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Complexation Dynamics of Calcium Ion in Chitosan Monomer: A Theoretical Assessment from the Gas-Phase to Microsolvation Environments

Abstract

This study investigates the interaction between calcium ions and glucosamine molecules (GlcN) gas-phase and the interaction of calcium ion with GlcN in the microsolvation environments using Car Parrinello molecular dynamics and density functional theory. Our findings reveal stable complexation between GlcN and calcium ions at various molecular sites in gas-phase and in the microsolvation environments. Furthermore, the Quantum Theory of Atoms in Molecules (QTAIM) analyses indicate a predominantly ionic character for all interactions in both gas-phase and microsolvation systems. The Natural Bond Orbital analyses demonstrate that the calcium ion serves as an electron acceptor, receiving lone pairs of electrons from oxygen and nitrogen atoms for its vacant orbitais. A comprehensive understanding of GlcN-calcium-water interactions at the molecular level can contribute to new research directions and applications for chitosan and its monomer, glucosamine, in the pharmacological domain.

Keywords:
glucosamine; Car-Parrinello molecular dynamics; DFT; ion calcium


Introduction

Calcium permeable ion channels are a regulator of a diverse set of cellular events, such as muscle contraction, neurotransmitter release, transport molecules, cellular proliferation, and cell death.11 Monteith, G. R.; McAndrew, D.; Faddy, H. M.; Roberts-Thomson, S. J.; Nat. Rev. Cancer 2007, 7, 519. [Crossref]
Crossref...
,22 Azimi, L; Roberts-Thomson, S. J.; Monteith, G. R.; Br. J. Pharmacol. 2014, 171, 945. [Crossref]
Crossref...
Medicinal studies have associated the dysregulated calcium metabolism with autism spectrum disorders,33 Nguyen, R. L.; Medvedeva, Y. V.; Ayyagari, T. E.; Schmunk, G.; Gargus, J. J.; Biochim. Biophys. Acta, Mol. Cell Res. 2018, 1865, 1718. [Crossref]
Crossref...
developing prostate,44 Shanahan, C. M.; Crouthamel, M. H.; Kapustin, A.; Giachelli, C. M.; Circ. Res. 2011, 109, 697. [Crossref]
Crossref...
,55 Aune, D.; Navarro Rosenblatt, D. A.; Chan, D. S. M.; Vieira, A. R.; Vieira, R.; Greenwood, D. C.; Vatten, L. J.; Norat, T.; Am. J. Clin. Nutr. 2015, 101, 87. [Crossref]
Crossref...
and breast cancers,22 Azimi, L; Roberts-Thomson, S. J.; Monteith, G. R.; Br. J. Pharmacol. 2014, 171, 945. [Crossref]
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neurodegenerative pathologies,66 Park, J. H.; Kim, J. N.; Jang, B. C.; Im, S. S.; Song, D. K.; Bae, J. H.; Environ. Toxicol. Pharmacol. 2016, 42, 1. [Crossref]
Crossref...
and as a cause of cardiovascular diseases such as myocardial infarction.77 Liu, J.; Pang, Y.; Chang, T.; Bounelis, P.; Chatham, J. C.; Marchase, R. B.; J. Mol. Cell. Cardiol. 2006, 40, 303. [Crossref]
Crossref...
,88 Yampolsky, P.; Koenen, M.; Mosqueira, M.; Geschwill, P.; Nauck, S.; Witzenberger, M.; Seyler, C.; Fink, T.; Kruska, M.; Bruehl, C.; Schwoerer, A. P.; Ehmke, H.; Fink, R. H. A.; Draguhn, A.; Thomas, D.; Katus, H. A.; Schweizer, P. A.; Nat. Commun. 2019, 10, 3295. [Crossref]
Crossref...

The search for natural components that may prevent and treat diseases has highlighted chitosan, a nontoxic biopolymer that is a partially deacetylated derivative of chitin.99 Chiandotti, R. S.; Rodrigues, P. C.; Akcelrud, L.;J. Braz. Chem. Soc. 2010, 21, 1910. [Crossref]
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Chitosan has hydroxyl and amine-reactive functional groups in its structure, which may ensure its bioactivities, such as its antimicrobial and antiinflammatory activity, hypocholesterolemia effect, and drug delivery.1010 Kaur, S.; Dhillon, G. S.; Crit. Rev. Microbiol. 2014, 40, 155. [Crossref]
Crossref...
,1111 Younes, I.; Rinaudo, M.; Mar. Drugs 2015, 13, 1133. [Crossref]
Crossref...
,1212 Ali, A.; Ahmed, S.; Int. J. Biol. Macromol. 2018, 109, 273. [Crossref]
Crossref...
,1313 Ahsan, S. M.; Thomas, M.; Reddy, K. K.; Sooraparaju, S. G.; Asthana, A.; Bhatnagar, I.; Int. J. Biol. Macromol. 2018, 110, 97. [Crossref]
Crossref...
,1414 Chen, M.-X.; Li, B.-K.; Yin, D.-K.; Liang, J.; Li, S.-S.; Peng, D.-Y; Carbohydr. Polym. 2014, 111, 298. [Crossref]
Crossref...
Its excellent ability to bind cations1515 Hernández, R. B.; Yola, O. R.; Mercê, A. L. R.; J. Braz. Chem. Soc. 2007, 18, 1388. [Crossref]
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has been explored to deliver and release bioactive molecules in the gastrointestinal tract: chitosan chelate Ca2+ improves the adsorption of these ions by the intestine.1616 Zhu, B.; He, H.; Guo, D.; Zhao, M.; Hou, T.; Food Hydrocoll. 2020, 102, 105567. [Crossref]
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In addition to medical and food applications, chitosan has attracted considerable interest in agriculture1717 Gonzag, M. L. C.; Campeio, M. S.; Saraiva, K. B.; Santos, A. Q. S.; Leal, L. K. A. M.; Ricardo, N. M. P. S.; Soares, S. A.; Ribeiro, M. E. N. P.; J. Braz. Chem. Soc. 2020, 31, 990. [Crossref]
Crossref...
and environmental industries, due to the manufacture of materials with a low impact on nature, in the form of films, hydrogel and fibers1818 Huang, B.; Liu, M.; Zhou, C.; Carbohydr. Polym. 2017, 175, 689. [Crossref]
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,1919 Escárcega-Galaz, A. A.; Sánchez-Machado, D. L; López-Cervantes, J.; Sanches-Silva, A.; Madera-Santana, T. J.; Paseiro-Losada, P.; Int. J. Biol. Macromol. 2018, 116, All. [Crossref]
Crossref...
,2020 Liverani, L.; Lacina, J.; Roether, J. A.; Boccardi, E.; Killian, M. S.; Schmuki, P.; Schubert, D. W.; Boccaccini, A. R.; Bioact. Mater. 2018, 3, 55. [Crossref]
Crossref...
and in the removal of heavy metals from water.2121 Zhang, L.; Zeng, Y; Cheng, Z.; J. Mol. Liq. 2016, 214, 175. [Crossref]
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,2222 Burakov, A. E.; Galunin, E. V.; Burakova, I. V; Kucherova, A. E.; Agarwal, S.; Tkachev, A. G.; Gupta, V K.; Ecotoxicol. Environ. Saf. 2018, 148, 702. [Crossref]
Crossref...
,2323 Vieira, C. L.; Sanches Neto, F. O.; Carvalho-Silva, V. H.; Signini, R.; J. Environ. Chem. Eng. 2019, 7, 103070. [Crossref]
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Chitosan is a linear polysaccharide composed of β-l,4-linked D-glucosamine (GlcN) and N-acetyl-D-glucosamine.1717 Gonzag, M. L. C.; Campeio, M. S.; Saraiva, K. B.; Santos, A. Q. S.; Leal, L. K. A. M.; Ricardo, N. M. P. S.; Soares, S. A.; Ribeiro, M. E. N. P.; J. Braz. Chem. Soc. 2020, 31, 990. [Crossref]
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Here, we choose to study chitosan monomer, the GlcN (Figure 1), which has many pharmacological applications2424 Zahedipour, F.; Dalirfardouei, R.; Karimi, G.; Jamialahmadi, K.; Biomed. Pharmacother. 2017, 95, 1051. [Crossref]
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,2525 Dalirfardouei, R.; Karimi, G.; Jamialahmadi, K.; Life Sci. 2016, 152, 21. [Crossref]
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including anti-inflammatory and immunomodulatory therapy, neuroprotective effect, treatment of osteoarthritis,2525 Dalirfardouei, R.; Karimi, G.; Jamialahmadi, K.; Life Sci. 2016, 152, 21. [Crossref]
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,2626 Towheed, T.; Maxwell, L.; Tp, A.; Shea, B.; Jb, H.; Welch, V.; Mc, H.; Ga, W.; Cochrane Database Syst. Rev. Glucosamine 2009, 1. [Crossref]
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cardiovascular diseases77 Liu, J.; Pang, Y.; Chang, T.; Bounelis, P.; Chatham, J. C.; Marchase, R. B.; J. Mol. Cell. Cardiol. 2006, 40, 303. [Crossref]
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,2424 Zahedipour, F.; Dalirfardouei, R.; Karimi, G.; Jamialahmadi, K.; Biomed. Pharmacother. 2017, 95, 1051. [Crossref]
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neurodegenerative pathology,66 Park, J. H.; Kim, J. N.; Jang, B. C.; Im, S. S.; Song, D. K.; Bae, J. H.; Environ. Toxicol. Pharmacol. 2016, 42, 1. [Crossref]
Crossref...
bacterial infection,2727 Wu, S.; Dai, X.; Shilong, F.; Zhu, M.; Shen, X.; Zhang, K.; Li, S.; Food Sci. Biotechnol. 2018, 27, 1. [Crossref]
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and anti-tumoral activities.2424 Zahedipour, F.; Dalirfardouei, R.; Karimi, G.; Jamialahmadi, K.; Biomed. Pharmacother. 2017, 95, 1051. [Crossref]
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Figure 1
GlcN molecular structure and atomic numbering used in the calculations.

From a theoretical point of view, several computational approaches have provided insights into the interaction of chitosan, GlcN, and their derivatives with metallic cations.2828 Terreux, R.; Domard, M.; Viton, C.; Domard, A.; Biomacromolecules 2006, 7, 31. [Crossref]
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,2929 Fattahi, A.; Ghorat, M.; Pourjavadi, A.; Kurdtabar, M.; Torabi, A. A.; Sci. Iran. 2008, 15, 422. [Crossref]
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,3030 Gomes, J. R. B.; Jorge, M.; Gomes, P.; J. Chem. Thermodyn. 2014, 73, 121. [Crossref]
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,3131 Hassan, B.; Muraleedharan, K.; Abdul Mujeeb, V. M.; Int. J. Biol. Macromol. 2015, 74, 483. [Crossref]
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,3232 Hassan, B.; Rajan, V. K.; Mujeeb, V. M. A.; Muraleedharan, K.; Int. J. Biol. Macromol. 2017, 99, 549. [Crossref]
Crossref...
,3333 Jeremić, S.; Tran, T. H.; Marković, Z.; Ngo, T. C; Dao, D. Q.; Comput. Theor. Chem. 2018, 1138, 99. [Crossref]
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,3434 Kotena, Z. M.; Fattahi, A.; J. Mol. Graphics Modell. 2020, 98, 107612. [Crossref]
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Fattahi et al.2929 Fattahi, A.; Ghorat, M.; Pourjavadi, A.; Kurdtabar, M.; Torabi, A. A.; Sci. Iran. 2008, 15, 422. [Crossref]
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used the B3LYP/6-311++G** calculation level of theory to study the complexation of GlcN with monovalent (Li+, Na+, K+) and bivalent (Mg2+, Ca2+ and Zn2+) cations. The results showed that monovalent ions form bidentate coordination and bivalent ions tetradentate coordination.

Gomes et al.3030 Gomes, J. R. B.; Jorge, M.; Gomes, P.; J. Chem. Thermodyn. 2014, 73, 121. [Crossref]
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also studied the interaction of GlcN with monovalent and divalent metals, namely Ni+, Ni2+, Cu+, Cu2+, Zn+, and Zn2+ cations, using the B3LYP/6-31G** level of theory in the absence and the presence of water. The calculations have shown that in the gaseous phase, the most stable complex with monovalent cations is that with Ni+ in the form of bidentate interaction with an amino group and hydroxyl oxygen. In the case of the divalent cations, Zn2+ and Ni2+ produce tridentate complexes with GlcN, binding with two hydroxyl oxygen and the ring oxygen. On the other hand, the complexation of GlcN and Cu2+ was stable in two configurations, the first one binding with two hydroxyl oxygen and the ring oxygen and the second one interacting with the amino group and hydroxyl oxygen. For the hydrated metal-GlcN, the configuration where ions were bound to the amino and a neighboring hydroxyl group provided more favorable complexes.

Hassan et al.3131 Hassan, B.; Muraleedharan, K.; Abdul Mujeeb, V. M.; Int. J. Biol. Macromol. 2015, 74, 483. [Crossref]
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using B3LYP/6-31G level of theory, studied the complexation of Pb2+ ions with chitosan monomer. The results showed the coordination of Pb2+ ions on different sites depending upon the initial position. The most stable complexation was binding Pb2+ with two GlcN's hydroxyl oxygen. In another study, Hassan et al.,3232 Hassan, B.; Rajan, V. K.; Mujeeb, V. M. A.; Muraleedharan, K.; Int. J. Biol. Macromol. 2017, 99, 549. [Crossref]
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using B3LYP/LanL2DZ, observed the complexation preference of Hg2+ with nitrogen and neighboring hydroxyl group of the GlcN. The results have shown that the presence of water molecules slightly affects the most favorable binding configuration and strongly stabilizes the metallic complexes by forming several hydrogen bonds.

The strategy that we followed to assess the complexation of the GlcN with the calcium cation in the gas-phase and aqueous microsolvation environment was to use the Car-Parrinello molecular dynamics (CPMD). To understand the nature of the chemical bond and stabilization energy of the complexes, we performed the Quantum Theory of Atoms in Molecules (QTAIM) and Natural Bond Orbital (NBO) analyses from snapshot structures taken from the ab initio molecular simulations.

Methodology

Molecular dynamics

The anomeric a and ß forms of GlcN are possible. The a form is predominantly protonated at the amino group (GlcN+), while the ß form is primarily non-protonated (GlcN).3535 Virués, C.; Hernández, J.; Higuera-Ciapara, L; Martínez-Benavidez, E.; Olivares-Romero, J. L.; Navarro, R. E.; Inoue, M.; Carbohydr. Res. 2020, 490, 107952. [Crossref]
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In this study, the analyses were conducted with the neutral β-GlcN, which is significantly present in biological systems.3434 Kotena, Z. M.; Fattahi, A.; J. Mol. Graphics Modell. 2020, 98, 107612. [Crossref]
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All the Car-Parrinello molecular dynamics (CPMD) simulations were carried out using the CPMD 4.1 package.3636 CPMD, IBM Corp, 1990-2015, MPI Fur Festkörperforschung Stuttgart, 1997-2001. [Link] accessed in January 2024
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The electronic structure was treated within the generalized gradient approximation to density functional theory (DFT),3737 Kohn, W.; Sham, L. J.;Phys. Rev. 1965, 140, A1 133. [Crossref]
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using the Perdew-Burke-Ernzerhof (PBE) exchange-correlation functional.3838 Perdew, J. P.; Burke, K.; Ernzerhof, M.; Phys. Rev. Lett. 1996, 77, 3865. [Crossref]
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The core was described using the norm-conserving Troullier and Martins pseudopotentials.3939 Troullier, N.; Martins, J. L.; Phys. Rev. B 1991, 43, 1993. [Crossref]
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The Kohn-Sham orbitais were expanded with a plane wave cutoff of 75 Ry and cutoff energy of 300 Ry for the charge density expansion. The fictitious electronic mass was set to be 400 a.u. with a time step of 4.0 a.u. The wavefunction optimizations for all systems were carried out using the direct inversion in the iterative subspace algorithm (ODIIS).4040 Hutter, J.; Lüthi, H. P.; Parrinello, M.; Comput. Mater. Sci. 1994, 2, 244. [Crossref]
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For the Brillouin zone sampling, only gamma points were used. The ionic temperature and the electronic fictitious kinetic energy were controlled by a chain of three Nose-Hoover thermostats4141 Nosé, S.; Mol. Phys. 1984, 52, 255. [Crossref]
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,4242 Hoover, W. G.; Phys. Rev. A 1985, 31, 1695. [Crossref]
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at 300 K. Simulations were performed in both the gas and the microsolvated environments. For the gas phase, one GlcN molecule and one calcium ion were placed inside a 16 Å cubic cell, and periodic boundary conditions were imposed for each trajectory. Four different initial configurations were built in order to account the possible interactions between Ca2+ and the main active sites of GlcN (−OH and −NH2 groups) as proposed by Jeremić et al.3333 Jeremić, S.; Tran, T. H.; Marković, Z.; Ngo, T. C; Dao, D. Q.; Comput. Theor. Chem. 2018, 1138, 99. [Crossref]
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The initial configurations ((GlcN-Ca2+ (1), GlcN-Ca2+ (2), GlcN-Ca2+ (3), and GlcN-Ca2+ (4)) can be seen in Figure 2. Under these conditions, a total simulation time of 29 ps was performed for each trajectory. To account for the aqueous micro-solvation effect in the complexation of calcium by GlcN, two simulations were performed. The initial configurations GlcN-Ca2+ (2), and GlcN-Ca2+ (3) were selected, and in each one, 12 water molecules were added. These simulations were run using the same molecular dynamics parameters as used in a gas-phase environment. All CPMD inputs were created with the Transitivity Codeversion 1.0.1.4343 Machado, H. G.; Sanches-Neto, F. O.; Coutinho, N. D.; Mundim, K. C.; Palazzetti, F.; Carvalho- Silva, V. H.; Molecules 2019, 24, 3478. [Crossref]
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Details of the computational program can be found on the literature.4444 Mphyschem, http://www.mphyschem.com/transitivity, accessed in January 2024.
http://www.mphyschem.com/transitivity...

Figure 2
The geometrical parameters are depicted at four different time points during the Car-Parrinello Molecular Dynamics simulation for four distinct initial configurations: GlcN–Ca2+ (1), GlcN–Ca2+(2), GlcN-Ca2+(3), and GlcN-Ca2+(4). These parameters illustrate the approach of the calcium ion towards the glucosamine sites throughout the simulation. At 29 ps, the bond distances represent the average interaction distance (in A) between the initial time of complex formation (complexation equilibrium) and the final time of the simulation.

Stationary electronic structure calculations

All the DFT calculations were carried out with the Gaussian 09 package.4545 Frisch, M. J.; Trucks, G. W.; Schlegel, H. B.; Scuseria, G. E.; Robb, M. A.; Cheeseman, J. R.; Scalmani, G.; Barone, V.; Mennucci, B.; Petersson, G. A.; Nakatsuji, H.; Caricato, M.; Li, X.; Hratchian, H. P.; Izmaylov, A. F.; Bloino, J.; Zheng, G.; Sonnenberg, J. L.; Hada, M.; Ehara, M.; Toyota, K.; Fukuda, R.; Hasegawa, J.; Ishida, M.; Nakajima, T.; Honda, Y.; Kitao, O.; Nakai, H.; Vreven, T.; Montgomery Jr., J. A.; Peralta, J. E.; Ogliaro, F.; Bearpark, M.; Heyd, J. J.; Brothers, E.; Kudin, K. N.; Staroverov, V. N.; Kobayashi, R.; Normand, J.; Raghavachari, K.; Rendell, A.; Burant, J. C.; Iyengar, S. S.; Tomasi, J.; Cossi, M.; Rega, N.; Millam, J. M.; Klene, M.; Knox, J. E.; Cross, J. B.; Bakken, V.; Adamo, C.; Jaramillo, J.; Gomperts, R.; Stratmann, R. E.; Yazyev, O.; Austin, A. J.; Cammi, R.; Pomelli, C.; Ochterski, J. W.; Martin, R. L.; Morokuma, K.; Zakrzewski, V. G.; Voth, G. A.; Salvador, P.; Dannenberg, J. J.; Dapprich, S.; Daniels, A. D.; Farkas, O.; Foresman, J. B.; Ortiz, J. V; Cioslowski, J.; Fox, D. J.; Gaussian 09, Revision E.01 ; Gaussian, Inc., Wallingford CT, USA, 2009. To obtain the complexation energy, we selected 100 equally spaced uncorrelated snapshots for each one of the molecular dynamics simulations after the equilibration of the complexation. In this study, we calculated the electronic structure for each of the 100 structures using the M06-2X/6-311++G(d,p) level of theory.4646 Zhao, Y.; Truhlar, D. G.; Theor. Chem. Acc. 2008, 120, 215. [Crossref]
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To account for dispersion effects, we corrected the energies using the Petersson-Frisch empirical dispersion term.4747 Boys, S. F. F.; Bernardi, F; Mol. Phys. 1970, 19, 553. [Crossref]
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The interaction energies for complexation between GlcN and the calcium ion were corrected for the basis set superposition error (BSSE) based on the counterpoise correction method,4747 Boys, S. F. F.; Bernardi, F; Mol. Phys. 1970, 19, 553. [Crossref]
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,4848 Faver, J. C.; Zheng, Z.; Merz, K. M.; J. Chem. Phys. 2011, 135, 144110. [Crossref]
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using equation 1:

(1) E int = E G l c N C a 2 + ( E G l c N + E C a 2 + )

where Eint represents the electronic energy of interaction between calcium ions and GlcN, EGlcNCa2+ is the electronic energy of complex, EGlcN and ECa2+ are the electronic energies of GlcN and calcium ion gas-phase, respectively. The deformation of the complexation was considered for each fragment. In the cases of the ion calcium-GlcN-water complexes, the interaction energies were calculated as:

(2) E int = E G l c N C a 2 + ( H 2 O ) n ( E G l c N + E C a 2 + + n E H 2 O )

where EGlcNCa2+(H2O)n stands for energy for the complex between calcium ion, GlcN, and n water molecules that complex, and EGlcN, EGlcN,ECa2+ and EH2O are the total energy for separate fragments. Each of the complexes' interaction energy was obtained by the average complexation energies of all uncorrected snapshots.

To understand the nature of interactions and charge distribution, a set of Quantum Theory of Atoms in Molecules (QTAIM)4949 Bader, R. F. W.; Acc. Chem. Res. 1985, 18, 9. [Crossref]
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and Natural Bond Orbital (NBO)5050 Reed, A. E.; Curtiss, L. A.; Weinhold, F.; Chem. Rev. 1988, 88, 899. [Crossref]
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calculations were performed. For QTAIM analysis, two snapshots were chosen between the equilibrium of complexation and the final time of simulation: one with the shortest and the other with the most extended interaction distances, which were carried out using the Multiwfn3.3.75151 Lu, T.; Chen, F.; J. Comput. Chem. 2012, 33, 580. [Crossref]
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software. For NBO analysis, one snapshot was chosen corresponding to the lowest complexation energy. The hyperconjugation interaction energy between an occupied (i) and an unoccupied (j) orbitais was calculated according to Second-Order Perturbation Theory, as described in equation 3:

(3) E ( 2 ) = h i ϕ i | F | ϕ j * 2 ε j * ε i = n i F ( i j ) 2 Δ E

where ni is the population occupation of the σ donor orbital, ϕ|F|φj* and F(ij)2 are the NBO Fock matrix element between i and j natural bond orbital, εj*εi is the difference between the energy of the antibonding orbital j* and the energy of the bonding orbitais i.

Results and Discussion

Molecular dynamics simulations

Gas-phase

Four initial configurations between GlcN and Ca2+ (GlcN−Ca2+ (1), GlcN−Ca2+ (2), GlcN−Ca2+ (3), and GlcN−Ca2+ (4)) that could lead to the formation of a stable complex were simulated by the Car-Parrinello molecular dynamics approach. The snapshots of trajectories for all the initial configurations at 300 K are illustrated in Figure 2. At 0 ps, the labeling scheme and geometric parameters for initial molecular configurations of Ca2+ and GlcN are presented (GlcN−Ca2+ (1), GlcN−Ca2+ (2), GlcN−Ca2+ (3), and GlcN−Ca2+ (4)). A clearer view of the formation of the interactions between GlcN and Ca2+ are shown in Figure 3, with evolution in time of the bond lengths formed between calcium and different main sites of GlcN. The complexation energies for all complexes studied were calculated by the average of the complexation energies of 100 uncorrelated snapshots. The frames were selected after equilibration of complexation.

Figure 3
The bond lengths formed between the sites of glucosamine and Ca2+ and the broken bonds are reported as a function of time for the trajectories of the four different initial configurations GlcN–Ca2+ (1), GlcN–Ca2+ (2), GlcN–Ca2+ (3), and GlcN–Ca2+ (4) at 300 K.

In the GlcN-Ca2+ (1) configuration, the Ca2+ was initially positioned at 2.85 Å from N12 and 4.50 Å from 03 atoms of GlcN. After about 300 f s of the simulation, an interaction was formed by the approximation of Ca2+ on the N12 (Figures 2 and 3). After 0.7 ps, the bidentate contact was formed by binding between Ca2+ and 03, and almost at 3.7 ps, a third interaction was observed by the 02 atom, which was approaching the Ca2+ forming a tridentate stable complex (Ta_N20) that remained in equilibration until the end of the simulation, in form of pyramidal geometry with average complexation energy of −681.51 kJ mol-1.

In the GlcN−Ca2+ (2) initial configuration, the calcium ion was first positioned close to two −OH groups: at 3.45 Å from 02 and 3.37 Å from 03. Almost 200 fs, bidentate interactions were formed simultaneously by the binding of Ca2+ with 02 and 03. After 400 fs, Ca2+ interacts with O1, leading to a tridentate pyramidal species which survives for 1.4 ps, when by the binding of O4, a four-coordinate seesaw geometry (Fc_4O) was formed (Figures 2 and 3). It remained in equilibrium until the end of the simulation, which obtained the average complexation energy of −794.53 kJ mol-1.

In the third initial configuration, GlcN−Ca2+ (3), the calcium ion was initially positioned at 4.92 Å of O2 and 3.68 Å of O5 sites of GlcN. The interaction with O5 occurs quickly, about 200 fs, and shortly after that (300 fs), the hydrogen of the hydroxyl group (H17) was transferred to N12, protonating the amino group. It was only after 18.6 ps that O2 bound with Ca2+, resulting in a bidentate complex (Bi_20) forming a hexagonal ring with GlcN that remained in equilibration until the end of the simulation (Figures 2 and 3). The average complexation energy for this bidentate complex was −781.60 kJ mol-1.

In GlcN-Ca2+ (4), Ca2+ was initially positioned at 3.31 Å from O5 and 3.79 Å from N12, as shown in Figure 2. At about 100 fs, the calcium ion bound with O5, at around 242 fs with N12 and around 532 fs with O1, forming a second stable tridentate complex Tb_N2O of pyramidal geometry (Figures 2 and 3), which remained in equilibration until the end of the simulation with average complexation energy of −680.50 kJ mol-1.

These simulations showed that the adsorption of a calcium ion by GlcN in the gas-phase environment occurred in different sites of GlcN, leading to the formation of complexes with different geometries, coordination numbers, and stabilities. The most stable complex was Fc_4O, because of its four bonds between GlcN sites and Ca2+. The second most stable was the bidentate complex, in which hydrogen was transferred from hydroxyl to the amino group (Bi_2O) followed by the tridentate complex formed by binding between two hydroxyls and one nitro group (Ta_N2O). The least stable was a tridentate complex-forming by binding with the heteroatom, one hydroxyl group, and the amino group (Tb_N2O).

Microsolvation

The two initial configurations that led to the most stable complexes in gas-phase simulations were selected (GlcN–Ca2+ (2) and GlcN–Ca2+ (3)) to study the role of water solvation in the interaction of the capture of a calcium ion by GlcN. In each one of the nanoreactors, 12 H2O molecules were added. Figure 4 shows the structures obtained by microsolvation simulations. The complex formed (Hp_3O_4W) by the microsolvation started from GlcN–Ca2+ (2) presented four interactions with water molecules and three with hydroxyl groups of the GlcN, given a calcium coordination number of seven. The interactions of this complexation started when the calcium ion approached O2 and O3 almost simultaneously (0.01 ps); shortly after that, three water molecules approached about 0.145, 0.290, and 0.435 ps. Only after 4 ps that O1 of GlcN and the fourth water molecule bound with the calcium ion. In our previous study,5252 Camargo, L. T. M.; Signini, R.; Catharina, A.; Rodrigues, C.; Lopes, Y. F.; Camargo, A. J.; 2020, 124, 6986. [Crossref]
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in which we simulated the water solvation of GlcN molecule using ab initio molecular dynamics, the results showed that the water molecules formed interactions with different sites of GlcN. Here, we also found a similar behavior; for instance, the H21 and N12 atoms of GlcN interacted with the oxygen and hydrogen from a water molecule during the simulation.

Figure 4
The geometrical parameters of the complexes formed between the calcium ion and glucosamine in a microsolvation environment by Car-Parrinello Molecular Dynamics. The coordination bond lengths correspond to the average distance / Å, of the interaction between the initial time of complex formation and the final time of the simulation.

It was observed in the second trajectory, from the GlcN-Ca2+ (3) initial configuration that the complex formation began at 0.17 ps when O5 and a water molecule approached the calcium ion, forming two interactions in the opposite direction. A tridentate complex was created by the interaction of the second water molecule at about 0.21 ps. The third water was complexed at about 2.05 ps. It was only at about 5.04 ps that 04 and the fourth water molecule interacted with the calcium ion in opposite directions, forming a hexacoordinate complex (Hx_2O_4W) that remained until the end simulation. It is worth mentioning that the intramolecular hydrogen transfer between the hydroxyl group and the amino group of GlcN was not observed in the microsolvation environment, as occurred in the gas-phase environment, since water molecules modified the geometric parameters of GlcN, thus avoiding the approximation of hydroxyl hydrogen to the amino group.

The interaction energies of Hp_3O_4W and Hx_2O_4W were, respectively, –718.99 and –429.52 kJ mol-1, suggesting that the microsolvation process promotes a decrease of 75.54 and 352.08 kJ mol-1, respectively, in the interaction energies between the GlcN and the calcium ion.

Helmholtz free energy

The Helmholtz free energies were estimated using equation 4:

(4) F = K B T ln [ P ( Δ r ) ]

where F and KB stand for Helmholtz free energy and Boltzmann constant, respectively. T and P(∆r) represent the system temperature and the hydrogen bond length distribution function, respectively.

Figure 5 shows Helmholtz's free energies (F) calculated for the four trajectories between GlcN and Ca2+ interactions. In the Ta_N2O, the interaction that showed the most stable Helmholtz's free energy was the Ca--O3, with an energy barrier estimated in ∆F = –16 kJ mol-1. The Ca--O2 and Ca--N12 interactions showed flat energy barriers, with values around –12 kJ mol-1. In the Fc_4O complex, the energy of the four interactions were similar, with values of about –16 kJ mol-1. In the Bi_2O complex, the Ca–O5 interaction was more stable than the Ca–O2 interaction, the energy barriers were estimated at –20 and –16 kJ mol-1, respectively. The energy barriers for the Tb_N2O complex were estimated around –16 kJ mol-1 for each interaction (see Figure 5).

Figure 5
Helmholtz's free energies (F) for the interaction between GlcN and Ca2+ for the complexes (a) Ta_N2O, (b) Fc_4O, (c) Bi_2O, and (d) Tb_N2O in gas-phase.

Figure 6 shows Helmholtz's free energy of the interactions between GlcN and Ca2+ for two complex structures formed in microsolvated environment. For the Hp_3O_4W complex, the interaction Ca--O1 showed to be the most stable with a free energy barrier around –16 kJ mol-1. The interactions Ca--02 and Ca--N12 showed flat energy barriers with values about – 12 kJ mol-1. In the Hx_2O_4W, the energies of the Ca---O4 and Ca---O5 interactions had similar values about –16 kJ mol-1. Therefore, the formation of the two complexes is energetically favorable.

Figure 6
Helmholtz's free energy (F) for the interaction between GlcN and Ca2+ for the complexes (a) Hp_3O_4W and (b) Hx_2O_4W.

Quantum theory of atoms in molecules

The ability of Bader's Quantum theory of Atoms in Molecules (QTAIM)4949 Bader, R. F. W.; Acc. Chem. Res. 1985, 18, 9. [Crossref]
Crossref...
to explore and characterize the nature of the atom-atom interactions in a molecular system in terms of properties of electronic density at bond critical points (BCP) is well documented.5353 Kumar, P. S. V.; Raghavendra, V.; Subramanian, V.; J. Chem. Sci. 2016, 128, 1527. [Crossref]
Crossref...
,5454 Lepetit, C.; Fau, P.; Fajerwerg, K.; Kahn, M. L.; Silvi, B.; Coord. Chem. Rev. 2017, 345, 150. [Crossref]
Crossref...
The signs and values of the Laplacian electron density, ∇2ρ(r), and the electron density, ρ(r), at the corresponding BCP are in accordance with the following conditions:4949 Bader, R. F. W.; Acc. Chem. Res. 1985, 18, 9. [Crossref]
Crossref...
(i) 100 < 0.1 and ∇2ρ(r) > 0 as closed-shell interactions such as hydrogen bonds, van der Waals interactions, and ionic bonds;5555 Boyd, R. J.; Matta, F.; Boyd, R. J.; Matta, C. F.; Boyd, R. J.; The Quantum Theory of Atoms in Molecules; Wiley-VCH Verlag GmbH & Co. KGaA: Weinheim, Germany, 2007. (ii) ρ(r) > 0.2 and ∇2ρ(ρ) < 0 indicate predominantly covalent interactions. The magnitude of ρ(r) reflects the "degree of covalency" present in each interaction, i.e., increases in values of ρ(r) lead to a higher covalent character of the interaction.

For each of the complexes, two non-correlated snapshots of each interaction between GlcN and the calcium cation were selected to obtain the range in which the density and the Laplacian vary throughout the simulation time: one corresponding to the shortest distance bond and the other to the longest distance bond. Table 1 and Figure S1 (Supplementary Information section) show the topological properties of electronic density in the BCP of each interaction, distance bond, and the time of the simulation in which the properties were investigated.

Table 1
Distances simulation, time and topological parameters of the electron density, calculated at the M06-2X/6-31G** level of theory

Except for the longest distance for the Ca--O3 interaction of the Fc_4O, in all other interactions of four complexes, the presence of BCP was seen. For the longest distances, the density found a range between 0.01 and 0.042 a.u. with positive Laplacians, and for the shortest distances, a range between 0.048 to 0.095 au was observed, also with positive Laplacians revealing a closed-shell character for all interactions observed in all four complexes.

The ionic character of the interactions was carried out by the ratio of the potential energy module and kinetic energy in critical point: |V(r)|/G(r), e.g., if values of |V(r)|/G(r) < 1 showed a predominant ionic nature; if 1 < | V(r)|/G(r) < 2, a partially covalent nature, and if |V(r)|/G(r) > 2 a covalent nature.4949 Bader, R. F. W.; Acc. Chem. Res. 1985, 18, 9. [Crossref]
Crossref...
,5656 Astani, E. K.; Chen, N. C.; Huang, Y. C.; Bahrami, A.; Chen, L. Y.; Lin, P. R.; Guan, H. H.; Lin, C. C.; Chuankhayan, P.; Hadipour, N. L.; Chen, C. J.; J. Mol. Graphics Modell. 2017, 78, 61. [Crossref]
Crossref...
The interactions showed values of |V(r)|/G(r) in the range between 0.752 and 1.043, revealing an ionic nature. Only two interactions N12 in Tb_N20 and Ca--O5 in Bi_2O showed values 1 < |V(r)|/G(r) < 2, both in the shortest interaction distance; however, these values were very close to 1, which leads us to believe that they also have a predominantly ionic character.

Both complexes formed in the microsolvation environment indicated the presence of BCP, except for the longest distance of the Ca--O2 and Ca--O3 of the Hp_3O_4W complex and Ca--w1 and Ca--w3 of the Hx_O2_W4 complex. The range of the electronic density varying from 0.005 to 0.014 au with positive Laplacians, and for the shortest distances varying from 0.020 to 0.058 a.u. (see Table 2), also with positive Laplacians, revealing the closed-shell character for all interactions. The ratio values |V(r)|/G(r) are less than 1, showing the ionic nature of these interactions. Furthermore, it is noteworthy that due to lower electronic densities observed in these interactions, as compared with those in complexes formed in the gas-phase, it is estimated that the complexes with water molecules have a stronger ionic character.

Table 2
Distances simulation, time and topological parameters of the electron density calculated at the M06-2X/6-31G** level of theory

Natural bond orbital analysis

To identify the most important orbitais involved in the ionic interactions of these complexes, the NBO analysis was carried out using the M06-2X/6-311++G(d,p) level of theory. The NBO analysis was performed by taking the snapshot that showed the lowest complexation energy during the simulations. The most important values of energy are given in Table 3 for complexes in the gas phase and Table 4 for complexes in the microsolvation environment. The NBO analyses (Table 3) showed that interactions of GlcN with the calcium cation result mainly from charge transfer from n lone pairs of the orbital of oxygen and nitrogen atoms from GlcN into the n* empty orbitais of the calcium cation. For instance, the higher hyperconjugation energies for Fc_4O were n2(O1)→n1*(Ca), n2(O2)→n1*(Ca), n2(O3)→n1*(Ca) and n2(O4)→n1*(Ca), with stabilization energies of 41.88, 22.93, 30.88, and 37.82 kJ mol-1, respectively. The highest donations of electron densities were observed from lone pairs of the nitrogen atom on the Ta_N2O and Tb_N2O complexes, with stabilization energies of 64.06 and 66.07 kJ mol-1, respectively.

Table 3
The most important second-order interaction energies, between the donor and acceptor NBOs for each complex between GlcN and calcium cation in gas-phase
Table 4
The most important second-order interaction energies, E(2) between the donor and acceptor NBOs for each complex between GlcN and calcium cation in microsolvation environment

The formation of complexes in the water environment are governed by interactions of lone pairs of the orbital of oxygen and nitrogen atoms from GlcN and the lone pair orbital of an oxygen atom from water molecules into the n* empty orbitais of the calcium cation, i.e., the highest hyperconjugation energy was n2O(w3)→n3*(Ca) with stabilization energy of 71.26 kJ mol-1. The heptadentate complex shows higher hyperconjugation energy, which explains its higher energy of complexation and stability, leading us to believe this would be the most favorable structure in a reaction environment.

The NBO-derived charge of the calcium ion was estimated in both the gas phase and microsolvation environment. The average charge values of the calcium ion, for the frames with the shortest distances between interactions (Ca_O1, Ca_O2, and Ca_O3) in Fc_O4 and Hp_3O_4W, were 1.797 (Cal.797+) in Fc_O4 and 1.619 (Cal.619+) in Hp_3O_4W. Consequently, it can be concluded that water molecules transfer charges to the calcium ion.

Molecular orbital analysis

Figure 7 illustrates the frontier molecular orbitais, HOMO (highest occupied molecular orbital) and LUMO (lowest unoccupied molecular orbital). The energies of these orbitais and the difference between them (Gap = ELUMO – EHOMO) are crucial parameters for determining electronic properties and reactivity of molecules, including chemical potential and chemical hardness. The ionization potential, I ≈ –EHOMO, and electron affinity, A ≈ –ELUMO, are related to the energy difference between the HOMO and LUMO orbitais. Molecules with larger gap values are typically hard and stable, whereas those with smaller gap values are often soft and reactive.5757 Parr, R. G.; Pearson, R. G.; J. Am. Chem. Soc. 1983, 105, 7512. [Crossref]
Crossref...
The energy gaps for the frame with the smallest distance of interaction between the Ca and O1 atoms in Fc_4O (Figure 7a) and Hp_3O_4W (Figure 7b) were 282.410 and 150.985 kcal mol-1, respectively. Therefore, compared to GlcN complex in the gas-phase and microsolvation environments, GlcN complex in the gas-phase environment is more stable. It is interesting to note that the LUMO orbital energy is significantly negative for both complexes. This occurs because our analysis does not consider the presence of counter ions, as our primary focus is to investigate the interaction between the calcium ion and GlcN.

Figure 7
The HOMO and LUMO plot for (a) Fc_4O (b) Hp_3O_4W, calculated at M06-2X/6-311++G(d,p) level of theory.

Conclusions

The Car-Parrinello molecular dynamics and density functional theory were employed to investigate the interactions between GlcN and calcium ions in gas-phase and aqueous microsolvation environments. The simulations demonstrated that stable GlcN∙∙∙Ca2+ complexes can form at various sites on GlcN, mainly with hydroxyl and amino groups. The complexation energy in the gas-phase ranges from –680.50 to –794.53 kJ mol-1. QTAIM analyses revealed a closed-shell character for all interactions, while NBO analyses indicated that they mainly arise from charge transfer between the n lone pairs of the oxygen and nitrogen atoms from GlcN to the empty n orbitais of the calcium cation.

The microsolvation simulations showed that the presence of water molecules does not inhibit GlcN's interaction with the calcium ion, but rather decreases the complexation energies, especially for the Hx_2O_4W complex. QTAIM analyses demonstrated that all interactions remain ionic, as observed in the gas-phase environment. NBO analyses revealed that all interactions are governed by interactions of lone pairs from oxygen and nitrogen atoms of GlcN and lone pairs from oxygen atoms of water molecules with the empty n orbitais of the calcium ion. The Helmholtz's free energies indicated that GlcN–Ca2+ interactions are energetically favorable in both gas-phase and microsolvation environments. Given GlcN's extensive biological activities, a microscopic understanding of GlcN–Ca2+ complexation can guide new investigations and applications of GlcN in developing novel therapeutic applications.

Supplementary Information

Supplementary information is available free of charge at http://jbcs.sbq.org.br as PDF file.

Acknowledgments

The authors gratefully acknowledge financial support from FAPEG (Fundação de Ampara à Pesquisa do Estado de Goiás). We also thank the High-Performance Computing Center of the State University of Goiás for extensive computer support.

References

  • 1
    Monteith, G. R.; McAndrew, D.; Faddy, H. M.; Roberts-Thomson, S. J.; Nat. Rev. Cancer 2007, 7, 519. [Crossref]
    » Crossref
  • 2
    Azimi, L; Roberts-Thomson, S. J.; Monteith, G. R.; Br. J. Pharmacol. 2014, 171, 945. [Crossref]
    » Crossref
  • 3
    Nguyen, R. L.; Medvedeva, Y. V.; Ayyagari, T. E.; Schmunk, G.; Gargus, J. J.; Biochim. Biophys. Acta, Mol. Cell Res. 2018, 1865, 1718. [Crossref]
    » Crossref
  • 4
    Shanahan, C. M.; Crouthamel, M. H.; Kapustin, A.; Giachelli, C. M.; Circ. Res. 2011, 109, 697. [Crossref]
    » Crossref
  • 5
    Aune, D.; Navarro Rosenblatt, D. A.; Chan, D. S. M.; Vieira, A. R.; Vieira, R.; Greenwood, D. C.; Vatten, L. J.; Norat, T.; Am. J. Clin. Nutr. 2015, 101, 87. [Crossref]
    » Crossref
  • 6
    Park, J. H.; Kim, J. N.; Jang, B. C.; Im, S. S.; Song, D. K.; Bae, J. H.; Environ. Toxicol. Pharmacol. 2016, 42, 1. [Crossref]
    » Crossref
  • 7
    Liu, J.; Pang, Y.; Chang, T.; Bounelis, P.; Chatham, J. C.; Marchase, R. B.; J. Mol. Cell. Cardiol. 2006, 40, 303. [Crossref]
    » Crossref
  • 8
    Yampolsky, P.; Koenen, M.; Mosqueira, M.; Geschwill, P.; Nauck, S.; Witzenberger, M.; Seyler, C.; Fink, T.; Kruska, M.; Bruehl, C.; Schwoerer, A. P.; Ehmke, H.; Fink, R. H. A.; Draguhn, A.; Thomas, D.; Katus, H. A.; Schweizer, P. A.; Nat. Commun. 2019, 10, 3295. [Crossref]
    » Crossref
  • 9
    Chiandotti, R. S.; Rodrigues, P. C.; Akcelrud, L.;J. Braz. Chem. Soc. 2010, 21, 1910. [Crossref]
    » Crossref
  • 10
    Kaur, S.; Dhillon, G. S.; Crit. Rev. Microbiol. 2014, 40, 155. [Crossref]
    » Crossref
  • 11
    Younes, I.; Rinaudo, M.; Mar. Drugs 2015, 13, 1133. [Crossref]
    » Crossref
  • 12
    Ali, A.; Ahmed, S.; Int. J. Biol. Macromol. 2018, 109, 273. [Crossref]
    » Crossref
  • 13
    Ahsan, S. M.; Thomas, M.; Reddy, K. K.; Sooraparaju, S. G.; Asthana, A.; Bhatnagar, I.; Int. J. Biol. Macromol. 2018, 110, 97. [Crossref]
    » Crossref
  • 14
    Chen, M.-X.; Li, B.-K.; Yin, D.-K.; Liang, J.; Li, S.-S.; Peng, D.-Y; Carbohydr. Polym. 2014, 111, 298. [Crossref]
    » Crossref
  • 15
    Hernández, R. B.; Yola, O. R.; Mercê, A. L. R.; J. Braz. Chem. Soc. 2007, 18, 1388. [Crossref]
    » Crossref
  • 16
    Zhu, B.; He, H.; Guo, D.; Zhao, M.; Hou, T.; Food Hydrocoll. 2020, 102, 105567. [Crossref]
    » Crossref
  • 17
    Gonzag, M. L. C.; Campeio, M. S.; Saraiva, K. B.; Santos, A. Q. S.; Leal, L. K. A. M.; Ricardo, N. M. P. S.; Soares, S. A.; Ribeiro, M. E. N. P.; J. Braz. Chem. Soc. 2020, 31, 990. [Crossref]
    » Crossref
  • 18
    Huang, B.; Liu, M.; Zhou, C.; Carbohydr. Polym. 2017, 175, 689. [Crossref]
    » Crossref
  • 19
    Escárcega-Galaz, A. A.; Sánchez-Machado, D. L; López-Cervantes, J.; Sanches-Silva, A.; Madera-Santana, T. J.; Paseiro-Losada, P.; Int. J. Biol. Macromol. 2018, 116, All. [Crossref]
    » Crossref
  • 20
    Liverani, L.; Lacina, J.; Roether, J. A.; Boccardi, E.; Killian, M. S.; Schmuki, P.; Schubert, D. W.; Boccaccini, A. R.; Bioact. Mater. 2018, 3, 55. [Crossref]
    » Crossref
  • 21
    Zhang, L.; Zeng, Y; Cheng, Z.; J. Mol. Liq. 2016, 214, 175. [Crossref]
    » Crossref
  • 22
    Burakov, A. E.; Galunin, E. V.; Burakova, I. V; Kucherova, A. E.; Agarwal, S.; Tkachev, A. G.; Gupta, V K.; Ecotoxicol. Environ. Saf. 2018, 148, 702. [Crossref]
    » Crossref
  • 23
    Vieira, C. L.; Sanches Neto, F. O.; Carvalho-Silva, V. H.; Signini, R.; J. Environ. Chem. Eng. 2019, 7, 103070. [Crossref]
    » Crossref
  • 24
    Zahedipour, F.; Dalirfardouei, R.; Karimi, G.; Jamialahmadi, K.; Biomed. Pharmacother. 2017, 95, 1051. [Crossref]
    » Crossref
  • 25
    Dalirfardouei, R.; Karimi, G.; Jamialahmadi, K.; Life Sci. 2016, 152, 21. [Crossref]
    » Crossref
  • 26
    Towheed, T.; Maxwell, L.; Tp, A.; Shea, B.; Jb, H.; Welch, V.; Mc, H.; Ga, W.; Cochrane Database Syst. Rev. Glucosamine 2009, 1. [Crossref]
    » Crossref
  • 27
    Wu, S.; Dai, X.; Shilong, F.; Zhu, M.; Shen, X.; Zhang, K.; Li, S.; Food Sci. Biotechnol. 2018, 27, 1. [Crossref]
    » Crossref
  • 28
    Terreux, R.; Domard, M.; Viton, C.; Domard, A.; Biomacromolecules 2006, 7, 31. [Crossref]
    » Crossref
  • 29
    Fattahi, A.; Ghorat, M.; Pourjavadi, A.; Kurdtabar, M.; Torabi, A. A.; Sci. Iran. 2008, 15, 422. [Crossref]
    » Crossref
  • 30
    Gomes, J. R. B.; Jorge, M.; Gomes, P.; J. Chem. Thermodyn. 2014, 73, 121. [Crossref]
    » Crossref
  • 31
    Hassan, B.; Muraleedharan, K.; Abdul Mujeeb, V. M.; Int. J. Biol. Macromol. 2015, 74, 483. [Crossref]
    » Crossref
  • 32
    Hassan, B.; Rajan, V. K.; Mujeeb, V. M. A.; Muraleedharan, K.; Int. J. Biol. Macromol. 2017, 99, 549. [Crossref]
    » Crossref
  • 33
    Jeremić, S.; Tran, T. H.; Marković, Z.; Ngo, T. C; Dao, D. Q.; Comput. Theor. Chem. 2018, 1138, 99. [Crossref]
    » Crossref
  • 34
    Kotena, Z. M.; Fattahi, A.; J. Mol. Graphics Modell. 2020, 98, 107612. [Crossref]
    » Crossref
  • 35
    Virués, C.; Hernández, J.; Higuera-Ciapara, L; Martínez-Benavidez, E.; Olivares-Romero, J. L.; Navarro, R. E.; Inoue, M.; Carbohydr. Res. 2020, 490, 107952. [Crossref]
    » Crossref
  • 36
    CPMD, IBM Corp, 1990-2015, MPI Fur Festkörperforschung Stuttgart, 1997-2001. [Link] accessed in January 2024
    » Link
  • 37
    Kohn, W.; Sham, L. J.;Phys. Rev. 1965, 140, A1 133. [Crossref]
    » Crossref
  • 38
    Perdew, J. P.; Burke, K.; Ernzerhof, M.; Phys. Rev. Lett. 1996, 77, 3865. [Crossref]
    » Crossref
  • 39
    Troullier, N.; Martins, J. L.; Phys. Rev. B 1991, 43, 1993. [Crossref]
    » Crossref
  • 40
    Hutter, J.; Lüthi, H. P.; Parrinello, M.; Comput. Mater. Sci. 1994, 2, 244. [Crossref]
    » Crossref
  • 41
    Nosé, S.; Mol. Phys. 1984, 52, 255. [Crossref]
    » Crossref
  • 42
    Hoover, W. G.; Phys. Rev. A 1985, 31, 1695. [Crossref]
    » Crossref
  • 43
    Machado, H. G.; Sanches-Neto, F. O.; Coutinho, N. D.; Mundim, K. C.; Palazzetti, F.; Carvalho- Silva, V. H.; Molecules 2019, 24, 3478. [Crossref]
    » Crossref
  • 44
    Mphyschem, http://www.mphyschem.com/transitivity, accessed in January 2024.
    » http://www.mphyschem.com/transitivity
  • 45
    Frisch, M. J.; Trucks, G. W.; Schlegel, H. B.; Scuseria, G. E.; Robb, M. A.; Cheeseman, J. R.; Scalmani, G.; Barone, V.; Mennucci, B.; Petersson, G. A.; Nakatsuji, H.; Caricato, M.; Li, X.; Hratchian, H. P.; Izmaylov, A. F.; Bloino, J.; Zheng, G.; Sonnenberg, J. L.; Hada, M.; Ehara, M.; Toyota, K.; Fukuda, R.; Hasegawa, J.; Ishida, M.; Nakajima, T.; Honda, Y.; Kitao, O.; Nakai, H.; Vreven, T.; Montgomery Jr., J. A.; Peralta, J. E.; Ogliaro, F.; Bearpark, M.; Heyd, J. J.; Brothers, E.; Kudin, K. N.; Staroverov, V. N.; Kobayashi, R.; Normand, J.; Raghavachari, K.; Rendell, A.; Burant, J. C.; Iyengar, S. S.; Tomasi, J.; Cossi, M.; Rega, N.; Millam, J. M.; Klene, M.; Knox, J. E.; Cross, J. B.; Bakken, V.; Adamo, C.; Jaramillo, J.; Gomperts, R.; Stratmann, R. E.; Yazyev, O.; Austin, A. J.; Cammi, R.; Pomelli, C.; Ochterski, J. W.; Martin, R. L.; Morokuma, K.; Zakrzewski, V. G.; Voth, G. A.; Salvador, P.; Dannenberg, J. J.; Dapprich, S.; Daniels, A. D.; Farkas, O.; Foresman, J. B.; Ortiz, J. V; Cioslowski, J.; Fox, D. J.; Gaussian 09, Revision E.01 ; Gaussian, Inc., Wallingford CT, USA, 2009.
  • 46
    Zhao, Y.; Truhlar, D. G.; Theor. Chem. Acc. 2008, 120, 215. [Crossref]
    » Crossref
  • 47
    Boys, S. F. F.; Bernardi, F; Mol. Phys. 1970, 19, 553. [Crossref]
    » Crossref
  • 48
    Faver, J. C.; Zheng, Z.; Merz, K. M.; J. Chem. Phys. 2011, 135, 144110. [Crossref]
    » Crossref
  • 49
    Bader, R. F. W.; Acc. Chem. Res. 1985, 18, 9. [Crossref]
    » Crossref
  • 50
    Reed, A. E.; Curtiss, L. A.; Weinhold, F.; Chem. Rev. 1988, 88, 899. [Crossref]
    » Crossref
  • 51
    Lu, T.; Chen, F.; J. Comput. Chem. 2012, 33, 580. [Crossref]
    » Crossref
  • 52
    Camargo, L. T. M.; Signini, R.; Catharina, A.; Rodrigues, C.; Lopes, Y. F.; Camargo, A. J.; 2020, 124, 6986. [Crossref]
    » Crossref
  • 53
    Kumar, P. S. V.; Raghavendra, V.; Subramanian, V.; J. Chem. Sci. 2016, 128, 1527. [Crossref]
    » Crossref
  • 54
    Lepetit, C.; Fau, P.; Fajerwerg, K.; Kahn, M. L.; Silvi, B.; Coord. Chem. Rev. 2017, 345, 150. [Crossref]
    » Crossref
  • 55
    Boyd, R. J.; Matta, F.; Boyd, R. J.; Matta, C. F.; Boyd, R. J.; The Quantum Theory of Atoms in Molecules; Wiley-VCH Verlag GmbH & Co. KGaA: Weinheim, Germany, 2007.
  • 56
    Astani, E. K.; Chen, N. C.; Huang, Y. C.; Bahrami, A.; Chen, L. Y.; Lin, P. R.; Guan, H. H.; Lin, C. C.; Chuankhayan, P.; Hadipour, N. L.; Chen, C. J.; J. Mol. Graphics Modell. 2017, 78, 61. [Crossref]
    » Crossref
  • 57
    Parr, R. G.; Pearson, R. G.; J. Am. Chem. Soc. 1983, 105, 7512. [Crossref]
    » Crossref

Edited by

Editor handled this article: Paula Homem-de-Mello (Associate)

Publication Dates

  • Publication in this collection
    11 Mar 2024
  • Date of issue
    2024

History

  • Received
    23 Nov 2022
  • Accepted
    27 Feb 2024
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