The Interaction between Gabapentin and Cations to Improve Its Stability
YANG Li-xiang1, LI Dai-xi1*, LIU Bao-lin1, WEI Dong-qing2, GUO Bai-song3, LUAN Han-sen4, XI Quan4, WANG Hao4
1. Institute of Food Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China; 2. State Key Laboratory of Microbial Metabolism, Shanghai Jiaotong University, Shanghai 200240, China; 3. Injection Laboratory, Shanghai Tofflon Science and Technology Co., Ltd., Shanghai 201108, China; 4. China State Institute of Pharmaceutical Industry, Shanghai 201203, China
Abstract��OBJECTIVE To reduce the occurrence of subsidiary reaction by studying the effects of different ions on the dehydration condensation reaction mechanism and energy barrier of gabapentin. METHODS The molecular structure of the drug before and after adding different ions were optimized using the density functional theory (DFT) with B3LYP method at the 6-311+G (d, p) basis set level, and its structural parameters and thermodynamic parameters were calculated. RESULTS The energy barriers of the subsidiary reaction obviously increased no matter what cations were added, and zinc ion was the best. CONCLUSION It was proved that cations can effectively inhibit gabapentin from compensating to produce 3,3-pentamethylene-4-butyrolactam. The mechanism is using proper ion to change electrostatic interaction and the electron distribution of the active groups on the reactant so as to increase the barrier of the subsidiary reaction of gabapentin, thus inhibiting the occurrence of dehydration condensation reaction.
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YANG Li-xiang, LI Dai-xi, LIU Bao-lin, WEI Dong-qing, GUO Bai-song, LUAN Han-sen, XI Quan, WANG Hao. The Interaction between Gabapentin and Cations to Improve Its Stability. Chinese Pharmaceutical Journal, 2018, 53(19): 1658-1666.
FENG J, LI L, GENG L C. Research progress of gabapentin in the treatment of neuropathic pain. Med Rev(ҽѧ����), 2011, 17(14):2167-2169.
[2]
MORETTI R, TORRE P, ANTONELLO R M, et al. Opsoclonus-myoclonus syndrome:gabapentin as a new therapeutic proposal . Eur J Neurol, 2000, 7(4):455-456.
[3]
OPSTELTEN W, WIJCK A J V, ESSEN G A V, et al. The pine study:rationale and design of a randomised comparison of epidural injection of local anaesthetics and steroids versus care-as-usual to prevent postherpetic neuralgia in the elderly. Bmc Anesthesiol, 2004, 4(1):1-7.
[4]
LIU T, HUANG Y, FAN W. Process suitable for industrial scale production of gabapentin:US, US7442834 . 2008.
[5]
TURCOTTE D, DOUPE M, TORABI M, et al. Nabilone as an adjunctive to gabapentin for multiple sclerosis-induced neuropathic pain:a randomized controlled trial . Pain Med, 2015, 16(1):149-159.
[6]
TANG S P, LI Q, YU Y Q, et al. Progress in the application of gabapentin in perioperative period . Clin Med J(�ٴ���ҽ��־), 2010, 38(2):309-311.
[7]
ZHANG J F, LU X Y. Studies on the stability of gabapentin . J Chem Eng Chin Univ(��У��ѧ����ѧ��), 2012,26(5):800-805.
[8]
LIU J, XIA X, LI Y, et al. Theoretical study on the interaction of glutathione with group IA (Li+, Na+, K+ ), IIA (Be2+, Mg2+, Ca2+ ), and IIIA (Al3+) metal cations . Struct Chem, 2013, 24(1):251-261.
[9]
AND L R, HAVLAS Z. Theoretical studies of metal ion selectivity. DFT calculations of interaction energies of amino acid side chains with selected transition metal ions (Co2+, Ni2+, Cu2+, Zn2+, Cd2+, and Hg2+) . J Am Chem Soc, 2006, 122(42):10428-10439.
[10]
WERNER H J, KNOWLES P J, KNIZIA G, et al. Molpro:a general-purpose quantum chemistry program package . Wiley Interdiscip Rev Comput Mol Sci, 2012, 2(2):242-253.
[11]
TAKAHASHI Y, MINAI Y. The effect of Na+, Mg2+, and Ca2+ ions on the formation of Eu (III)-humate complex . J Nucl Radiochem Sci, 2004, 5(2):37-44.
[12]
SYLLAIYARRETA M V, DUMAS F, GONZALEZDIAZ H. Editorial:new experimental and computational tools for drug discovery:from chemistry to biology. Part-�� . Curr Top Med Chem, 2017, 17(25):2901-2920.
[13]
NATSUMEKITATANI Y, MIZUGUCHI K. Computational systems biology for drug discovery:from molecules, structures to networks . Nihon Yakurigaku Zasshi, 2017, 149(2):91-95.
[14]
OUYANG D, SMITH S C. Computational pharmaceutics:application of molecular modeling in drug delivery . Adv Pharm Technol, 2015, 1(1):1-30
[15]
LI D X, LUAN H S, GUO B S, et al. Practical computing pharmacy-effective pharmacy tools . Chin J Pham(�й�ҽҩ��ҵ��־),2017,48(12):1673-1684.
[16]
BIKADI Z, HAZAI E. Application of the PM6 semi-empirical method to modeling proteins enhances docking accuracy of AutoDock . J Chem Inf, 2009, 1(1):1-16.
[17]
CHAN K K, CHO S G, CHANG K K, et al. Prediction of physicochemical properties of organic molecules using semi-empirical methods . Bull Korean Chem Soc, 2013, 34(4):1043-1046.
[18]
ZHANG H, LIU J, SHEN J, et al. A combined experimental and theoretical study of micronized coal reburning . Front Energy(��Դǰ��), 2013, 7(1):119-126.
[19]
SIMÓN L, GOODMAN J M. How reliable are DFT transition structures? Comparison of GGA, hybrid-meta-GGA and meta-GGA functionals . Org Biomol Chem, 2011, 9(3):689-700.
[20]
TIRADORIVES J, JORGENSEN W L. Performance of B3LYP density functional methods for a large set of organic molecules . J Chem Theory Comput, 2008, 4(2):297-306.
[21]
MALKI Z E, BOUZZINE S M, BEJJIT L, et al. Density functional theory study of a new copolymer based on carbazole and (3,4-Ethylenedioxythiophene) in their aromatic and polaronic states . J Appl Polym Sci, 2011, 122(5):3351-3360.
[22]
MARENICH A V, CRAMER C J, TRUHLAR D G. Performance of SM6, SM8, and SMD on the SAMPL1 test set for the prediction of small-molecule solvation free energies . J Phys Chem B, 2009, 113(14):4538-4543.
[23]
MIGUEL E L M, SANTOS C I L, SILVA C M, et al. How accurate is the SMD model for predicting free energy barriers for nucleophilic substitution reactions in polar protic and dipolar aprotic solvents?. J Braz Chem Soc, 2016,27(11):2055-2061.
[24]
MÜLLER K, BROWN L D. Location of saddle points and minimum energy paths by a constrained simplex optimization procedure. Theor Chem Acc, 1979, 53(1):75-93.
[25]
FUKUI K. The path of chemical reactions��the IRC approach . Acc Chem Res, 1981, 14(12):471-476.
[26]
FOURNIER R, BULUSU S, CHEN S, et al. Using swarm intelligence for finding transition states and reaction paths . J Chem Phys, 2011, 135(10):107-187.
[27]
COMBA P, MARTIN B, MURUGANANTHAM A, et al. Structure, bonding, and catecholase mechanism of copper bispidine complexes. Inorg Chem, 2012, 51(17): 9214-9225.
[28]
JIA M, GAO Y M. Relationship between trace elements magnesium, zinc, iron, phosphorus and human health . Chin J Med Health(�л�ҽѧ�뽡��), 2005,9(18):32-36.
[29]
MAI G Q. Trace elements zinc . Sichuan Med(�Ĵ�ҽѧ), 1995,28(6):379-381.
[30]
BM B, SHARMA R, ALTINOLU E I, et al. Bioconjugation of calcium phosphosilicate composite nanoparticles for selective targeting of human breast and pancreatic cancers in vivo . Acs Nano, 2016, 4(3):1279-1287.
[31]
DONG H M. Calcium in the human body . Bull Biol, 2002, 37(1):22-23.
[32]
PLUHATOR M M, THOMSON A B R, FEDORAK R N. Clinical aspects of trace elements:zinc in human nutrition-zinc metabolism . Nutrition, 2016, 8(12):1673-1697.
[33]
VILKOV Z. Pharmaceutical Tablet Formulation Containing Gabapentin with Improved Physical and Chemical Characteristics and Method of Making the Same US.US6294198. 2001.
[34]
HU Z Q, GONG C R, JIN C M. Molecular orbital theory studies on bond energy��.The comparison of the judgment of bond strength by bond energy mulliken's overlap population. Acta Chem Sin(��ѧѧ��), 1999, 57(4):353-357.