Using Molecular Simulations to Probe Pharmaceutical Materials

被引:22
作者
Cui, Yong [1 ]
机构
[1] Genentech Inc, Small Mol Pharmaceut Sci, San Francisco, CA 94080 USA
关键词
molecular modeling; molecular dynamics; Monte Carlo; stochasticity; force field; thermodynamics/statistical mechanics; materials science; IN-SILICO PREDICTION; DYNAMICS SIMULATIONS; FORCE-FIELD; HYDROTROPIC SOLUBILIZATION; DRUG SOLUBILITY; FREE-ENERGY; WATER; COMPLEXES; ASSOCIATION; SOLVATION;
D O I
10.1002/jps.22392
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
Evolved through the past 60 years, molecular simulations have become one of the most important analytical tools in many theoretical and applied scientific disciplines. This paper provides a brief introduction to molecular simulations as a means of addressing important scientific questions of interest to pharmaceutical scientists. The focus is on fundamental questions such as: (1) Why do simulations work? (2) How to simulate? (3) How to make the results of simulations "real?" (4) Where can simulations be applied? To demonstrate the fundamental rationale of molecular simulations, three perspectives, thermodynamics, statistical mechanics, and general statistics, are compared. The concept of stochasticity is introduced, followed by a brief account of the two major methods used in simulations, molecular dynamics and Monte Carlo simulations. A brief discussion is then given on force fields to indicate their central importance. To facilitate the discussion about possible applications to pharmaceutical systems, the characteristics of molecular simulations are first compared with those of laboratory experiments. Case studies are then introduced to demonstrate the strengths of simulations. Some frequently encountered questions also are presented and discussed. (C)2010 Wiley-Liss, Inc. and the American Pharmacists Association J Pharm Sci 100:2000-2019, 2011
引用
收藏
页码:2000 / 2019
页数:20
相关论文
共 53 条
[1]  
AGARWAL BK, 1998, STAT MECH, P12
[2]  
Baranovskii S.F., 2007, J APPL SPECTROSC, V74, P211, DOI [DOI 10.1007/S10812-007-0033-8, DOI 10.1007/510812-007-0033-8]
[3]   The metropolis algorithm [J].
Beichl, I ;
Sullivan, F .
COMPUTING IN SCIENCE & ENGINEERING, 2000, 2 (01) :65-69
[5]  
BOYLAN J, 1986, THEORY PRACTICE IND, P246
[6]  
CARTER AH, 2001, CLASSICAL STAT THERM, P233
[7]  
CHANDLER D, 1987, INTRO MODERN STAT ME, pCH3
[8]   Design of therapeutic proteins with enhanced stability [J].
Chennamsetty, Naresh ;
Voynov, Vladimir ;
Kayser, Veysel ;
Helk, Bernhard ;
Trout, Bernhardt L. .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2009, 106 (29) :11937-11942
[9]   Computer simulation of the cryoprotectant disaccharide α,α-trehalose in aqueous solution [J].
Conrad, PB ;
de Pablo, JJ .
JOURNAL OF PHYSICAL CHEMISTRY A, 1999, 103 (20) :4049-4055
[10]   Parallel stacking of caffeine with riboflavin in aqueous solutions: The potential mechanism for hydrotropic solubilization of riboflavin [J].
Cui, Yong .
INTERNATIONAL JOURNAL OF PHARMACEUTICS, 2010, 397 (1-2) :36-43