Molecular mechanics approaches for rational drug design: forcefields and solvation models

被引:1
|
作者
Bekono, Boris D. [4 ]
Sona, Alfred N. [1 ]
Eni, Donatus B. [1 ,5 ]
Owono, Luc C. O. [4 ,6 ]
Megnassan, Eugene [7 ]
Ntie-Kang, Fidele [1 ,2 ,3 ]
机构
[1] Univ Buea, Dept Chem, POB 63 Buea, Buea, Cameroon
[2] Martin Luther Univ Halle Wittenberg, Dept Pharmaceut Chem, Kurt Mothes Str 4, D-06120 Halle, Saale, Germany
[3] Tech Univ Dresden, Inst Bot, Zellescher Weg 20b, D-01062 Dresden, Germany
[4] Univ Yaounde I, Dept Phys, Ecole Normale Super, POB 47, Yaounde, Cameroon
[5] Univ Yaounde I, Fac Sci, Dept Inorgan Chem, BP 812, Yaounde, Cameroon
[6] Univ Douala, Fac Sci, CEPAMOQ, POB 8580, Douala, Cameroon
[7] Univ Abobo Adjame, Lab Phys Fondamentale & Appl LPFA, Nangui Abrogoua, Abidjan 02, Cote Ivoire
关键词
drug design; forcefields; molecular mechanics; solvation models; CONSISTENT FORCE-FIELD; QM/MM METHODS; SIMULATIONS; PROTEINS; DYNAMICS; PROGRAM; CONFORMATIONS; PARAMETERS; DISCOVERY; CHARGES;
D O I
10.1515/psr-2019-0128
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The use of molecular mechanics (MM) in understanding the energy and target of a drug, its structures, and properties has increased recently. This is achieved by the formulation of a simple MM energy equation, which represents the sum of the different energy interactions, often referred to as "forcefields" (FFs). The concept of FFs is now widely used as one of the fundamental tools for the in silico prediction of drug-target interactions. To generate more accurate predictions in the in silico drug discovery projects, the solvent effects are often taken into account. This review seeks to present an introductory guide for the reader on the fundamentals of MM with special emphasis on the role of FFs and the solvation models.
引用
收藏
页码:457 / 477
页数:21
相关论文
共 50 条
  • [1] Solvation modeling for rational drug design.
    Truhlar, DG
    Cramer, CJ
    Thompson, JD
    Winget, PD
    Xidos, JD
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2002, 223 : U464 - U465
  • [2] BigEndothelin isoforms: Molecular models as targets for rational drug design
    Peto, H
    Janes, RW
    Wallace, BA
    BIOPHYSICAL JOURNAL, 1998, 74 (02) : A255 - A255
  • [3] Chemogenomic approaches to rational drug design
    Rognan, D.
    BRITISH JOURNAL OF PHARMACOLOGY, 2007, 152 (01) : 38 - 52
  • [4] New approaches to rational drug design
    Farber, GK
    PHARMACOLOGY & THERAPEUTICS, 1999, 84 (03) : 327 - 332
  • [5] ANTIBODIES AS MODELS FOR RATIONAL DRUG DESIGN
    HABER, E
    BIOCHEMICAL PHARMACOLOGY, 1983, 32 (13) : 1967 - 1977
  • [6] Rational Approaches to Improving Selectivity in Drug Design
    Huggins, David J.
    Sherman, Woody
    Tidor, Bruce
    JOURNAL OF MEDICINAL CHEMISTRY, 2012, 55 (04) : 1424 - 1444
  • [7] TRYPANOTHIONE METABOLISM AND RATIONAL APPROACHES TO DRUG DESIGN
    FAIRLAMB, AH
    BIOCHEMICAL SOCIETY TRANSACTIONS, 1990, 18 (05) : 717 - 720
  • [8] MOLECULAR MODELING, MOLECULAR MECHANICS, AND DRUG DESIGN
    RIPKA, WC
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 1990, 199 : 154 - ORGN
  • [9] Solvation free energy calculations with quantum mechanics/molecular mechanics and machine learning models
    Zhang, Pan
    Shen, Lin
    Yang, Weitao
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2019, 258
  • [10] Solvation Free Energy Calculations with Quantum Mechanics/Molecular Mechanics and Machine Learning Models
    Zhang, Pan
    Shen, Lin
    Yang, Weitao
    JOURNAL OF PHYSICAL CHEMISTRY B, 2019, 123 (04): : 901 - 908