Grid-Based Technologies for In Silico Screening and Drug Design

被引:29
|
作者
Potemkin, Vladimir [1 ]
Grishina, Maria [1 ]
机构
[1] South Ural State Univ, 20-A Tchaikovsky Str, Chelyabinsk 454080, Russia
关键词
Drug design; docking; 3D/4D QSAR; genetic algorithm; virtual screening; antipharmacophore; MM3; FORCE-FIELD; MOLECULAR-MECHANICS; ENERGY MINIMIZATION; GENETIC ALGORITHM;
D O I
10.2174/0929867325666180309112454
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Various techniques for rational drug design are presented in the paper. The methods are based on a substitution of antipharmacophore atoms of the molecules of training dataset by new atoms and/or group of atoms increasing the atomic bioactivity increments obtained from an SAR study. Furthermore, a design methodology based on the genetic algorithm DesPot for discrete optimization and generation of new drug candidate structures is described. Additionally, wide spectra of SAR approaches (3D/4D QSAR interior and exterior-based methods - BiS, CiS, ConGO, CoMIn, high-quality docking method - ReDock) using MERA force field and/or AlteQ quantum chemical method for correct prognosis of bioactivity and the bioactive probability have been described. The design methods are implemented at www.chemosophia.com web-site for online computational services.
引用
收藏
页码:3526 / 3537
页数:12
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