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
相关论文
共 50 条
  • [31] G Protein Coupled Receptors - In Silico Drug Discovery and Design
    Sela, I.
    Golan, G.
    Strajbl, M.
    Rivenzon-Segal, D.
    Bar-Haim, S.
    Bloch, I.
    Inbal, B.
    Shitrit, A.
    Ben-Zeev, E.
    Fichman, M.
    Markus, Y.
    Marantz, Y.
    Senderowitz, H.
    Kalid, O.
    CURRENT TOPICS IN MEDICINAL CHEMISTRY, 2010, 10 (06) : 638 - 656
  • [32] A Comparative Analysis of the Molecular Interaction Techniques for In Silico Drug Design
    Sarkar, Avipsha
    Sen, Shampa
    INTERNATIONAL JOURNAL OF PEPTIDE RESEARCH AND THERAPEUTICS, 2020, 26 (01) : 209 - 223
  • [33] Comparing reliability of grid-based Quality-Diversity algorithms using artificial landscapes
    Cazenille, Leo
    PROCEEDINGS OF THE 2019 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE COMPANION (GECCCO'19 COMPANION), 2019, : 249 - 250
  • [34] New Developments and Applications of Docking and High-Throughput Docking for Drug Design and in silico Screening
    Ferrara, Philippe
    Priestle, John P.
    Vangrevelinghe, Eric
    Jacoby, Edgar
    CURRENT COMPUTER-AIDED DRUG DESIGN, 2006, 2 (01) : 83 - 91
  • [35] A grid-based genetic algorithm combined with an adaptive simulated annealing for protein structure prediction
    Alexandru-Adrian Tantar
    Nouredine Melab
    El-Ghazali Talbi
    Soft Computing, 2008, 12
  • [36] Design of a grid service-based platform for in silico protein-ligand screenings
    Levesque, Marshall J.
    Ichikawa, Kohei
    Date, Susumu
    Haga, Jason H.
    COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2009, 93 (01) : 73 - 82
  • [37] A Novel Quad Harmony Search Algorithm for Grid-based Path Finding Regular Paper
    Koceski, Saso
    Panov, Stojanche
    Koceska, Natasa
    Zobel, Pierluigi Beomonte
    Durante, Francesco
    INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2014, 11
  • [38] Design and in silico screening of inhibitors of the cholera toxin
    Zhang, Guangtao
    EXPERT OPINION ON DRUG DISCOVERY, 2009, 4 (09) : 923 - 938
  • [39] Computer-aided drug design: Integration of structure-based and ligand-based approaches in drug design
    Prathipati, Philip
    Dixit, Anshuman
    Saxena, Anil K.
    CURRENT COMPUTER-AIDED DRUG DESIGN, 2007, 3 (02) : 133 - 148
  • [40] Identification of a novel class of small compounds with anti-tuberculosis activity by in silico structure-based drug screening
    Taira, Junichi
    Morita, Koji
    Kawashima, Shotaro
    Umei, Tomohiro
    Baba, Hiroki
    Maruoka, Taira
    Komatsu, Hideyuki
    Sakamoto, Hiroshi
    Sacchettini, James C.
    Aoki, Shunsuke
    JOURNAL OF ANTIBIOTICS, 2017, 70 (11) : 1057 - 1064