Literature DB >> 9485515

Flexible protein-ligand docking by global energy optimization in internal coordinates.

M Totrov1, R Abagyan.   

Abstract

Eight protein-ligand complexes were simulated by using global optimization of a complex energy function, including solvation, surface tension, and side-chain entropy in the internal coordinate space of the flexible ligand and the receptor side chains [Abagyan, R.A., Totrov, M.M. J. Mol. Biol. 235: 983-1002, 1994]. The procedure uses two types of efficient random moves, a pseudobrownian positional move [Abagyan, R.A., Totrov, M.M., Kuznetsov, D.A. J. Comp. Chem. 15:488-506, 1994] and a Biased-Probability multitorsion move [Abagyan, R.A., Totrov, M.M. J. Mol. Biol. 235: 983-1002, 1994], each accompanied by full local energy minimization. The best docking solutions were further ranked according to the interaction energy, which included intramolecular deformation energies of both receptor and ligand, the interaction energy, surface tension, side-chain entropic contribution, and an electrostatic term evaluated as a boundary element solution of the Poisson equation with the molecular surface as a dielectric boundary. The geometrical accuracy of the docking solutions ranged from 30% to 70% according to the relative displacement error measure at a 1.5 A scale. Similar results were obtained when the explicit receptor atoms were replaced with a grid potential.

Mesh:

Substances:

Year:  1997        PMID: 9485515     DOI: 10.1002/(sici)1097-0134(1997)1+<215::aid-prot29>3.3.co;2-i

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  136 in total

1.  Deciphering common failures in molecular docking of ligand-protein complexes.

Authors:  G M Verkhivker; D Bouzida; D K Gehlhaar; P A Rejto; S Arthurs; A B Colson; S T Freer; V Larson; B A Luty; T Marrone; P W Rose
Journal:  J Comput Aided Mol Des       Date:  2000-11       Impact factor: 3.686

2.  Rational discovery of novel nuclear hormone receptor antagonists.

Authors:  M Schapira; B M Raaka; H H Samuels; R Abagyan
Journal:  Proc Natl Acad Sci U S A       Date:  2000-02-01       Impact factor: 11.205

3.  Identification of ligands for RNA targets via structure-based virtual screening: HIV-1 TAR.

Authors:  A V Filikov; V Mohan; T A Vickers; R H Griffey; P D Cook; R A Abagyan; T L James
Journal:  J Comput Aided Mol Des       Date:  2000-08       Impact factor: 3.686

4.  Soft protein-protein docking in internal coordinates.

Authors:  Juan Fernández-Recio; Maxim Totrov; Ruben Abagyan
Journal:  Protein Sci       Date:  2002-02       Impact factor: 6.725

5.  Improved docking, screening and selectivity prediction for small molecule nuclear receptor modulators using conformational ensembles.

Authors:  So-Jung Park; Irina Kufareva; Ruben Abagyan
Journal:  J Comput Aided Mol Des       Date:  2010-05-09       Impact factor: 3.686

6.  Virtual ligand screening of the p300/CBP histone acetyltransferase: identification of a selective small molecule inhibitor.

Authors:  Erin M Bowers; Gai Yan; Chandrani Mukherjee; Andrew Orry; Ling Wang; Marc A Holbert; Nicholas T Crump; Catherine A Hazzalin; Glen Liszczak; Hua Yuan; Cecilia Larocca; S Adrian Saldanha; Ruben Abagyan; Yan Sun; David J Meyers; Ronen Marmorstein; Louis C Mahadevan; Rhoda M Alani; Philip A Cole
Journal:  Chem Biol       Date:  2010-05-28

Review 7.  A review of protein-small molecule docking methods.

Authors:  R D Taylor; P J Jewsbury; J W Essex
Journal:  J Comput Aided Mol Des       Date:  2002-03       Impact factor: 3.686

8.  Characterization of his-tagged rat uroporphyrinogen III synthase wild-type and variant enzymes.

Authors:  Nan Li; Dik-Lung Ma; Xiaojun Liu; Long Wu; Xiusheng Chu; Kwok-Yin Wong; Ding Li
Journal:  Protein J       Date:  2007-12       Impact factor: 2.371

9.  In silico screening for PTPN22 inhibitors: active hits from an inactive phosphatase conformation.

Authors:  Shuangding Wu; Massimo Bottini; Robert C Rickert; Tomas Mustelin; Lutz Tautz
Journal:  ChemMedChem       Date:  2009-03       Impact factor: 3.466

10.  Difluoromethyl ketones: Potent inhibitors of wild type and carbamate-insensitive G119S mutant Anopheles gambiae acetylcholinesterase.

Authors:  Eugene Camerino; Dawn M Wong; Fan Tong; Florian Körber; Aaron D Gross; Rafique Islam; Elisabet Viayna; James M Mutunga; Jianyong Li; Maxim M Totrov; Jeffrey R Bloomquist; Paul R Carlier
Journal:  Bioorg Med Chem Lett       Date:  2015-09-08       Impact factor: 2.823

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.