Literature DB >> 23198780

GalaxyDock: protein-ligand docking with flexible protein side-chains.

Woong-Hee Shin1, Chaok Seok.   

Abstract

An important issue in developing protein-ligand docking methods is how to incorporate receptor flexibility. Consideration of receptor flexibility using an ensemble of precompiled receptor conformations or by employing an effectively enlarged binding pocket has been reported to be useful. However, direct consideration of receptor flexibility during energy optimization of the docked conformation has been less popular because of the large increase in computational complexity. In this paper, we present a new docking program called GalaxyDock that accounts for the flexibility of preselected receptor side-chains by global optimization of an AutoDock-based energy function trained for flexible side-chain docking. This method was tested on 3 sets of protein-ligand complexes (HIV-PR, LXRβ, cAPK) and a diverse set of 16 proteins that involve side-chain conformational changes upon ligand binding. The cross-docking tests show that the performance of GalaxyDock is higher or comparable to previous flexible docking methods tested on the same sets, increasing the binding conformation prediction accuracy by 10%-60% compared to rigid-receptor docking. This encouraging result suggests that this powerful global energy optimization method may be further extended to incorporate larger magnitudes of receptor flexibility in the future. The program is available at http://galaxy.seoklab.org/softwares/galaxydock.html .

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Year:  2012        PMID: 23198780     DOI: 10.1021/ci300342z

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  18 in total

Review 1.  Receptor-ligand molecular docking.

Authors:  Isabella A Guedes; Camila S de Magalhães; Laurent E Dardenne
Journal:  Biophys Rev       Date:  2013-12-21

2.  GalaxyDock BP2 score: a hybrid scoring function for accurate protein-ligand docking.

Authors:  Minkyung Baek; Woong-Hee Shin; Hwan Won Chung; Chaok Seok
Journal:  J Comput Aided Mol Des       Date:  2017-06-16       Impact factor: 3.686

Review 3.  Software for molecular docking: a review.

Authors:  Nataraj S Pagadala; Khajamohiddin Syed; Jack Tuszynski
Journal:  Biophys Rev       Date:  2017-01-16

4.  GalaxySite: ligand-binding-site prediction by using molecular docking.

Authors:  Lim Heo; Woong-Hee Shin; Myeong Sup Lee; Chaok Seok
Journal:  Nucleic Acids Res       Date:  2014-04-21       Impact factor: 16.971

5.  BP-Dock: a flexible docking scheme for exploring protein-ligand interactions based on unbound structures.

Authors:  Ashini Bolia; Z Nevin Gerek; S Banu Ozkan
Journal:  J Chem Inf Model       Date:  2014-03-04       Impact factor: 4.956

6.  Scoring Functions for Protein-Ligand Binding Affinity Prediction using Structure-Based Deep Learning: A Review.

Authors:  Rocco Meli; Garrett M Morris; Philip C Biggin
Journal:  Front Bioinform       Date:  2022-06-17

7.  CSAR 2014: A Benchmark Exercise Using Unpublished Data from Pharma.

Authors:  Heather A Carlson; Richard D Smith; Kelly L Damm-Ganamet; Jeanne A Stuckey; Aqeel Ahmed; Maire A Convery; Donald O Somers; Michael Kranz; Patricia A Elkins; Guanglei Cui; Catherine E Peishoff; Millard H Lambert; James B Dunbar
Journal:  J Chem Inf Model       Date:  2016-05-17       Impact factor: 4.956

8.  Prediction of CB[8] host-guest binding free energies in SAMPL6 using the double-decoupling method.

Authors:  Kyungreem Han; Phillip S Hudson; Michael R Jones; Naohiro Nishikawa; Florentina Tofoleanu; Bernard R Brooks
Journal:  J Comput Aided Mol Des       Date:  2018-08-06       Impact factor: 3.686

9.  Chemogenomic approach to identifying nematode chemoreceptor drug targets in the entomopathogenic nematode Heterorhabditis bacteriophora.

Authors:  Reeham Motaher; Emilia Grill; Elise McKean; Eric Kenney; Ioannis Eleftherianos; John M Hawdon; Damien M O'Halloran
Journal:  Comput Biol Chem       Date:  2021-02-24       Impact factor: 3.737

10.  GalaxyRefine: Protein structure refinement driven by side-chain repacking.

Authors:  Lim Heo; Hahnbeom Park; Chaok Seok
Journal:  Nucleic Acids Res       Date:  2013-06-03       Impact factor: 16.971

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