Literature DB >> 24108416

GalaxyDock2: protein-ligand docking using beta-complex and global optimization.

Woong-Hee Shin1, Jae-Kwan Kim, Deok-Soo Kim, Chaok Seok.   

Abstract

In this article, an enhanced version of GalaxyDock protein-ligand docking program is introduced. GalaxyDock performs conformational space annealing (CSA) global optimization to find the optimal binding pose of a ligand both in the rigid-receptor mode and the flexible-receptor mode. Binding pose prediction has been improved compared to the earlier version by the efficient generation of high-quality initial conformations for CSA using a predocking method based on a beta-complex derived from the Voronoi diagram of receptor atoms. Binding affinity prediction has also been enhanced by using the optimal combination of energy components, while taking into consideration the energy of the unbound ligand state. The new version has been tested in terms of binding mode prediction, binding affinity prediction, and virtual screening on several benchmark sets, showing improved performance over the previous version and AutoDock, on which the GalaxyDock energy function is based. GalaxyDock2 also performs better than or comparable to other state-of-the-art docking programs. GalaxyDock2 is freely available at http://galaxy.seoklab.org/softwares/galaxydock.html.
Copyright © 2013 Wiley Periodicals, Inc.

Entities:  

Keywords:  Voronoi diagram; beta-complex; conformational space annealing; protein-ligand docking; receptor flexibility

Mesh:

Substances:

Year:  2013        PMID: 24108416     DOI: 10.1002/jcc.23438

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  21 in total

1.  Advances in GPCR modeling evaluated by the GPCR Dock 2013 assessment: meeting new challenges.

Authors:  Irina Kufareva; Vsevolod Katritch; Raymond C Stevens; Ruben Abagyan
Journal:  Structure       Date:  2014-07-24       Impact factor: 5.006

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

3.  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

4.  Comparison of the umbrella sampling and the double decoupling method in binding free energy predictions for SAMPL6 octa-acid host-guest challenges.

Authors:  Naohiro Nishikawa; Kyungreem Han; Xiongwu Wu; Florentina Tofoleanu; Bernard R Brooks
Journal:  J Comput Aided Mol Des       Date:  2018-10-15       Impact factor: 3.686

5.  Benchmarking predictions of allostery in liver pyruvate kinase in CAGI4.

Authors:  Qifang Xu; Qingling Tang; Panagiotis Katsonis; Olivier Lichtarge; David Jones; Samuele Bovo; Giulia Babbi; Pier L Martelli; Rita Casadio; Gyu Rie Lee; Chaok Seok; Aron W Fenton; Roland L Dunbrack
Journal:  Hum Mutat       Date:  2017-05-02       Impact factor: 4.878

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.  Absolute binding free energies for octa-acids and guests in SAMPL5 : Evaluating binding free energies for octa-acid and guest complexes in the SAMPL5 blind challenge.

Authors:  Florentina Tofoleanu; Juyong Lee; Frank C Pickard Iv; Gerhard König; Jing Huang; Minkyung Baek; Chaok Seok; Bernard R Brooks
Journal:  J Comput Aided Mol Des       Date:  2016-09-30       Impact factor: 3.686

8.  Absolute binding free energy calculations of CBClip host-guest systems in the SAMPL5 blind challenge.

Authors:  Juyong Lee; Florentina Tofoleanu; Frank C Pickard; Gerhard König; Jing Huang; Ana Damjanović; Minkyung Baek; Chaok Seok; Bernard R Brooks
Journal:  J Comput Aided Mol Des       Date:  2016-09-27       Impact factor: 3.686

9.  PL-PatchSurfer2: Improved Local Surface Matching-Based Virtual Screening Method That Is Tolerant to Target and Ligand Structure Variation.

Authors:  Woong-Hee Shin; Charles W Christoffer; Jibo Wang; Daisuke Kihara
Journal:  J Chem Inf Model       Date:  2016-08-19       Impact factor: 4.956

10.  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

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