Literature DB >> 29993242

ColDock: Concentrated Ligand Docking with All-Atom Molecular Dynamics Simulation.

Kazuhiro Takemura, Chika Sato, Akio Kitao1.   

Abstract

We propose a simple but efficient and accurate method to generate protein-ligand complex structures, called Concentrated ligand Docking (ColDock). This method consists of multiple independent molecular dynamics simulations in which ligands are initially distributed randomly around a protein at relatively high concentration (∼100 mM). This condition significantly increases the probability of the ligand exploring the protein surface, which induces spontaneous ligand binding to the correct binding sites within a 100 ns MD. After clustering of the protein-bound ligand poses, representatives of the populationally dominant clusters are considered as predicted ligand poses. We applied ColDock to four cases starting from holo protein structures and showed that ColDock can generate "correct" ligand poses very similar to the crystal complex structures. Correct ligand poses are also well reproduced in three out of four cases started from apo structures, with the exception being a case with an initially closed binding pocket. The results indicate that ColDock can be used as a protein-ligand docking as long as the ligand binding pocket is initially open. Plausible protein-ligand complex structures can be easily generated by conducting the ColDock procedure using standard MD simulation software.

Year:  2018        PMID: 29993242     DOI: 10.1021/acs.jpcb.8b02756

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  4 in total

1.  Application of Site-Identification by Ligand Competitive Saturation in Computer-Aided Drug Design.

Authors:  Himanshu Goel; Anthony Hazel; Wenbo Yu; Sunhwan Jo; Alexander D MacKerell
Journal:  New J Chem       Date:  2021-11-29       Impact factor: 3.591

2.  Exploring ligand binding pathways on proteins using hypersound-accelerated molecular dynamics.

Authors:  Mitsugu Araki; Shigeyuki Matsumoto; Gert-Jan Bekker; Yuta Isaka; Yukari Sagae; Narutoshi Kamiya; Yasushi Okuno
Journal:  Nat Commun       Date:  2021-05-14       Impact factor: 14.919

3.  Ligand Binding Path Sampling Based on Parallel Cascade Selection Molecular Dynamics: LB-PaCS-MD.

Authors:  Hayato Aida; Yasuteru Shigeta; Ryuhei Harada
Journal:  Materials (Basel)       Date:  2022-02-17       Impact factor: 3.623

Review 4.  From Data to Knowledge: Systematic Review of Tools for Automatic Analysis of Molecular Dynamics Output.

Authors:  Hanna Baltrukevich; Sabina Podlewska
Journal:  Front Pharmacol       Date:  2022-03-10       Impact factor: 5.810

  4 in total

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