Literature DB >> 31863748

ClusPro LigTBM: Automated Template-based Small Molecule Docking.

Andrey Alekseenko1, Sergei Kotelnikov2, Mikhail Ignatov3, Megan Egbert4, Yaroslav Kholodov5, Sandor Vajda6, Dima Kozakov7.   

Abstract

The template-based approach has been essential for achieving high-quality models in the recent rounds of blind protein-protein docking competition CAPRI (Critical Assessment of Predicted Interactions). However, few such automated methods exist for protein-small molecule docking. In this paper, we present an algorithm for template-based docking of small molecules. It searches for known complexes with ligands that have partial coverage of the target ligand, performs conformational sampling and template-guided energy refinement to produce a variety of possible poses, and then scores the refined poses. The algorithm is available as the automated ClusPro LigTBM server. It allows the user to specify the target protein as a PDB file and the ligand as a SMILES string. The server then searches for templates and uses them for docking, presenting the user with top-scoring poses and their confidence scores. The method is tested on the Astex Diverse benchmark, as well as on the targets from the last round of the D3R (Drug Design Data Resource) Grand Challenge. The server is publicly available as part of the ClusPro docking server suite at https://ligtbm.cluspro.org/.
Copyright © 2019. Published by Elsevier Ltd.

Entities:  

Keywords:  homology models; protein-ligand docking; structure refinement; template-based docking

Mesh:

Substances:

Year:  2019        PMID: 31863748      PMCID: PMC7890944          DOI: 10.1016/j.jmb.2019.12.011

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  30 in total

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5.  Conservation of binding properties in protein models.

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  6 in total

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