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ClusPro LigTBM: Automated Template-based Small Molecule Docking

  • Andrey Alekseenko
  • , Sergei Kotelnikov
  • , Mikhail Ignatov
  • , Megan Egbert
  • , Yaroslav Kholodov
  • , Sandor Vajda
  • , Dima Kozakov
  • Stony Brook University
  • Innopolis University
  • Boston University

Research output: Contribution to journalArticlepeer-review

25 Scopus citations

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/.

Original languageEnglish
Pages (from-to)3404-3410
Number of pages7
JournalJournal of Molecular Biology
Volume432
Issue number11
DOIs
StatePublished - May 15 2020

Keywords

  • homology models
  • protein-ligand docking
  • structure refinement
  • template-based docking

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