Literature DB >> 27074979

SPOT-Ligand: Fast and effective structure-based virtual screening by binding homology search according to ligand and receptor similarity.

Yuedong Yang1, Jian Zhan1, Yaoqi Zhou1.   

Abstract

Structure-based virtual screening usually involves docking of a library of chemical compounds onto the functional pocket of the target receptor so as to discover novel classes of ligands. However, the overall success rate remains low and screening a large library is computationally intensive. An alternative to this "ab initio" approach is virtual screening by binding homology search. In this approach, potential ligands are predicted based on similar interaction pairs (similarity in receptors and ligands). SPOT-Ligand is an approach that integrates ligand similarity by Tanimoto coefficient and receptor similarity by protein structure alignment program SPalign. The method was found to yield a consistent performance in DUD and DUD-E docking benchmarks even if model structures were employed. It improves over docking methods (DOCK6 and AUTODOCK Vina) and has a performance comparable to or better than other binding-homology methods (FINDsite and PoLi) with higher computational efficiency. The server is available at http://sparks-lab.org.
© 2016 Wiley Periodicals, Inc. © 2016 Wiley Periodicals, Inc.

Entities:  

Keywords:  ligand similarity; structural similarity; structure-based drug discovery; virtual screening

Mesh:

Substances:

Year:  2016        PMID: 27074979     DOI: 10.1002/jcc.24380

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


  3 in total

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Authors:  Michal Brylinski; Misagh Naderi; Rajiv Gandhi Govindaraj; Jeffrey Lemoine
Journal:  J Mol Biol       Date:  2017-12-10       Impact factor: 5.469

2.  DLIGAND2: an improved knowledge-based energy function for protein-ligand interactions using the distance-scaled, finite, ideal-gas reference state.

Authors:  Pin Chen; Yaobin Ke; Yutong Lu; Yunfei Du; Jiahui Li; Hui Yan; Huiying Zhao; Yaoqi Zhou; Yuedong Yang
Journal:  J Cheminform       Date:  2019-08-07       Impact factor: 5.514

3.  ZZS similarity tool: The online tool for similarity screening to identify chemicals of potential concern.

Authors:  Pim N H Wassenaar; Emiel Rorije; Martina G Vijver; Willie J G M Peijnenburg
Journal:  J Comput Chem       Date:  2022-04-11       Impact factor: 3.672

  3 in total

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