| Literature DB >> 27620381 |
Yun Ding1, Ye Fang2, Juana Moreno3, J Ramanujam4, Mark Jarrell5, Michal Brylinski6.
Abstract
Structural and computational biologists often need to measure the similarity of ligand binding conformations. The commonly used root-mean-square deviation (RMSD) is not only ligand-size dependent, but also may fail to capture biologically meaningful binding features. To address these issues, we developed the Contact Mode Score (CMS), a new metric to assess the conformational similarity based on intermolecular protein-ligand contacts. The CMS is less dependent on the ligand size and has the ability to include flexible receptors. In order to effectively compare binding poses of non-identical ligands bound to different proteins, we further developed the eXtended Contact Mode Score (XCMS). We believe that CMS and XCMS provide a meaningful assessment of the similarity of ligand binding conformations. CMS and XCMS are freely available at http://brylinski.cct.lsu.edu/content/contact-mode-score and http://geaux-computational-bio.github.io/contact-mode-score/.Entities:
Keywords: CMS; Contact Mode Score; Ligand binding conformations; Molecular docking; RMSD; Root-mean-square deviation; XCMS; eXtended Contact Mode Score
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Year: 2016 PMID: 27620381 PMCID: PMC5159245 DOI: 10.1016/j.compbiolchem.2016.08.007
Source DB: PubMed Journal: Comput Biol Chem ISSN: 1476-9271 Impact factor: 2.877