Understanding the challenges of protein flexibility in drug design

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dc.citation.firstpage1301en_US
dc.citation.issueNumber12en_US
dc.citation.journalTitleExpert Opinion on Drug Discoveryen_US
dc.citation.lastpage1313en_US
dc.citation.volumeNumber10en_US
dc.contributor.authorAntunes, Dinler A.en_US
dc.contributor.authorDevaurs, Didieren_US
dc.contributor.authorKavraki, Lydia E.en_US
dc.date.accessioned2016-01-28T17:15:39Zen_US
dc.date.available2016-01-28T17:15:39Zen_US
dc.date.issued2015en_US
dc.description.abstractIntroduction: Protein–ligand interactions play key roles in various metabolic pathways, and the proteins involved in these interactions represent major targets for drug discovery. Molecular docking is widely used to predict the structure of protein–ligand complexes, and protein flexibility stands out as one of the most important and challenging issues for binding mode prediction. Various docking methods accounting for protein flexibility have been proposed, tackling problems of ever-increasing dimensionality. Areas covered: This paper presents an overview of conformational sampling methods treating target flexibility during molecular docking. Special attention is given to approaches considering full protein flexibility. Contrary to what is frequently done, this review does not rely on classical biomolecular recognition models to classify existing docking methods. Instead, it applies algorithmic considerations, focusing on the level of flexibility accounted for. This review also discusses the diversity of docking applications, from virtual screening (VS) of small drug-like compounds to geometry prediction (GP) of protein–peptide complexes. Expert opinion: Considering the diversity of docking methods presented here, deciding which one is the best at treating protein flexibility depends on the system under study and the research application. In VS experiments, ensemble docking can be used to implicitly account for large-scale conformational changes, and selective docking can additionally consider local binding-site rearrangements. In other cases, on-the-fly exploration of the whole protein–ligand complex might be needed for accurate GP of the binding mode. Among other things, future methods are expected to provide alternative binding modes, which will better reflect the dynamic nature of protein–ligand interactions.en_US
dc.identifier.citationAntunes, Dinler A., Devaurs, Didier and Kavraki, Lydia E.. "Understanding the challenges of protein flexibility in drug design." <i>Expert Opinion on Drug Discovery,</i> 10, no. 12 (2015) Taylor & Francis: 1301-1313. http://dx.doi.org/10.1517/17460441.2015.1094458.en_US
dc.identifier.doihttp://dx.doi.org/10.1517/17460441.2015.1094458en_US
dc.identifier.urihttps://hdl.handle.net/1911/88215en_US
dc.language.isoengen_US
dc.publisherTaylor & Francisen_US
dc.rightsThis is an author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyrighted by Taylor & Francis.en_US
dc.subject.keywordmolecular dockingen_US
dc.subject.keywordconformational samplingen_US
dc.subject.keywordprotein flexibilityen_US
dc.subject.keywordgeometry predictionen_US
dc.subject.keywordvirtual screeningen_US
dc.titleUnderstanding the challenges of protein flexibility in drug designen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpost-printen_US
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