Publication:
Allostery and population shift in drug discovery

dc.contributor.coauthorNussinov, Ruth
dc.contributor.departmentDepartment of Chemical and Biological Engineering
dc.contributor.departmentDepartment of Computer Engineering
dc.contributor.departmentN/A
dc.contributor.kuauthorKeskin, Özlem
dc.contributor.kuauthorGürsoy, Attila
dc.contributor.kuauthorMakinacı, Gözde Kar
dc.contributor.kuprofileFaculty Member
dc.contributor.kuprofileFaculty Member
dc.contributor.kuprofilePhD Student
dc.contributor.otherDepartment of Chemical and Biological Engineering
dc.contributor.otherDepartment of Computer Engineering
dc.contributor.researchcenterThe Center for Computational Biology and Bioinformatics (CCBB)
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteGraduate School of Sciences and Engineering
dc.contributor.yokid26605
dc.contributor.yokid8745
dc.contributor.yokidN/A
dc.date.accessioned2024-11-09T23:22:34Z
dc.date.issued2010
dc.description.abstractProteins can exist in a large number of conformations around their native states that can be characterized by an energy landscape. The landscape illustrates individual valleys, which are the conformational substates. From the functional standpoint, there are two key points: first, all functionally relevant substates pre-exist; and second, the landscape is dynamic and the relative populations of the substates will change following allosteric events. Allosteric events perturb the structure, and the energetic strain propagates and shifts the population. This can lead to changes in the shapes and properties of target binding sites. Here we present an overview of dynamic conformational ensembles focusing on allosteric events in signaling. We propose that combining equilibrium fluctuation concepts with genomic screens could help drug discovery.
dc.description.indexedbyWoS
dc.description.indexedbyScopus
dc.description.indexedbyPubMed
dc.description.issue6
dc.description.openaccessYES
dc.description.publisherscopeInternational
dc.description.sponsorshipTUBITAK[109T343, 109E207]
dc.description.sponsorshipNational Cancer Institute National Institutes of Health [HHSN261200800001E]
dc.description.sponsorshipNIH National Cancer Institute Center for Cancer Research This work has been supported by TUBITAK(Research Grant Numbers 109T343 and 109E207) This project has been funded in whole or partly with Federal funds from the National Cancer Institute National Institutes of Health under contract number HHSN261200800001E The content of this publication does not necessarily reflect the views or policies of the Department of Health and Human Services nor does mention of trade names commercial products or organizations Imply endorsement by the U S Government This research was supported (partly) by the Intramural Research Program of the NIH National Cancer Institute Center for Cancer Research
dc.description.volume10
dc.identifier.doi10.1016/j.coph.2010.09.002
dc.identifier.eissn1471-4973
dc.identifier.issn1471-4892
dc.identifier.quartileQ1
dc.identifier.scopus2-s2.0-78149473070
dc.identifier.urihttp://dx.doi.org/10.1016/j.coph.2010.09.002
dc.identifier.urihttps://hdl.handle.net/20.500.14288/11079
dc.identifier.wos284749400017
dc.keywordsBinding cascades
dc.keywordsProteins
dc.keywordsDynamics
dc.keywordsMechanism
dc.keywordsSwitch
dc.keywordsConformation
dc.keywordsModulation
dc.keywordsLandscapes
dc.keywordsSelection
dc.keywordsImatinib
dc.languageEnglish
dc.publisherElsevier
dc.sourceCurrent Opinion in Pharmacology
dc.subjectPharmacology
dc.subjectPharmacy
dc.titleAllostery and population shift in drug discovery
dc.typeJournal Article
dspace.entity.typePublication
local.contributor.authorid0000-0002-4202-4049
local.contributor.authorid0000-0002-2297-2113
local.contributor.authoridN/A
local.contributor.kuauthorKeskin, Özlem
local.contributor.kuauthorGürsoy, Attila
local.contributor.kuauthorMakinacı, Gözde Kar
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relation.isOrgUnitOfPublication89352e43-bf09-4ef4-82f6-6f9d0174ebae
relation.isOrgUnitOfPublication.latestForDiscovery89352e43-bf09-4ef4-82f6-6f9d0174ebae

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