Publication:
Conformational ensembles, signal transduction and residue hot spots: application to drug discovery

dc.contributor.coauthorNussinov, Ruth
dc.contributor.departmentDepartment of Computer Engineering
dc.contributor.departmentDepartment of Chemical and Biological Engineering
dc.contributor.departmentCCBB (The Center for Computational Biology and Bioinformatics)
dc.contributor.departmentGraduate School of Sciences and Engineering
dc.contributor.kuauthorGürsoy, Attila
dc.contributor.kuauthorKeskin, Özlem
dc.contributor.kuauthorÖzbabacan, Saliha Ece Acuner
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteGRADUATE SCHOOL OF SCIENCES AND ENGINEERING
dc.contributor.schoolcollegeinstituteResearch Center
dc.date.accessioned2024-11-09T23:45:19Z
dc.date.issued2010
dc.description.abstractA key step in drug development is the identification of both a protein target and its topological cellular network location and interactions, with regard to information flow in disease-causing events and to medication effects. Information flow involves a cascade of binding or covalent modification processes, with each step being affected by those that occur previously. Proteins are flexible, and information flows via dynamic changes in the distribution of conformational protein ensembles; molecular recognition is mainly determined by these changes. Drug discovery often focuses on signaling proteins situated at the crossroads of cellular networks; such signaling proteins have multiple partners that bind through shared binding sites. This review highlights these shared binding sites, and describes research to suggest that partners binding at these sites could at least partly interact via different energetically dominant 'hot-spot' residues. The data also indicate that, despite dynamic changes in the distribution of the conformational ensembles, the hot-spot conformations are retained in their pre-organized states.
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.indexedbyPubMed
dc.description.issue5
dc.description.openaccessNO
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuN/A
dc.description.sponsorshipTurkish Academy of Sciences
dc.description.sponsorshipScientific and Technological Research Council of Turkey [109T343, 109E207]
dc.description.sponsorshipNCI [HHSN261200800001E]
dc.description.sponsorshipNIH, NCI, Center for Cancer Research The authors' research is supported by a Turkish Academy of Sciences Distinguished Young Investigator Award (awarded to Ozlem Keskin)
dc.description.sponsorshipthe Scientific and Technological Research Council of Turkey Fellowship (awarded to Saliha Ece Acuner Ozbabacan
dc.description.sponsorshipGrant Numbers 109T343 and 109E207)
dc.description.sponsorshipFederal funds from the NCI, under contract number HHSN261200800001E
dc.description.sponsorshipand, in part, by the Intramural Research Program of the NIH, NCI, Center for Cancer Research.
dc.description.volume13
dc.identifier.eissn2040-3437
dc.identifier.issn1367-6733
dc.identifier.quartileQ1
dc.identifier.scopus2-s2.0-77956398004
dc.identifier.urihttps://hdl.handle.net/20.500.14288/13817
dc.identifier.wos281430700002
dc.keywordsAllosteric
dc.keywordsCellular pathway
dc.keywordsConformational selection
dc.keywordsDrug design
dc.keywordsDrug target
dc.keywordsMolecular recognition
dc.keywordsPharmacological research
dc.keywordsProtein dynamics
dc.keywordsProtein network
dc.keywordsSignaling
dc.keywordsProtein-protein interactions
dc.keywordsP53 tumor-suppressor
dc.keywordsNitric-oxide synthase
dc.keywordsNerve growth-factor
dc.keywordsSmall-molecule
dc.keywordsStructural basis
dc.keywordsBinding-site
dc.keywordsModular architecture
dc.keywordsConserved residues
dc.keywordsEnergy landscapes
dc.language.isoeng
dc.publisherThomson Reuters
dc.relation.ispartofCurrent Opinion in Drug Discovery and Development
dc.subjectPharmacology
dc.subjectPharmacy
dc.titleConformational ensembles, signal transduction and residue hot spots: application to drug discovery
dc.typeReview
dspace.entity.typePublication
local.contributor.kuauthorKeskin, Özlem
local.contributor.kuauthorGürsoy, Attila
local.contributor.kuauthorÖzbabacan, Saliha Ece Acuner
local.publication.orgunit1College of Engineering
local.publication.orgunit1GRADUATE SCHOOL OF SCIENCES AND ENGINEERING
local.publication.orgunit1Research Center
local.publication.orgunit2Department of Chemical and Biological Engineering
local.publication.orgunit2Department of Computer Engineering
local.publication.orgunit2CCBB (The Center for Computational Biology and Bioinformatics)
local.publication.orgunit2Graduate School of Sciences and Engineering
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