Publication:
DiPPI: a curated data set for drug-like molecules in protein-protein interfaces

dc.contributor.departmentDepartment of Computer Engineering;Department of Chemical and Biological Engineering
dc.contributor.kuauthorCankara, Fatma
dc.contributor.kuauthorŞenyüz, Simge
dc.contributor.kuauthorSayın, Ahenk Zeynep
dc.contributor.kuauthorGürsoy, Attila
dc.contributor.kuauthorKeskin, Özlem
dc.contributor.schoolcollegeinstituteGraduate School of Sciences and Engineering
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.date.accessioned2024-12-29T09:38:17Z
dc.date.issued2024
dc.description.abstractProteins interact through their interfaces, and dysfunction of protein-protein interactions (PPIs) has been associated with various diseases. Therefore, investigating the properties of the drug-modulated PPIs and interface-targeting drugs is critical. Here, we present a curated large data set for drug-like molecules in protein interfaces. We further introduce DiPPI (Drugs in Protein-Protein Interfaces), a two-module web site to facilitate the search for such molecules and their properties by exploiting our data set in drug repurposing studies. In the interface module of the web site, we present several properties, of interfaces, such as amino acid properties, hotspots, evolutionary conservation of drug-binding amino acids, and post-translational modifications of these residues. On the drug-like molecule side, we list drug-like small molecules and FDA-approved drugs from various databases and highlight those that bind to the interfaces. We further clustered the drugs based on their molecular fingerprints to confine the search for an alternative drug to a smaller space. Drug properties, including Lipinski's rules and various molecular descriptors, are also calculated and made available on the web site to guide the selection of drug molecules. Our data set contains 534,203 interfaces for 98,632 protein structures, of which 55,135 are detected to bind to a drug-like molecule. 2214 drug-like molecules are deposited on our web site, among which 335 are FDA-approved. DiPPI provides users with an easy-to-follow scheme for drug repurposing studies through its well-curated and clustered interface and drug data and is freely available at http://interactome.ku.edu.tr:8501.
dc.description.indexedbyWoS
dc.description.indexedbyScopus
dc.description.indexedbyPubMed
dc.description.issue13
dc.description.openaccessGreen Submitted
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuTÜBİTAK
dc.description.sponsorsThis project has been partially funded by TUSEB 4448/4081 and TUBITAK 120C120 projects.
dc.description.volume64
dc.identifier.doi10.1021/acs.jcim.3c01905
dc.identifier.eissn1549-960X
dc.identifier.issn1549-9596
dc.identifier.quartileQ1
dc.identifier.scopus2-s2.0-85196973246
dc.identifier.urihttps://doi.org/10.1021/acs.jcim.3c01905
dc.identifier.urihttps://hdl.handle.net/20.500.14288/22647
dc.identifier.wos1252880500001
dc.keywordsCluster chemistry
dc.keywordsInterfaces
dc.keywordsMolecules
dc.keywordsPharmaceuticals
dc.keywordsSmall molecules
dc.languageen
dc.publisherAmer Chemical Soc
dc.sourceJournal of Chemical Information and Modeling
dc.subjectPharmacology and pharmacy
dc.subjectChemistry
dc.subjectComputer science
dc.subjectInformation systems
dc.titleDiPPI: a curated data set for drug-like molecules in protein-protein interfaces
dc.typeJournal article
dspace.entity.typePublication
local.contributor.kuauthorCankara, Fatma
local.contributor.kuauthorŞenyüz, Simge
local.contributor.kuauthorSayın, Ahenk Zeynep
local.contributor.kuauthorGürsoy, Attila
local.contributor.kuauthorKeskin, Özlem

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