Εμφάνιση απλής εγγραφής

dc.creatorMelagraki G., Ntougkos E., Rinotas V., Papaneophytou C., Leonis G., Mavromoustakos T., Kontopidis G., Douni E., Afantitis A., Kollias G.en
dc.date.accessioned2023-01-31T08:58:39Z
dc.date.available2023-01-31T08:58:39Z
dc.date.issued2017
dc.identifier10.1371/journal.pcbi.1005372
dc.identifier.issn1553734X
dc.identifier.urihttp://hdl.handle.net/11615/76493
dc.description.abstractWe present an in silico drug discovery pipeline developed and applied for the identification and virtual screening of small-molecule Protein-Protein Interaction (PPI) compounds that act as dual inhibitors of TNF and RANKL through the trimerization interface. The cheminformatics part of the pipeline was developed by combining structure–based with ligand–based modeling using the largest available set of known TNF inhibitors in the literature (2481 small molecules). To facilitate virtual screening, the consensus predictive model was made freely available at: http://enalos.insilicotox.com/TNFPubChem/. We thus generated a priority list of nine small molecules as candidates for direct TNF function inhibition. In vitro evaluation of these compounds led to the selection of two small molecules that act as potent direct inhibitors of TNF function, with IC50values comparable to those of a previously-described direct inhibitor (SPD304), but with significantly reduced toxicity. These molecules were also identified as RANKL inhibitors and validated in vitro with respect to this second functionality. Direct binding of the two compounds was confirmed both for TNF and RANKL, as well as their ability to inhibit the biologically-active trimer forms. Molecular dynamics calculations were also carried out for the two small molecules in each protein to offer additional insight into the interactions that govern TNF and RANKL complex formation. To our knowledge, these compounds, namely T8 and T23, constitute the second and third published examples of dual small-molecule direct function inhibitors of TNF and RANKL, and could serve as lead compounds for the development of novel treatments for inflammatory and autoimmune diseases. © 2017 Melagraki et al.en
dc.language.isoenen
dc.sourcePLoS Computational Biologyen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85018250574&doi=10.1371%2fjournal.pcbi.1005372&partnerID=40&md5=3fb09db7d45fa6d383d7a0c2e04fe244
dc.subjectDiagnosisen
dc.subjectLead compoundsen
dc.subjectMolecular dynamicsen
dc.subjectMoleculesen
dc.subjectPipelinesen
dc.subjectProteinsen
dc.subjectCheminformaticsen
dc.subjectDrug discoveryen
dc.subjectDual inhibitorsen
dc.subjectIn-silicoen
dc.subjectProtein-protein interactionsen
dc.subjectReceptor activatoren
dc.subjectSmall moleculesen
dc.subjectTrimerizationen
dc.subjectTumor necrosis factorsen
dc.subjectVirtual Screeningen
dc.subjectLigandsen
dc.subjectdactinomycinen
dc.subjectosteoclast differentiation factoren
dc.subjectspd 304en
dc.subjecttumor necrosis factoren
dc.subjecttumor necrosis factor inhibitoren
dc.subjectunclassified drugen
dc.subjectantiinflammatory agenten
dc.subjectliganden
dc.subjectosteoclast differentiation factoren
dc.subjecttumor necrosis factoren
dc.subjectalgorithmen
dc.subjectArticleen
dc.subjectautoimmune diseaseen
dc.subjectbinding affinityen
dc.subjectcalculationen
dc.subjectcell viability assayen
dc.subjectclinical evaluationen
dc.subjectcluster analysisen
dc.subjectcomparative studyen
dc.subjectcomputer modelen
dc.subjectconceptual frameworken
dc.subjectcontrolled studyen
dc.subjectcrystal structureen
dc.subjectcytotoxicityen
dc.subjectDNA bindingen
dc.subjectenzyme activityen
dc.subjectenzyme linked immunosorbent assayen
dc.subjectfuzzy systemen
dc.subjecthumanen
dc.subjecthuman cellen
dc.subjectIC50en
dc.subjectin vitro studyen
dc.subjectinflammationen
dc.subjectinformation scienceen
dc.subjectk nearest neighboren
dc.subjectknowledgeen
dc.subjectmolecular dockingen
dc.subjectmolecular dynamicsen
dc.subjectmolecular libraryen
dc.subjectprotein protein interactionen
dc.subjectsensitivity and specificityen
dc.subjectsequence alignmenten
dc.subjectsequence homologyen
dc.subjectspectrophotometryen
dc.subjecttrainingen
dc.subjectvalidation processen
dc.subjectanimalen
dc.subjectantagonists and inhibitorsen
dc.subjectbone marrow cellen
dc.subjectcell cultureen
dc.subjectcell lineen
dc.subjectcell survivalen
dc.subjectcomputer simulationen
dc.subjectdrug developmenten
dc.subjectdrug effectsen
dc.subjectmetabolismen
dc.subjectmouseen
dc.subjectproceduresen
dc.subjectprotein domainen
dc.subjectAnimalsen
dc.subjectAnti-Inflammatory Agentsen
dc.subjectBone Marrow Cellsen
dc.subjectCell Lineen
dc.subjectCell Survivalen
dc.subjectCells, Cultureden
dc.subjectComputer Simulationen
dc.subjectDrug Discoveryen
dc.subjectHumansen
dc.subjectLigandsen
dc.subjectMiceen
dc.subjectProtein Interaction Domains and Motifsen
dc.subjectRANK Liganden
dc.subjectTumor Necrosis Factor-alphaen
dc.subjectPublic Library of Scienceen
dc.titleCheminformatics-aided discovery of small-molecule Protein-Protein Interaction (PPI) dual inhibitors of Tumor Necrosis Factor (TNF) and Receptor Activator of NF-κB Ligand (RANKL)en
dc.typejournalArticleen


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