Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Structure-based identification of potential inhibitors of ribosomal protein S6 kinase 1, targeting cancer therapy: a combined docking and molecular dynamics simulations approach

Full metadata record
DC Field Value Language
dc.contributor.authorAlam, Afsar-
dc.contributor.authorKhan, Mohammad Shahzeb-
dc.contributor.authorMathur, Yash-
dc.contributor.authorSulaimani, Md Nayab-
dc.contributor.authorFarooqui, Naqiya-
dc.contributor.authorAhmad, Sheikh F. F.-
dc.contributor.authorNadeem, Ahmed-
dc.contributor.authorYadav, Dharmendra Kumar-
dc.contributor.authorMohammad, Taj-
dc.date.accessioned2024-06-29T11:00:19Z-
dc.date.available2024-06-29T11:00:19Z-
dc.date.issued2024-07-
dc.identifier.issn0739-1102-
dc.identifier.issn1538-0254-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/91681-
dc.description.abstractRibosomal protein S6 kinase 1 (S6K1), commonly known as P70-S6 kinase 1 (p70S6), is a key protein kinase involved in cellular signaling pathways that regulate cell growth, proliferation, and metabolism. Its significant role is reported in the PIK3/mTOR signaling pathway and is associated with various complex diseases, including diabetes, obesity, and different types of cancer. Due to its involvement in various physiological and pathological conditions, S6K1 is considered as an attractive target for drug design and discovery. One way to target S6K1 is by developing small molecule inhibitors that specifically bind to its ATP-binding site, preventing its activation and thus inhibiting downstream signaling pathways necessary for cell growth and survival. In this study, we have conducted a multitier virtual screening of a pool of natural compounds to identify potential S6K1 inhibitors. We performed molecular docking on IMPPAT 2.0 library and selected top hits based on their binding affinity, ligand efficiency, and specificity towards S6K1. The selected hits were further assessed based on different filters of drug-likeliness where two compounds (Hecogenin and Glabrene) were identified as potential leads for S6K1 inhibition. Both compounds showed appreciable affinity, ligand efficiency and specificity towards S6K1 binding pocket, drug-like properties, and stable protein-ligand complexes in molecular dynamics (MD) simulations. Finally, our study has suggested that Hecogenin and Glabrene can be potential S6K1 inhibitors which are presumably implicated in the therapeutic management of associated diseases such as diabetes, obesity, and varying types of cancer.Communicated by Ramaswamy H. Sarma-
dc.format.extent12-
dc.language영어-
dc.language.isoENG-
dc.publisherTAYLOR & FRANCIS INC-
dc.titleStructure-based identification of potential inhibitors of ribosomal protein S6 kinase 1, targeting cancer therapy: a combined docking and molecular dynamics simulations approach-
dc.typeArticle-
dc.identifier.wosid001015512600001-
dc.identifier.doi10.1080/07391102.2023.2228912-
dc.identifier.bibliographicCitationJOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, v.42, no.11, pp 5758 - 5769-
dc.description.isOpenAccessN-
dc.identifier.scopusid2-s2.0-85163630113-
dc.citation.endPage5769-
dc.citation.startPage5758-
dc.citation.titleJOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS-
dc.citation.volume42-
dc.citation.number11-
dc.type.docTypeArticle-
dc.publisher.location미국-
dc.subject.keywordAuthorRibosomal protein S6 kinase 1-
dc.subject.keywordAuthornatural compounds-
dc.subject.keywordAuthordrug discovery-
dc.subject.keywordAuthormolecular dynamics simulation-
dc.subject.keywordAuthoranticancer therapy-
dc.subject.keywordPlusMAMMALIAN TARGET-
dc.subject.keywordPlusMTOR-
dc.subject.keywordPlusHECOGENIN-
dc.subject.keywordPlusOPTIMIZATION-
dc.subject.keywordPlusINTEGRATION-
dc.subject.keywordPlusSOLUBILITY-
dc.subject.keywordPlusMETABOLISM-
dc.subject.keywordPlusMECHANISM-
dc.subject.keywordPlusDISCOVERY-
dc.subject.keywordPlusFAMILY-
dc.relation.journalResearchAreaBiochemistry & Molecular Biology-
dc.relation.journalResearchAreaBiophysics-
dc.relation.journalWebOfScienceCategoryBiochemistry & Molecular Biology-
dc.relation.journalWebOfScienceCategoryBiophysics-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
Files in This Item
There are no files associated with this item.
Appears in
Collections
ETC > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Yadav, Dharmendra Kumar photo

Yadav, Dharmendra Kumar
Pharmacy (Department of Biologics)
Read more

Altmetrics

Total Views & Downloads

BROWSE