Identification of Potential Dual HDAC6 and HSP90 Inhibitors for the Treatment of Cancer Using Molecular Docking, Molecular Dynamics and MM/PBSA Studies: A Comprehensive In Silico Study

dc.contributor.author Yucel, Muhsin Samet
dc.contributor.author Akcok, Ismail
dc.date.accessioned 2026-05-21T10:30:05Z
dc.date.available 2026-05-21T10:30:05Z
dc.date.issued 2026
dc.description.abstract Background Histone deacetylase 6 (HDAC6) and heat shock protein 90 (Hsp90) are crucial therapeutic targets in cancer research with their interconnected roles in regulating protein homeostasis and cellular processes. The interaction of these proteins within the cytosolic complex plays a critical role in regulating cancer cell survival and progression. Notably, current studies highlight that the simultaneous inhibition of HDAC6 and Hsp90 can produce synergistic effects and offer a promising therapeutic potential for combating malignant cancers.Objective The objective of this study was to explore potential compounds that can inhibit both HDAC6 and Hsp90 proteins.Methods In this study, a number of in-silico computational techniques were employed. A total of 791 molecules, sharing at least 30% similarity with previously identified four HDAC inhibitors, were obtained from the ZINC15 database and subjected to docking on HDAC6 and Hsp90 proteins. The top eight ligands demonstrating the best binding scores against both targets, with panobinostat and ganetespib serving as reference compounds for HDAC6 and Hsp90, respectively, were selected for further analysis. Subsequently, ADME prediction and molecular dynamics simulations were conducted on the selected ligands.Results A detailed molecular docking, molecular dynamics simulations and ADME studies have revealed that ZINC27653366 exhibited the highest inhibitory potential against both Hsp90 and HDAC6 target proteins, making it the most promising inhibitor.Conclusion In conclusion, although additional in vitro and in vivo studies are required for the validation, in silico evaluation of ZINC27653366 may position it as a promising candidate for the treatment of different types of cancers.
dc.description.sponsorship Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, TUBITAK
dc.description.sponsorship The numerical calculations reported in this paper were partially performed at TUBITAK ULAKBIM, High Performance and Grid Computing Centre (TRUBA resources).
dc.identifier.doi 10.2174/0115734064388900250625121927
dc.identifier.issn 1573-4064
dc.identifier.issn 1875-6638
dc.identifier.scopus 2-s2.0-105036627140
dc.identifier.uri https://hdl.handle.net/20.500.12573/5951
dc.identifier.uri https://doi.org/10.2174/0115734064388900250625121927
dc.language.iso en
dc.publisher Bentham Science Publ Ltd
dc.relation.ispartof Medicinal Chemistry
dc.rights info:eu-repo/semantics/closedAccess
dc.subject HDAC6
dc.subject Molecular Docking
dc.subject HSP90
dc.subject Drug Discovery
dc.subject ADME
dc.subject Dual Inhibitor
dc.subject Cancer
dc.subject Molecular Dynamics
dc.title Identification of Potential Dual HDAC6 and HSP90 Inhibitors for the Treatment of Cancer Using Molecular Docking, Molecular Dynamics and MM/PBSA Studies: A Comprehensive In Silico Study
dc.type Article
dspace.entity.type Publication
gdc.author.scopusid 56705514600
gdc.author.scopusid 59941231900
gdc.author.wosid Akçok, İsmail/AAB-8953-2021
gdc.description.department Abdullah Gül University
gdc.description.departmenttemp [Yucel, Muhsin Samet] Abdullah Gul Univ, Grad Sch Engn & Sci, Bioengn Dept, Kayseri, Turkiye; [Akcok, Ismail] Abdullah Gul Univ, Fac Life & Nat Sci, Dept Bioengn, Kayseri, Turkiye
gdc.description.endpage 229
gdc.description.issue 2
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
gdc.description.startpage 212
gdc.description.volume 22
gdc.description.woscitationindex Science Citation Index Expanded
gdc.identifier.pmid 40626544
gdc.identifier.wos WOS:001742719800005
gdc.index.type PubMed
gdc.index.type WoS
gdc.index.type Scopus
relation.isAuthorOfPublication.latestForDiscovery d2867edf-1cc1-45d8-a46e-45569bbc0cd9
relation.isOrgUnitOfPublication.latestForDiscovery 5519c95e-5bcb-45e5-8ce1-a8b4bcf7c7b9

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