Computational modeling of potential milciclib derivatives inhibitor-CDK2 binding through global docking and accelerated molecular dynamics simulations

bracu.type.groupResearch Publications
datacite.rightsOpen Access
dc.contributor.authorKhanam M.
dc.contributor.authorMoin A.T.
dc.contributor.authorAhmed K.A.
dc.contributor.authorPatil R.B.
dc.contributor.authorRipon Khalipha A.B.
dc.contributor.authorAhmed, Nafisa
dc.contributor.authorBagchi R.
dc.contributor.authorUllah M.A.
dc.contributor.authorFerdoush J.
dc.contributor.authorIslam S.
dc.contributor.authorRudra B.
dc.contributor.departmentDepartment of Mathematics and Natural Sciences
dc.date.accessioned2026-09-16T08:48:08Z
dc.date.available2026-09-16T08:48:08Z
dc.date.issued2022-01-01
dc.description.abstractHepatocellular carcinoma (HCC) is the most common malignant condition of the liver that occurs as a result of uncontrolled cellular proliferation after a series of disruptions at cell cycle regulatory checkpoints in the normal cell. Due to the lack of appropriate therapeutics or remedial treatment methods, new treatment strategies against HCC need to be developed. Cyclin dependent kinases (CDKs) are required to control the cell cycle and apoptosis, but their overexpressionis critical in the progression of cancer and is often expressed in HCC. Thus, CDKs are considered a promising class of target-defined therapy for HCC. Milciclib is a potential candidate for HCC which exhibits inhibitory activity against CDK2 leading to cell cycle arrest and apoptosis of tumor cells. Herein, we have halogenated the parent drug milciclib to improve its efficacy against CDK2. The primary structure of milciclib (D) was modified with F, Cl and,CF3 groups. The frontier molecular orbital features, binding affinity, non-bonded interaction and the pharmacokinetic parameters were analyzed for milciclib and its derivatives. We also performed molecular docking and extended molecular dynamics simulation studies to study the binding interactions and binding affinity more closely. Our computational investigation showed the derivatives D-F and D-CF3 have significant chemical reactivity, the best binding affinity, nonbonding interactions, and improved pharmacokinetic properties compared to the parent drug milciclib. Molecular dynamics analysis and MM-PBSA calculations indicated that D-Cl had a slightly more stable conformation and higher binding affinity compared to D-CF3.
dc.description.versionPublished
dc.format.extent13 pages
dc.identifier.citationMushira Khanam, Abu Tayab Moin, Kazi Ahsan Ahmed, Rajesh B. Patil, Abul Bashar Ripon Khalipha, Nafisa Ahmed, Rajat Bagchi, Md Asad Ullah, Jannatul Ferdoush, Saiful Islam, Bashudev Rudra, Computational modeling of potential milciclib derivatives inhibitor-CDK2 binding through global docking and accelerated molecular dynamics simulations, Informatics in Medicine Unlocked, Volume 33, 2022, 101069, ISSN 2352-9148, https://doi.org/10.1016/j.imu.2022.101069.
dc.identifier.doi10.1016/j.imu.2022.101069
dc.identifier.issn23529148
dc.identifier.other2-s2.0-85137624979
dc.identifier.urihttps://hdl.handle.net/10361/29998
dc.language.isoen_US
dc.publisherElsevier Ltd
dc.relation.hasversion10.1016/j.imu.2022.101069
dc.relation.ispartofInformatics in Medicine Unlocked
dc.relation.ispartofseriesInformatics in Medicine Unlocked
dc.relation.urihttps://www.sciencedirect.com/science/article/pii/S2352914822002052?pes=vor&utm_source=scopus&getft_integrator=scopus
dc.subjectAnticancer drug
dc.subjectHalogenated derivatives
dc.subjectHepatocellular carcinoma
dc.subjectMolecular docking
dc.subjectMolecular dynamics
dc.subjectNon-bond interactions
dc.subject.lcshAntineoplastic agents.
dc.subject.lcshDrug development.
dc.subject.lcshDrugs--Computer-aided design.
dc.subject.lcshMolecular dynamics.
dc.titleComputational modeling of potential milciclib derivatives inhibitor-CDK2 binding through global docking and accelerated molecular dynamics simulations
dc.typeArticle
oaire.citation.volume33
person.affiliation.nameGopalganj Science and Technology University
person.affiliation.nameUniversity of Chittagong
person.affiliation.nameBangladesh Agricultural University
person.affiliation.nameSinhgad College of Pharmacy
person.affiliation.nameGopalganj Science and Technology University
person.affiliation.nameBRAC University
person.affiliation.nameGopalganj Science and Technology University
person.affiliation.nameJahangirnagar University
person.affiliation.nameBGC Trust Medical College
person.affiliation.nameBangladesh Council of Scientific and industrial Research (BCSIR)
person.affiliation.nameUniversity of Chittagong
person.identifier.orcid0000-0001-5584-0910
person.identifier.scopus-author-id57221539704
person.identifier.scopus-author-id57218441548
person.identifier.scopus-author-id57221344265
person.identifier.scopus-author-id55192920700
person.identifier.scopus-author-id56115960400
person.identifier.scopus-author-id57222579848
person.identifier.scopus-author-id57204162187
person.identifier.scopus-author-id57216082465
person.identifier.scopus-author-id56271834000
person.identifier.scopus-author-id25723389300
person.identifier.scopus-author-id59199841300

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