Benzothiazole derivatives as p53-MDM2 inhibitors: in-silico design, ADMET predictions, molecular docking, MM-GBSA Assay, MD simulations studies

dc.contributor.authorShridhar Deshpande, N.
dc.contributor.authorNaik, S.
dc.contributor.authorUdayakumar, U.
dc.contributor.authorGhate, S.D.
dc.contributor.authorDixit, S.R.
dc.contributor.authorAwasthi, A.
dc.contributor.authorRevanasiddappa, B.C.
dc.date.accessioned2026-02-03T13:20:30Z
dc.date.issued2025
dc.description.abstractBreast cancer stands as the most prevalent malignancy among the female populace. One of the pivotal domains in the therapeutic landscape of breast cancer revolves around the precise targeting of the p53-MDM2 inhibitory pathway. The advent of p53-MDM2 inhibition in the context of developing treatments for breast cancer marks a significant stride. In the quest for enhancing the efficacy of p53-MDM2 inhibition against breast cancer, a new series of benzothiazole compounds (B1-B30) was designed through in-silico methodologies in the present work. Using Schrodinger Maestro, the compounds underwent molecular docking assessments against the p53-MDM2 target (PDB: 4OGT). Compared to reference compounds, B25 and B12 exhibited notably elevated glide scores. Extensive in-silico studies, including ADMET and toxicity evaluations, were performed to predict pharmacokinetics, drug likeness, and toxicity. All compounds adhered to Lipinski criteria, signifying favorable oral drug properties. The MM-GBSA analysis indicated consistent binding free energies. Molecular dynamics simulations for B25 over 200 ns assessed complex stability and interactions. In summary, these compounds exhibit potential for future cancer therapy medication development. © 2023 Informa UK Limited, trading as Taylor & Francis Group.
dc.identifier.citationJournal of Biomolecular Structure and Dynamics, 2025, 43, 6, pp. 2993-3004
dc.identifier.issn7391102
dc.identifier.urihttps://doi.org/10.1080/07391102.2023.2294836
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/20557
dc.publisherTaylor and Francis Ltd.
dc.subjectbenzothiazole derivative
dc.subjectmouse double minute 2 homolog
dc.subjectprotein p53
dc.subjectantineoplastic agent
dc.subjectMDM2 protein, human
dc.subjectprotein binding
dc.subjectArticle
dc.subjectbreast cancer
dc.subjectcancer therapy
dc.subjectcomputer model
dc.subjectcytotoxicity
dc.subjectfemale
dc.subjecthuman
dc.subjecthydrogen bond
dc.subjecthydrophobicity
dc.subjectmolecular docking
dc.subjectmolecular dynamics
dc.subjectmolecular mechanics-generalized born surface area assay
dc.subjectmolecular weight
dc.subjectprediction
dc.subjectprotein expression
dc.subjectprotein structure
dc.subjectprotocol
dc.subjectroot mean squared error
dc.subjecttoxicity
dc.subjecttoxicity testing
dc.subjectbinding site
dc.subjectchemistry
dc.subjectdrug design
dc.subjectmetabolism
dc.subjectstructure activity relation
dc.subjectAntineoplastic Agents
dc.subjectBenzothiazoles
dc.subjectBinding Sites
dc.subjectDrug Design
dc.subjectFemale
dc.subjectHumans
dc.subjectMolecular Docking Simulation
dc.subjectMolecular Dynamics Simulation
dc.subjectProtein Binding
dc.subjectProto-Oncogene Proteins c-mdm2
dc.subjectStructure-Activity Relationship
dc.subjectTumor Suppressor Protein p53
dc.titleBenzothiazole derivatives as p53-MDM2 inhibitors: in-silico design, ADMET predictions, molecular docking, MM-GBSA Assay, MD simulations studies

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