Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/12910
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dc.contributor.authorKoirala, Sumanen_US
dc.contributor.authorSamanta, Sunandaen_US
dc.contributor.authorMahapatra, Subhasmitaen_US
dc.contributor.authorUrsal, Kapil Dattatrayen_US
dc.contributor.authorPoddar, Sayanen_US
dc.contributor.authorKar, Parimalen_US
dc.date.accessioned2023-12-22T09:18:55Z-
dc.date.available2023-12-22T09:18:55Z-
dc.date.issued2023-
dc.identifier.citationSofi, M. S., Rautela, K. S., Muslim, M., Bhat, S. U., Rashid, I., & Kuniyal, J. C. (2023). Correction to: Modeling the hydrological response of a snow‑fed river in the Kashmir Himalayas through SWAT and Artificial Neural Network (International Journal of Environmental Science and Technology, (2023), 10.1007/s13762-023-05170-7). International Journal of Environmental Science and Technology. Scopus. https://doi.org/10.1007/s13762-023-05221-zen_US
dc.identifier.issn0739-1102-
dc.identifier.otherEID(2-s2.0-85175729045)-
dc.identifier.urihttps://doi.org/10.1080/07391102.2023.2274982-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/12910-
dc.description.abstractThe need for more advanced and effective monkeypox (Mpox) treatments has become evident with numerous Mpox virus (MPXV) outbreaks. Over the years, interest has increased in developing targeted medicines that are efficient, safe, and precise while avoiding adverse effects. Here, we screened 32409 compounds against thymidylate kinase (TMPK), an emerging target for Mpox treatment. We studied their pharmacological characteristics and analyzed those through all-atom molecular dynamics simulations followed by molecular mechanics Poisson Boltzmann surface area (MM-PBSA) based free energy calculations. According to our findings, the leads CID40777874 and CID28960001 had the highest binding affinities towards TMPK with ΔG bind of −8.04 and −5.58 kcal/mol, respectively, which outperformed our control drug cidofovir (ΔG bind = −2.92 kcal/mol) in terms of binding favourability. Additionally, we observed crucial TMPK dynamics brought on by ligand-binding and identified key residues such as Phe68 and Tyr101 as the critical points of the protein-ligand interaction. The DCCM analysis revealed the role of ligand binding in stabilizing TMPK’s binding region, as indicated by residual correlation motions. Moreover, the PSN analysis revealed that the interaction with ligand induces changes in residual network properties, enhancing the stability of complexes. We successfully identified novel compounds that may serve as potential building blocks for constructing contemporary antivirals against MPXV and highlighted the molecular mechanisms underlying their binding with TMPK. Overall, our findings will play a significant role in advancing the development of new therapies against Mpox and facilitating a comprehensive understanding of their interaction patterns. Communicated by Ramaswamy H. Sarma. © 2023 Informa UK Limited, trading as Taylor & Francis Group.en_US
dc.language.isoenen_US
dc.publisherTaylor and Francis Ltd.en_US
dc.sourceJournal of Biomolecular Structure and Dynamicsen_US
dc.subjectMM-PBSAen_US
dc.subjectmolecular dynamicsen_US
dc.subjectMonkeypoxen_US
dc.subjectthymidylate kinaseen_US
dc.subjectvirtual screeningen_US
dc.titleMolecular level investigation for identifying potential inhibitors against thymidylate kinase of monkeypox through in silico approachesen_US
dc.typeJournal Articleen_US
Appears in Collections:Department of Biosciences and Biomedical Engineering

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