Logo do repositório

The Virtual Screening of Compounds from the ZINC Database against PARP-1 in Triple-Negative Breast Cancer

dc.contributor.authorPriyankha, Sridhar
dc.contributor.authorPolk, Shahrazad
dc.contributor.authorThilagavathi, Ramasamy
dc.contributor.authorPrakash, Muthuramalingam
dc.contributor.authorKathiravan, M. K.
dc.contributor.authorLakshmana Prabhu, Sakthivel
dc.contributor.authorBrunozi de Oliveira, Isabela [UNESP]
dc.contributor.authorSelvam, Chelliah
dc.contributor.institutionSRM Institute of Science and Technology
dc.contributor.institutionTexas Southern University
dc.contributor.institutionIndia & Ennam College of Pharmacy
dc.contributor.institutionSRM College of Pharmacy
dc.contributor.institutionAnna University
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2025-04-29T18:42:52Z
dc.date.issued2024-03-11
dc.description.abstractTriple-negative breast cancer (TNBC) is the most aggressive kind of breast cancer that has disseminated worldwide, decimating millions of people. Especially, since it is capable of forming complex mutations, the design and development of effective drugs are much needed. Clinically, though talazoparib is an FDA-approved drug for PARP against advanced breast cancer, it has several adverse side effects such as anaemia, alopecia, neutropenia and thrombocytopenia. Herein, to understand the molecular interactions and mode of binding, 4.59 million lead-like compounds from the ZINC database were virtually screened against poly(ADP-ribose) polymerase-1 (PARP-1) protein using molecular docking. ADMET analysis were also performed for these compounds. Molecular dynamics (MD) simulations were conducted for a period of 100 ns for the best five compounds to validate the stability of the complexes. Root-mean-square deviation (RMSD), root-mean-square fluctuation (RMSF), and the radius of gyration (Rg) were analyzed and the number of hydrogen bonding interactions was identified to determine the structure and stability of these protein-ligand complexes. Further, binding free energy calculations were performed using the molecular mechanics-Poisson-Boltzmann surface area (MM/PBSA) approach to identify the effective anticancer agents. Z02, Z03, and Z04 have the highest binding affinity of −19.6, −18.1, and −18.1 kcal/mol, respectively, with PARP-1. They also have been found to strongly enhance the stability of the target. All things considered; we determine that compound Z04 is the most promising hit for TNBC.en
dc.description.affiliationDepartment of Chemistry SRM Institute of Science and Technology, Tamil Nadu, Chengalpattu District
dc.description.affiliationDepartment of Pharmaceutical Sciences Joan M. Lafleur College of Pharmacy and Health Sciences Texas Southern University, TX
dc.description.affiliationDepartment of Biotechnology Faculty of Engineering Karpagam Academy of Higher Education Coimbatore India & Ennam College of Pharmacy
dc.description.affiliationDepartment of Pharmaceutical Chemistry SRM College of Pharmacy, Chengalpattu District
dc.description.affiliationDepartment of Pharmaceutical Technology University College of Engineering (BIT Campus) Anna University
dc.description.affiliationDepartment of Physics Biosciences Languages and Exact Sciences Institute Sao Paulo State University Sao Jose do Rio Preto, SP
dc.description.affiliationUnespDepartment of Physics Biosciences Languages and Exact Sciences Institute Sao Paulo State University Sao Jose do Rio Preto, SP
dc.description.sponsorshipSRM Institute of Science and Technology
dc.identifierhttp://dx.doi.org/10.1002/slct.202304729
dc.identifier.citationChemistrySelect, v. 9, n. 10, 2024.
dc.identifier.doi10.1002/slct.202304729
dc.identifier.issn2365-6549
dc.identifier.scopus2-s2.0-85186883603
dc.identifier.urihttps://hdl.handle.net/11449/299587
dc.language.isoeng
dc.relation.ispartofChemistrySelect
dc.sourceScopus
dc.subjectMolecular dynamics simulations
dc.subjectMolecular mechanics-Poisson-Boltzmann surface area
dc.subjectPARP inhibitors
dc.subjectPoly(ADP-ribose) polymerase
dc.subjectTriple-negative breast cancer
dc.titleThe Virtual Screening of Compounds from the ZINC Database against PARP-1 in Triple-Negative Breast Canceren
dc.typeArtigopt
dspace.entity.typePublication
unesp.author.orcid0000-0002-4052-7611[1]
unesp.author.orcid0000-0002-8568-3669[3]
unesp.author.orcid0000-0002-1886-7708[4]
unesp.author.orcid0000-0002-6488-6694[6]
unesp.author.orcid0000-0001-7798-1810[7]
unesp.author.orcid0000-0003-1394-9349[8]
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Biociências, Letras e Ciências Exatas, São José do Rio Pretopt

Arquivos