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

Author:

Priyankha Sridhar1ORCID,Polk Shahrazad2,Thilagavathi Ramasamy3ORCID,Prakash Muthuramalingam1ORCID,Kathiravan M. K.4,Lakshmana Prabhu Sakthivel5ORCID,Brunozi de Oliveira Isabela26ORCID,Selvam Chelliah2ORCID

Affiliation:

1. Department of Chemistry SRM Institute of Science and Technology Kattankulathur 603203, Chengalpattu District Tamil Nadu India

2. Department of Pharmaceutical Sciences Joan M. Lafleur College of Pharmacy and Health Sciences Texas Southern University Houston TX 77004 USA.

3. Department of Biotechnology Faculty of Engineering Karpagam Academy of Higher Education Coimbatore India & Ennam College of Pharmacy Coimbatore 641032 India

4. Department of Pharmaceutical Chemistry SRM College of Pharmacy Kattankulathur 603203 Chengalpattu District India

5. Department of Pharmaceutical Technology University College of Engineering (BIT Campus) Anna University Thiruchirappalli India

6. Department of Physics, Biosciences, Languages, and Exact Sciences Institute Sao Paulo State University, Sao Jose do Rio Preto SP 15054-000 Sao Paulo Brazil

Abstract

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.

Funder

SRM Institute of Science and Technology

Publisher

Wiley

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