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High throughput virtual screening and molecular dynamics simulation analysis of phytomolecules against BfmR of Acinetobacter baumannii: anti-virulent drug development campaign.
Lokhande, Kiran Bharat; Pawar, Sarika Vishnu; Madkaiker, Smriti; Nawani, Neelu; Venkateswara, Swamy K; Ghosh, Payel.
Afiliação
  • Lokhande KB; Dr. D. Y. Patil Vidyapeeth, Bioinformatics Research Laboratory, Dr. D. Y. Patil Biotechnology and Bioinformatics Institute, Pune, India.
  • Pawar SV; Dr. D. Y. Patil Vidyapeeth, Microbial Diversity Research Centre, Dr. D. Y. Patil Biotechnology and Bioinformatics Institute, Pune, India.
  • Madkaiker S; Dr. D. Y. Patil Vidyapeeth, Microbial Diversity Research Centre, Dr. D. Y. Patil Biotechnology and Bioinformatics Institute, Pune, India.
  • Nawani N; Dr. D. Y. Patil Vidyapeeth, Microbial Diversity Research Centre, Dr. D. Y. Patil Biotechnology and Bioinformatics Institute, Pune, India.
  • Venkateswara SK; Bioinformatics Research Group, MIT School of Bioengineering Sciences & Research, MIT-ADT University, Pune, Maharashtra, India.
  • Ghosh P; Bioinformatics Centre, Savitribai Phule Pune University, Pune, Maharashtra, India.
J Biomol Struct Dyn ; 41(7): 2698-2712, 2023 04.
Article em En | MEDLINE | ID: mdl-35156902
Acinetobacter baumannii is a notorious multidrug resistant bacterium responsible for several hospital acquired infections assisted by its capacity to develop biofilms. A. baumannii BfmR (RstA), a response regulator from the BfmR/S two-component signal transduction system, is the major controller of A. baumannii biofilm development and formation. As a result, BfmR represents a novel target for anti-biofilm treatment against A. baumannii. The discovery of the high-resolution crystal structure of BfmR provides a good chance for computational screening of its probable inhibitors. Therefore, in this study we aim to search new, less toxic, and natural BfmR inhibitors from 8450 phytomolecules available in the Indian Medicinal Plants, Phytochemistry and Therapeutic (IMPPAT) database by analyzing molecular docking against BfmR (PDB ID: 6BR7). Out of these 8450 phytomolecules 6742 molecules were successfully docked with BfmR with the docking score range -6.305 kcal/mol to +5.120 kcal/mol. Structure based-molecular docking (SB-MD) and ADMET (absorption, distribution, metabolism, excretion, & toxicity) profile examination revealed that Norepinephrine, Australine, Calystegine B3, 7,7 A-Diepialexine, and Alpha-Methylnoradrenaline phytocompounds strongly binds to the active site residues of BfmR. Furthermore, molecular dynamics simulation (MDS) studies for 100 ns and the binding free energy (MM/GBSA) analysis elucidated the binding mechanism of Calystegine B3, 7,7 A-Diepialexine, and Alpha-Methylnoradrenaline to BfmR. In summary, these phytocompounds seems to have the promising molecules against BfmR, and thus necessitates further verification by both in vitro and in vivo experiments. HighlightsBfmR plays a key role in biofilm development and exopolysaccharide (EPS) synthesis in A. baumannii.Computational approach to search for promising BfmR inhibitors from IMPAAT database.The lead phytomolecules such as Calystegine B3, 7,7 A-Diepialexine, and Alpha-Methylnoradrenaline displayed significant binding with BfmR active site.The outcome of BfmR binding phytomolecules has broadened the scope of hit molecules validation.Communicated by Ramaswamy H. Sarma.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Acinetobacter baumannii / Simulação de Dinâmica Molecular Tipo de estudo: Diagnostic_studies / Screening_studies Idioma: En Revista: J Biomol Struct Dyn Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Acinetobacter baumannii / Simulação de Dinâmica Molecular Tipo de estudo: Diagnostic_studies / Screening_studies Idioma: En Revista: J Biomol Struct Dyn Ano de publicação: 2023 Tipo de documento: Article