Identification of potent anti-fibrinolytic compounds against plasminogen and tissue-type plasminogen activator employing

Molecular Mechanics Poisson-Boltzmann Surface Area (MMPBSA) molecular docking molecular dynamics simulation plasmin principal component analysis (PCA) structure-based virtual screening

Journal

Journal of biomolecular structure & dynamics
ISSN: 1538-0254
Titre abrégé: J Biomol Struct Dyn
Pays: England
ID NLM: 8404176

Informations de publication

Date de publication:
Apr 2024
Historique:
pubmed: 22 5 2023
medline: 22 5 2023
entrez: 22 5 2023
Statut: ppublish

Résumé

The zymogen protease Plasminogen (Plg) and its active form plasmin (Plm) carry out important functions in the blood clot disintegration (breakdown of fibrin fibers) process. Inhibition of plasmin effectively reduces fibrinolysis to circumvent heavy bleeding. Currently, available Plm inhibitor tranexamic acid (TXA) used for treating severe hemorrhages is associated with an increased incidence of seizures which in turn were traced to gamma-aminobutyric acid antagonistic activity (GABAa) in addition to having multiple side effects. Fibrinolysis can be suppressed by targeting the three important protein domains: the kringle-2 domain of tissue plasminogen activator, the kringle-1 domain of plasminogen, and the serine protease domain of plasminogen. In the present study, one million molecules were screened from the ZINC database. These ligands were docked to their respective protein targets using Autodock Vina, Schrödinger Glide, and ParDOCK/BAPPL+. Thereafter, the drug-likeness properties of the ligands were evaluated using Discovery Studio 3.5. Subsequently, we subjected the protein-ligand complexes to molecular dynamics simulation of 200 ns in GROMACS. The identified ligands P76(ZINC09970930), C97(ZINC14888376), and U97(ZINC11839443) for each protein target are found to impart higher stability and greater compactness to the protein-ligand complexes. Principal component analysis (PCA) implicates, that the identified ligands occupy smaller phase space, form stable clusters, and provide greater rigidity to the protein-ligand complexes. Molecular Mechanics Poisson-Boltzmann Surface Area (MMPBSA) analysis reveals that P76, C97, and U97 exhibit better binding free energy (ΔG) when compared to that of the standard ligands. Thus, our findings can be useful for the development of promising anti-fibrinolytic agents.Communicated by Ramaswamy H. Sarma.

Identifiants

pubmed: 37216286
doi: 10.1080/07391102.2023.2213343
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

3204-3222

Auteurs

Suparna Banerjee (S)

School of Biological Sciences, Indian Association for the Cultivation of Science, Kolkata, West Bengal, India.

Yeshwanth Mahesh (Y)

Department of Computational and Data Sciences, Indian Institute of Science, Bangalore, Karnataka, India.

Dhamodharan Prabhu (D)

Center for Drug Discovery, Department of Biotechnology, Karpagam Academy of Higher Education, Coimbatore, Tamil Nadu, India.

Kanagaraj Sekar (K)

Department of Computational and Data Sciences, Indian Institute of Science, Bangalore, Karnataka, India.

Prosenjit Sen (P)

School of Biological Sciences, Indian Association for the Cultivation of Science, Kolkata, West Bengal, India.

Classifications MeSH