Computational Approaches in Drug Design Molecular Docking Studies of Ace Inhibitors on Angiotensine Converting Enzyme

A molecular docking is a computational technique essential in drug design, particularly in predicting how small molecules (ligands) bind to target proteins. It begins with the significance of Computer- Aided Drug Design (CADD) in modern drug discovery and elaborates on its types—Structure-Based Drug Design (SBDD) and Ligand-Based Drug Design (LBDD). Molecular docking, a key aspect of SBDD, involves predicting how ligands interact with target proteins, crucial in developing treatments for diseases like HIV, where protease inhibitors were created using this approach. The document outlines methodologies like Monte Carlo and fragment-based approaches, along with docking types (rigid, semi-flexible, and flexible). It also highlights tool like AutoDock used for molecular docking studies. A case study involving docking of ACE inhibitors (Captopril, Enalapril, Ramipril) for antihypertensive activity is presented. Results showed promising binding energies, with Captopril exhibiting the highest binding energy at the ACE active site, indicating its effectiveness. The document concludes by discussing the relevance of molecular docking in drug design and its broader applications in industrial and environmental studies.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-21
DOI
https://doi.org/10.5281/zenodo.14540188
Primary Topic
Computational Drug Discovery Methods
Type
article
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article

Computational Approaches in Drug Design Molecular Docking Studies of Ace Inhibitors on Angiotensine Converting Enzyme

Zenodo (CERN European Organization for Nuclear Research)
Computational Drug Discovery Methods
article

Computational Approaches in Drug Design Molecular Docking Studies of Ace Inhibitors on Angiotensine Converting Enzyme

article en

Abstract

A molecular docking is a computational technique essential in drug design, particularly in predicting how small molecules (ligands) bind to target proteins. It begins with the significance of Computer- Aided Drug Design (CADD) in modern drug discovery and elaborates on its types—Structure-Based Drug Design (SBDD) and Ligand-Based Drug Design (LBDD). Molecular docking, a key aspect of SBDD, involves predicting how ligands interact with target proteins, crucial in developing treatments for diseases like HIV, where protease inhibitors were created using this approach. The document outlines methodologies like Monte Carlo and fragment-based approaches, along with docking types (rigid, semi-flexible, and flexible). It also highlights tool like AutoDock used for molecular docking studies. A case study involving docking of ACE inhibitors (Captopril, Enalapril, Ramipril) for antihypertensive activity is presented. Results showed promising binding energies, with Captopril exhibiting the highest binding energy at the ACE active site, indicating its effectiveness. The document concludes by discussing the relevance of molecular docking in drug design and its broader applications in industrial and environmental studies.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 51%
Computational Drug Discovery Methods
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