Molecular Docking: Paving the Path for Next-Generation Drug Discovery

Computer-aided drug design CADD and structural molecular biology highly rely on Molecular Docking. Ligand-protein docking attempts to predict the likely binding mode or modes of a ligand with a protein of known three-dimensional structure.  Stable docking algorithms utilize a scoring equation in order to adequately score candidate dockings, and they efficiently search high-dimensional spaces. The conventional drug development process is prolonged and complex, and the elevated failure rate of new medications in human trials underscores the necessity for computational methods in drug research. The In-silico approach encompasses docking molecules into specific proteins, analyzing their molecular interactions, predicting the binding affinity, synthesizing novel compounds, and evaluating their therapeutic characteristics. In this review, we discussed the summary of modern computational methods utilized in the development of pharmaceutical treatment. It emphasizes a variety of small compounds from natural sources and synthetic sources recognized for their ability to obstruct CADD assists in identifying appropriate pharmacological properties and their compatibility, facilitating pre-clinical trials. It also highlights the recent advancements and the current state of CADD to accelerate drug design and identification of therapeutics, and offers a thorough examination of CADD methodologies, classifications, principles, and applications in drug development. The identification of targets, the discovery of lead compounds through docking and simulation studies, enhancing efficacy, etc., may initiate collaborative research efforts and identify novel chemical compounds for innovative medicinal drugs.

 Keywords – Molecular Docking (MD), Computer-aided drug design (CADD), Molecular dynamics Simulation (MDS), In silico, Drug discovery.