Review On Pharmacophore Mapping And Virtual Screening

Abstract

3D Pharmacophore-based Techniques Are Crucial For Virtual Screening Of Large Compound Databases. They Offer An Intuitive Approach But Pose Algorithmic Challenges. This Review Discusses Strategies And Algorithms Used In Pharmacophore Modeling Platforms, High Lighting Their Differences. Virtual Screening Helps Predict Molecule Activity, Reducing Costs And Resources Needed For Drug Development By Identifying Promising Leads For Lab Experiments. Pharmacophore Models Can Be Developed When A Protein Target's 3D Structure Is Unknown Or When Ligands Are Available. These Models, Based On Chemical Features Like Hydrogen-bond Acceptors/donors, Are Used For Virtual Screening Of Databases.3D Pharmacophores Consider Featureslikehydrophobicpoints,acidic/basicgroups,andhydrogenbonding.Virtualscreening With 3D Pharmacophores Requires Advanced Tools Due To Increased Complexity. The Chemical Function-based Approach Is Widely Used, Defining Inter Actions Between Molecules And Proteins

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