AI in Drug Discovery & Development

Sowhardh Honnappa
Analytics Vidhya
Published in
4 min readApr 18, 2020

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Image Source: http://www.ihpasf.com/id/artificial-intelligence-making-its-way-into-pharmacy

Artificial Intelligence has numerous use cases when we talk about Drug Discovery and Development processes. Artificial Intelligence has been able to greatly advance the age-old pharmaceutical research methodologies and upgrade them from traditional approaches.

Drug Development is based on Molecule development. There are 2 approaches to develop molecules:-

1. Structure-based

This approach requires to have the knowledge of structure of both target and ligand

It deals with methods for free-energy binding calculation, protein-ligand docking, Dynamics of molecules etc.

2. Ligand-based

Ligand based approach uses ligand information to predict biological response.

What is a ligand?

It is an Ion/Molecule which binds with the central atom to form a complex coordination.

Drug Discovery Pipeline

Image Source: https://pubs.acs.org/doi/10.1021/acsmedchemlett.8b00437

Energy Evaluation between Molecules

It relies on the empirical scoring function/ force fields. During drug discovery and…

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