Drug Discovery

Transforming Drug Discovery with AIUnlocking the Potential of Artificial Intelligence in Pharmaceutical Research.

Harnessing the Power of Artificial Intelligence in Drug Discovery

Learn how AI integrates with network pharmacology to revolutionize drug discovery.

Students will learn the process of drug discovery and development through specific examples of case studies to better understand the issues facing the challenges of delivering a new drug on the market. At the completion of this course you will be able to have a better understanding of how a small or large molecule becomes a pharmaceutical drug.

Learn about how drugs are discovered and developed with a top pharmaceutical professional.

The authors in the book discuss the current and evolving state of drug discovery and development.

This volume delivers up-to-date information on the identification of newer uses, molecular mechanisms, and novel targets of existing drug candidates through the application of various experimental, biophysical, and computational approaches and techniques. The book discusses recent advances in drug repurposing strategies that are currently being used in the discovery and development of drugs against difficult-to-treat, rare, and life-threatening diseases, including microbial infections, COVID-19, parasitic diseases, cardiovascular diseases, neurological disorders, and cancer. The book also discusses the modern experimental assays (HTS) and computational techniques including informatics and databases, molecular docking and dynamics, artificial intelligence and machine learning, virtual screening and pharmacophore modeling, proteomics and metabolomics, and network pharmacology and systems biology approaches.