Pharma & Life Sciences
AI for drug discovery, chemistry, genomics and pharma quality and regulation.
Advanced
Once the basics are comfortable.
BioInformatics: Algorithms and Applications (IIT Madras)
Sequence alignment, protein structure, genomics databases and the algorithms behind them, taught for biology and engineering students. Free to learn on NPTEL; the certificate needs a proctored exam with a fee.
NPTEL
Computational Genomics (IISER Bhopal)
Analysing genome data with computers: sequencing, assembly, gene expression and the statistics behind genomics. Free to learn on NPTEL; the certificate needs a proctored exam with a fee.
NPTEL
TeachOpenCADD: Computer-Aided Drug Design
A free, open teaching platform for drug design with Python: getting compound data, molecular similarity, virtual screening and deep learning on molecules, in step-by-step notebooks. No login needed.
Volkamer Lab
Algorithms in Computational Biology and Sequence Analysis (IISc)
The algorithms used to compare and search DNA and protein sequences at scale, from alignment to indexing. Free to learn on NPTEL; the certificate needs a proctored exam with a fee.
NPTEL
Computational Biology (MIT 6.047)
MIT's course on algorithms and machine learning for biology: genomes, gene regulation, evolution and networks, with lecture videos and notes.
MIT OpenCourseWare
EMA Reflection Paper: AI in the Medicinal Product Lifecycle
How the European Medicines Agency expects AI to be used and validated across drug discovery, clinical trials, manufacturing and safety monitoring.
European Medicines Agency