I would like to acknowledge the creators for all the great material that helped me organising the content of the course, especially those open-source, open-access material. They contribute in my opinion to the benefit of the humanity.
Below are the key resources that I used. Individual papers and book chapters are cited in situ.
- Linear algebra
- MIT OpenCourseWare (OCW) course by Gilbert Strang
- Essence of Linear Algebra by 3Blue1Brown
- Calculus
- Probability theory and statistics
- Pattern recognition and machine learning by M. Bishop
- Medicinal Chemistry: The Molecular Basis of Drug Discovery (Davidson: D001x) on edX
- Design and Analysis of Clinical Trails
- Blog In The Pipeline by Derek Lowe, a veteran chemist working in drug discovery.
- An Introduction to Applied Bioinformatics (IAB)
- Rosalind, a platform to learn bioinformatics and programming via problem solving
- Bissantz, Caterina, Bernd Kuhn, and Martin Stahl. “A Medicinal Chemist’s Guide to Molecular Interactions.” Journal of Medicinal Chemistry 53, no. 14 (July 22, 2010): 5061–84.
- Stanton, Benjamin Z., Emma J. Chory, and Gerald R. Crabtree. “Chemically Induced Proximity in Biology and Medicine.” Science 359, no. 6380 (March 9, 2018): eaao5902.
- Bajorath, Ling Xue and Jurgen. “Molecular Descriptors in Chemoinformatics, Computational Combinatorial Chemistry, and Virtual Screening.” Combinatorial Chemistry & High Throughput Screening, September 30, 2000.
- Grisoni, Francesca, Davide Ballabio, Roberto Todeschini, and Viviana Consonni. “Molecular Descriptors for Structure–Activity Applications: A Hands-On Approach.” Computational Toxicology, 2018, 3–53.
- Modelling Biological Systems by James W. Haefner
- Roche Clinical Pharmacology Video Series
- International Society of Pharmacometrics
- General background and links for learning more about pharmacometrics, provided by the Faculty of Medical and Health Sciences, Department of Pharmacology and Clinical Pharmacology, University of Auckland
- CureFFI.org, by Eric Vallabh Minikel and his wife Sonia Vallabh who are 'patient-scientists'. I personally believe that what they do represents well how drug discovery should work - driven by a strong motivation and passion, enabled by a wide knowledge in biology, chemistry, and quantitative sciences including mathematics and informatics, and catalysed by ever deeper understanding of the complex biological system. Consider a donation if you care about prion diseases.
- Tomorrow Edition by Ben Stecher, a patient of Parkinson's Disease. His series The Search For A Cure is a great source of introduction to efforts of the human being to identify disease treatments, including drug discovery.