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Resources used to prepare for the course

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.

Mathematical foundations

  • 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

Drug discovery in general

Bioinformatics: sequence analysis and phylogeny

Chemoinformatics and computer-aided drug design

Mathematical modelling in preclinical research

  • Modelling Biological Systems by James W. Haefner

Pharmacometrics

Drug discovery from the perspectives of patients and their relatives

  • 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.

Emerging techniques