We deal with the most commonly used algorithms in biological applications. The first part of the course is dedicated to data mining algorithms and classification methods such as markov models and other learning methods. We explore how to use such algorithms to analyse large amount of data (e.g., genome analysis) and to build 3D structures of proteins (e.g., using homology modeling). The last part of the course is focused on molecular docking algorithms and high throughput screening protocols used in virtual screening calculations.
- Slides and notes from the course.
- Additional materials are distributed by the teacher.