During the five days of the course, we will teach several topics relevant to structure-based drug discovery. Such topics include structure determination and prediction (days 1 and 2), human variability and pharmacogenomics (day 3), docking of small molecules from an experimental and computational prespective (day 4) and quantitative structure-activity relationships (day 5). This course is addressed to students with some knowledge of structural biology as well as computational biology.

This course aims to introduce researchers to a multidisciplinary approach to microrray data analysis. Particular attention is devoted to the design of microarray experiments, data normalization and quality control as well as to statistical analysis.

We introduce the foundations of information systems as they relate to Bioinformatics. We assume no prior knowledge, as we initially overview the principal methods in relational database management systems, information retrieval, and data mining. We describe evaluation approaches and support instruction via hands-on laboratory assignments. This course will serve as an introduction for work in the field and will provide the participants with the fundamental understanding to conduct research in this domain.