Computational Biology – From Molecules to Tissues

About

An intensive introductory course in Computational Biology. It will have four main components:
* Introductory lectures on mathematics and physics for biologists, or biology for exact sciences students (parallel tracks);
* courses on specialized Computational Biology topics ranging from the molecular level to integrated physiological systems;
* seminars on recent developments by leading scientists;
* short research projects where the students will have opportunity to apply the acquired skills to research problems.

Topics covered:
* Core knowledge for modeling biological systems
* Molecular dynamics and coarse-grained methods for lipid membranes and proteins
* Protein-ligand interactions and drug discovery
* Data Science and Artificial Intelligence in Biology and Biomedicine
* Genomics/Transcriptomics to characterize cellular mechanisms
* Kinetic modeling of metabolic and signaling processes
* Modeling of physiological systems
* Computational Neuroscience / NeuroAI

Course leader

Armindo Salvador, Rui Travasso, Tiago Pereira, Conceição Egas

Target group

Students from the M. Sc. to post-doctoral levels with either biological or exact sciences backgrounds who wish to acquire skills in Computational Biology. Applications from B. Sc. students with outstanding CVs will also be considered.

Course aim

To introduce students to the field of Computational Biology, and develop hands-on expertise in applying computational tools to research problems. Biomedical applications are emphasized.

Fee info