Breakout session

Predicting biophysical characteristics of proteins from their sequence (Afrika)

Organizer: Niloofar Shirvanizadeh, VUB

There are now well over 130 million protein sequences available from Uniprot, and for only a small fraction of these (about 2%) structural information is available from the Protein Data Bank. Uniprot provides a mix of manual and automatic annotations for these sequences, but when working on a particular research question you might want to obtain a better insight into the possible behavior of the protein(s) you are interested in.

We will introduce single-sequence based predictions of biophysical characteristics of proteins such as backbone dynamics from DynaMine, using Python scripts to access an API, and to then visualize them.

Objectives:

• Learn about new sequence based prediction methods for the biophysics of proteins from the Bio2Byte group
• Use Python to access data via an API
• Visualize the results

For whom:

The session will be suitable for anyone wanting to learn more about sequence-based predictions of proteins, from researchers and specialists in computational biology and bioinformatics to experimentalists interested in protein engineering.