The CAPSID team is happy to welcome Prof. Dr. Olga Kalinina, from Helmholtz Institute for Pharmaceutical Research Saarland (HIPS) for her seminar entitled : “Artificial intelligence analysis of biological data: a case study of predicting genotype-to-phenotype relationships and drug-target interactions”.

Abstract : Artificial intelligence (AI) has proven to be very useful in biologically relevant domains, such as predictions of drug-target interactions or variant effect prediction. Notably, recent developments in protein structure prediction have revolutionized the field thanks to a clever combination of the wealth of sequence data with the accuracy of structural data by means of AI. In my talk, I will present how we build up on these advances to improve AI-based methods for predicting functional effect of sequence variants, anti-microbial resistance, and drug-target interactions. I will highlight the specific challenges related to analysis of biological data and offer potential solutions.