About this episode

Listen to this fantastic round table discussion that I had the privilege to moderate with Alexander Hauser. Our guests were Maria Waldhoer, Tudor I. Oprea, Thomas Sakmar, Aurelien Rizk & Yaroslav Nikolaev.

The explosion of biomedical data such as in genomics, structural biology, and pharmacology can provide new opportunities to improve our understanding of human physiology and disease. In recent years, machine learning (ML) and artificial intelligence (AI) methods have received a significant boost in attention. ML/AI can be powerful for identifying abstract patterns within large data where traditional methods would be oblivious to.

This comes without the need for manual feature engineering as systems can learn through implicit rules from the data provided. G protein-coupled receptors (GPCRs) mediate a vast variety of critical biological processes and provide an ideal case study for quantitative, and multi‐scale integration of these amounts of data to gain novel insights into receptor biology. How can we best leverage these exciting new techniques in areas such as protein structure prediction, bioactive ligand discovery, in-vivo translation ability, or in our understanding of signaling determinants? Here, we would like to discuss the opportunities, weaknesses, and advantages of these new technologies, which may contribute to probe our favorite targets at all scales.

For more information on the ERNEST network, visit https://ernest-gpcr.eu/.

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