Remo Rhos: Structure-based deep learning models for predicting protein-DNA binding specificity

Remo Rohs is a professor of quantitative and computational biology, chemistry, physics and astronomy, computer science, medicine and biomedical engineering at the University of Southern California in Los Angeles, California. The main focus of the Rohs lab is the understanding of molecular interactions based on three-dimensional structure. His lab develops AI-based computational biology methods based on molecular structure with the goal to answer biological questions related to gene regulation, nucleic acid structure, protein-nucleic acid binding, and drug design. In his talk, he will discuss DeepPBS, a method for the prediction of protein-DNA binding specificity from structural data, and DrugHIVE, an approach for the design of drug-like molecules that are not available in current drug libraries. He will further introduce tools that his lab developed for the analysis and prediction of DNA and RNA structure and protein-nucleic acid binding.

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This is an in-person event.