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Personal profile

Research interests

Dr. Petr Popov received PhD in Applied Math and Computer Science at Inria – Grenoble Rhone-Alpes, where he was developing algorithms for molecular modelling and computational chemistry in the Nano-D team. Later Dr. Popov joined Moscow Institute of Physics and Technology and the Bridge Institute of University of Southern California, where he developed structure analysis and machine learning tools to study structure and function of transmembrane proteins. Dr. Popov contributed to the structure determination of G protein-coupled receptors, which are one of the most important pharmacological targets, resulting in publications in top-ier scientific journals. His research mainly focuses on digital platforms for intelligent pharma applications.

Entrepreneurship and Innovation activities

STRIP : “GPCR-specific drug discovery”

Academic Reputation and Societal Impact

I am applying machine learning to biophysical data, conducting state-of-the-art research in structural biology, which is one of the most scientifically impactful field. These resulted in 4 publications in Nature Index journals, including Cell, Nature Chemical Biology, Nature Communication, Science Advances.

Collaborative projects with GPCR consortium on structural biology of G proteincoupled receptors, which are relevant pharmacological targets. Investigating atomic structures of these receptors lead to development of more efficient and specific novel drugs.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being


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