Graduated from: Moscow Institute of Physics and Technology
Research interests: Structural bioinformatics, Deep learning
Thesis title: Expanding the druggable genome with deep learning
Kozlovskii, Igor, and Petr Popov. “Protein–Peptide Binding Site Detection Using 3D Convolutional Neural Networks.” Journal of Chemical Information and Modeling (2021).
Kozlovskii, Igor, and Petr Popov. “Spatiotemporal identification of druggable binding sites using deep learning.” Communications biology 3.1 (2020): 1-12.
Popov, Petr, Igor Kozlovskii, and Vsevolod Katritch. “Computational design for thermostabilization of GPCRs.” Current Opinion in Structural Biology 55 (2019): 25-33.