Igor Kozlovskii

Graduated from: Moscow Institute of Physics and Technology

Research interests: Structural bioinformatics, Deep learning

Thesis title: Expanding the druggable genome with deep learning

Publications:

Kozlovskii, Igor, and Petr Popov. “Protein–Peptide Binding Site Detection Using 3D Convolutional Neural Networks.” Journal of Chemical Information and Modeling (2021).

https://doi.org/10.1021/acs.jcim.1c00475

Kozlovskii, Igor, and Petr Popov. “Spatiotemporal identification of druggable binding sites using deep learning.” Communications biology 3.1 (2020): 1-12.

https://doi.org/10.1038/s42003-020-01350-0

Popov, Petr, Igor Kozlovskii, and Vsevolod Katritch. “Computational design for thermostabilization of GPCRs.” Current Opinion in Structural Biology 55 (2019): 25-33.

https://doi.org/10.1016/j.sbi.2019.02.010