Post Doc
Sergey Sosnin graduated from Lomonosov Moscow State University, Department of Chemistry with a Specialist degree in bioorganic chemistry. He obtained his PhD degree from the Skolkovo Institute of Science and Technology (Skoltech), Moscow in 2021. His research focuses on the application of deep learning to organic and medicinal chemistry. Sergey is the author and co-author of 15 peer-reviewed publications. His h-index is 7.
Publications
Showing entries 1 - 7 out of 7
Krasnov L, Malikov D, Kiseleva M, Tatarin S, Sosnin S, Bezzubov S. BigSolDB 2.0, dataset of solubility values for organic compounds in different solvents at various temperatures. Scientific Data. 2025 Jul 12;12(1):1236. doi: 10.1038/s41597-025-05559-8
Sosnin S. Chemical space visual navigation in the era of deep learning and Big Data. Drug Discovery Today. 2025 Jul;30(7):104392. doi: 10.1016/j.drudis.2025.104392
Sosnin S. MolCompass: Multi-tool for the Navigation in Chemical Space and Visual Validation of QSAR/QSPR Models. Journal of Cheminformatics. 2024 Dec;16(1):98. doi: 10.1186/s13321-024-00888-z
Granulo N, Sosnin S, Digles D, Ecker GF. The macrocycle inhibitor landscape of SLC‐transporter. Molecular Informatics. 2024 May;43(5):e202300287. Epub 2024 Jan 30. doi: 10.1002/minf.202300287
Huang J, Osthushenrich T, MacNamara A, Mälarstig A, Brocchetti S, Bradberry S et al. ProteoMutaMetrics: Machine Learning Approaches for Solute Carrier Family 6 Mutation Pathogenicity Prediction. Rsc advances. 2024 Apr 22;14(19):13083-13094. 00748. doi: 10.1039/d4ra00748d
Smajić A, Rami I, Sosnin S, Ecker GF. Identifying Differences in the Performance of Machine Learning Models for Off-Targets Trained on Publicly Available and Proprietary Data Sets. Chemical Research in Toxicology. 2023 Aug 21;36(8):1300-1312. Epub 2023 Jul 13. doi: 10.1021/acs.chemrestox.3c00042
Sosnina E, Sosnin S, Fedorov M. Improvement of multi‑task learning by data enrichment: application for drug discovery. Journal of Computer-Aided Molecular Design. 2023 Apr;37(4):183-200. doi: 10.1007/s10822-023-00500-w