Sergey Sosnin
Sergey Sosnin
Verified email at
Cited by
Cited by
CATMoS: collaborative acute toxicity modeling suite
K Mansouri, AL Karmaus, J Fitzpatrick, G Patlewicz, P Pradeep, D Alberga, ...
Environmental health perspectives 129 (4), 047013, 2021
Comparative study of multitask toxicity modeling on a broad chemical space
S Sosnin, D Karlov, IV Tetko, MV Fedorov
Journal of chemical information and modeling 59 (3), 1062-1072, 2018
A survey of multi‐task learning methods in chemoinformatics
S Sosnin, M Vashurina, M Withnall, P Karpov, M Fedorov, IV Tetko
Molecular informatics 38 (4), 1800108, 2019
graphDelta: MPNN scoring function for the affinity prediction of protein–ligand complexes
DS Karlov, S Sosnin, MV Fedorov, P Popov
ACS omega 5 (10), 5150-5159, 2020
Real-time detection of hogweed: UAV platform empowered by deep learning
A Menshchikov, D Shadrin, V Prutyanov, D Lopatkin, S Sosnin, ...
IEEE Transactions on Computers 70 (8), 1175-1188, 2021
Chemical space exploration guided by deep neural networks
DS Karlov, S Sosnin, IV Tetko, MV Fedorov
RSC advances 9 (9), 5151-5157, 2019
Machine learning to predict retention time of small molecules in nano-HPLC
S Osipenko, I Bashkirova, S Sosnin, O Kovaleva, M Fedorov, E Nikolaev, ...
Analytical and Bioanalytical Chemistry 412, 7767-7776, 2020
Transformer-based artificial neural networks for the conversion between chemical notations
L Krasnov, I Khokhlov, MV Fedorov, S Sosnin
Scientific Reports 11 (1), 14798, 2021
Image2SMILES: Transformer‐based molecular optical recognition engine
I Khokhlov, L Krasnov, MV Fedorov, S Sosnin
Chemistry‐Methods 2 (1), e202100069, 2022
Exploring chemical reaction space with reaction difference fingerprints and parametric t-SNE
M Andronov, MV Fedorov, S Sosnin
ACS omega 6 (45), 30743-30751, 2021
Recommender systems in antiviral drug discovery
EA Sosnina, S Sosnin, AA Nikitina, I Nazarov, DI Osolodkin, MV Fedorov
ACS omega 5 (25), 15039-15051, 2020
Hydrogen/deuterium exchange aiding compound identification for LC-MS and MALDI imaging lipidomics
Y Kostyukevich, G Vladimirov, E Stekolschikova, D Ivanov, A Yablokov, ...
Analytical chemistry 91 (21), 13465-13474, 2019
3D matters! 3D-RISM and 3D convolutional neural network for accurate bioaccumulation prediction
S Sosnin, M Misin, DS Palmer, MV Fedorov
Journal of Physics: Condensed Matter 30 (32), 32LT03, 2018
PyFragMS─ A Web Tool for the Investigation of the Collision-Induced Fragmentation Pathways
Y Kostyukevich, S Sosnin, S Osipenko, O Kovaleva, L Rumiantseva, ...
ACS omega 7 (11), 9710-9719, 2022
Improvement of multi-task learning by data enrichment: application for drug discovery
EA Sosnina, S Sosnin, MV Fedorov
Journal of Computer-Aided Molecular Design 37 (4), 183-200, 2023
Influence of descriptor implementation on compound ranking based on multiparameter assessment
EA Sosnina, DI Osolodkin, EV Radchenko, S Sosnin, VA Palyulin
Journal of Chemical Information and Modeling 58 (5), 1083-1093, 2018
System for prediction of pharmacokinetic properties and toxicity of drug compounds
EV Radchenko, PV Karpov, SB Sosnin, AS Dyabina, EA Sosnina, ...
XX Mendeleev Congress on general and applied chemistry 4, 424, 2016
Identifying differences in the performance of machine learning models for off-targets trained on publicly available and proprietary data sets
A Smajić, I Rami, S Sosnin, GF Ecker
Chemical Research in Toxicology 36 (8), 1300-1312, 2023
BigSolDB: Solubility Dataset of Compounds in Organic Solvents and Water in a Wide Range of Temperatures
L Krasnov, S Mikhaylov, M Fedorov, S Sosnin
Message passing neural networks scoring functions for structure-based drug discovery
DS Karlov, P Popov, S Sosnin, MV Fedorov
Lecture Notes in Computer Science (см. в книгах) 11731, 845-847, 2019
The system can't perform the operation now. Try again later.
Articles 1–20