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Rchr
J-GLOBAL ID：201901001813739030
Update date: Dec. 10, 2024 SIDOROV Pavel
シドロフ パベル | SIDOROV Pavel
Clips
Hokkaido University
About Hokkaido University
Research field (4)：
Synthetic organic chemistry
, Intelligent informatics
, Pharmaceuticals - chemistry and drug development
, Structural/physical organic chemistry
Research keywords (6)：
Organic catalysis
, Artificial Intelligence
, Organic chemistry
, Machine Learning
, Drug Design
, Chemoinformatics
Research theme for competitive and other funds (5)： - 2023 - 2026 Guided exploration of gigantic chemical space by machine learning
- 2023 - 2026 Creation of gigantic chemical space science: Establishment of scientific principles for finding useful compounds from hundreds of millions of unknown compounds
- 2023 - 2025 Stereo-sensitive molecular descriptors for machine learning approach to design of asymmetric catalysts
- 2021 - 2024 不溶性有機化合物の自在化学変換を可能とする革新的メカノケミカル合成
- 2021 - 2024 Rationally designed catalysis for the enantioselective activation of alkenes
- Pavel Sidorov, Nobuya Tsuji. A Primer on 2D Descriptors in Selectivity Modeling for Asymmetric Catalysis. Chemistry - A European Journal. 2024
- Dmitry Zankov, Timur Madzhidov, Pavel Polishchuk, Pavel Sidorov, Alexandre Varnek. Multi-Instance Learning Approach to the Modeling of Enantioselectivity of Conformationally Flexible Organic Catalysts. Journal of Chemical Information and Modeling. 2023
- Nobuya Tsuji, Pavel Sidorov, Chendan Zhu, Yuuya Nagata, Timur Gimadiev, Alexandre Varnek, Benjamin List. Predicting Highly Enantioselective Catalysts Using Tunable Fragment Descriptors**. Angewandte Chemie International Edition. 2023. 62. 11
- Timur Gimadiev, Ramil Nugmanov, Aigul Khakimova, Adeliya Fatykhova, Timur Madzhidov, Pavel Sidorov, Alexandre Varnek. CGRdb2.0: A Python Database Management System for Molecules, Reactions, and Chemical Data. Journal of Chemical Information and Modeling. 2021
- Arkadii Lin, Natalia Dyubankova, Timur I. Madzhidov, Ramil I. Nugmanov, Jonas Verhoeven, Timur R. Gimadiev, Valentina A. Afonina, Zarina Ibragimova, Assima Rakhimbekova, Pavel Sidorov, et al. Atom-to-atom Mapping: A Benchmarking Study of Popular Mapping Algorithms and Consensus Strategies. Molecular Informatics. 2021
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Predicting highly enantioselective catalysts using machine learning
(8th Autumn School of Chemoinformatics in Nara 2023) -
Predicting highly enantioselective catalysts using machine learning
(14th ISAJ Annual Symposium 2023) -
Fragment descriptors for prediction of enantioselectivity in asymmetric catalysis
(• List Sustainable Digital Transformation Catalyst Collaboration Research Platform Kickoff Symposium 2023) -
Fragment descriptors for prediction of enantioselectivity in asymmetric catalysis
(The 6th ICReDD International Symposium 2023) -
Predicting Highly Enantioselective Catalysts Using Machine Learning
(The 5th conference of Theory and Applications of Computational Chemistry (TACC) 2023)
- 2014 - 2017 University of Strasbourg Faculty of Chemistry PhD (Chemoinformatics)
- 2012 - 2014 University of Strasbourg Faculty of Chemistry Master (Chemoinformatics)
- 2007 - 2012 Kazan Federal University Institute of Chemistry Specialist (Inorganic Chemistry)
- Ph.D. (University of Strasbourg)
- 2022/02 - 現在 Hokkaido University Institute for Chemical Reaction Design and Development Associate Professor
- 2019/09 - 2022/02 Hokkaido University Institute for Chemical Reaction Design and Discovery Specially Appointed Assistant Professor
- 2017/11 - 2019/08 Cancer Research Center of Marseille (France) Postdoctoral Fellow
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.
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