ギマディエフティムール

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ギマディエフティムール
連絡先

gimadiev atmark icredd.hokudai.ac.jp

アレクサンドル・ヴァーネック グループ
主任研究者
教員
博士研究員

研究紹介

研究テーマ

Generation of novel reactions by means of reccurent neural networks

キーワード

Chemoinformatics, QSAR, Data mining, Neural networks, Chemical databases, Quantum chemistry, Organic synthesis.
研究概要

I graduated from the Institute of Chemistry, Department of Organoelement and Polymer Chemistry (Kazan, Russia) in 2009. My diploma work was devoted to the synthesis of organophosphorus compounds and study of their polyhedral complexes with copper. Then, I was employed at the same lab as synthetic chemist. In 2012, I entered to Double-Diploma Master Program in Chemoinformatics between Kazan Federal University and University of Strasbourg. My master thesis was devoted to profiling of biological activities for molecules with Generative Topographic Mapping approach. My PhD project at the University of Strasbourg concerned development of predictive models for kinetic and theromynamic properties of reactions using the Condensed Graph of Reaction approach. Then I worked in Kazan Federal University on reaction data analysis, structure-reactivity modeling and computer-aided synthesis design, and participated in other projects related to in silico drug design and predictive modeling of material properties. Now I am working at ICReDD, Hokkaido University, Japan on generation of novel reactions by means of Recurrent Neural Networks and development of database for fast storage and search of chemical data.

代表的な研究成果

  • Sydnone-alkyne cycloaddition: Which factors are responsible for reaction rate ?
    T.R. Gimadiev, O. Klimchuk, R.I. Nugmanov, T.I. Madzhidov, A. Varnek , J. Mol. Struct., 2019, 1198
    DOI: 10.1016/j.molstruc.2019.126897
  • CGRtools: Python Library for Molecule, Reaction, and Condensed Graph of Reaction Processing
    R.I. Nugmanov, R.N. Mukhametgaleev, T. Akhmetshin, T.R. Gimadiev, V.A. Afonina, T.I. Madzhidov, A. Varnek , JCIM, 2019, 59, 2516–2521
    DOI: 10.1021/acs.jcim.9b00102
  • Bimolecular Nucleophilic Substitution Reactions: Predictive Models for Rate Constants and Molecular Reaction Pairs Analysis
    T. Gimadiev, T. Madzhidov, I. Tetko, R. Nugmanov, I. Casciuc, O. Klimchuk, A. Bodrov, P. Polishchuk, I. Antipin, A. Varnek , Mol. Inf., 2019, 38
    DOI: 10.1002/minf.201800104
  • Conjugated Quantitative Structure-Property Relationship Models: Application to Simultaneous Prediction of Tautomeric Equilibrium Constants and Acidity of Molecules
    D.V. Zankov, T.I. Madzhidov, A. Rakhimbekova, T.R. Gimadiev, R.I. Nugmanov, M.A. Kazymova, I.I. Baskin, A. Varnek , JCIM., 2019
    DOI: 10.1021/acs.jcim.9b00722
  • Assessment of tautomer distribution using the condensed reaction graph approach
    T.R. Gimadiev, T.I. Madzhidov, R.I. Nugmanov, I.I. Baskin, I.S. Antipin, A. Varnek, JCAMD., 2018, 32, 401–414
    DOI: 10.1007/s10822-018-0101-6
  • Structure–reactivity modeling using mixture-based representation of chemical reactions
    P. Polishchuk, T. Madzhidov, T. Gimadiev, A. Bodrov, R. Nugmanov, A. Varnek, JCAMD., 2017, 31, 829–839
    DOI: 10.1007/s10822-017-0044-3