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Madzhidov, Timur I.
Madzhidov, Timur I.
Подтвержден адрес электронной почты в домене elsevier.com - Главная страница
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Год
Estimation of the size of drug-like chemical space based on GDB-17 data
PG Polishchuk, TI Madzhidov, A Varnek
Journal of computer-aided molecular design 27, 675-679, 2013
5232013
Modern Trends of Organic Chemistry in Russian Universities
AI Konovalov, IS Antipin, VA Burilov, TI Madzhidov, AR Kurbangalieva, ...
Russian Journal of Organic Chemistry 54, 157-371, 2018
83*2018
Artificial intelligence in synthetic chemistry: achievements and prospects
II Baskin, TI Madzhidov, IS Antipin, AA Varnek
Russian Chemical Reviews 86 (11), 1127, 2017
622017
Automatized assessment of protective group reactivity: a step toward big reaction data analysis
AI Lin, TI Madzhidov, O Klimchuk, RI Nugmanov, IS Antipin, A Varnek
Journal of Chemical Information and Modeling 56 (11), 2140-2148, 2016
582016
Discovery of novel chemical reactions by deep generative recurrent neural network
W Bort, II Baskin, T Gimadiev, A Mukanov, R Nugmanov, P Sidorov, ...
Scientific reports 11 (1), 3178, 2021
542021
CGRtools: Python library for molecule, reaction, and condensed graph of reaction processing
RI Nugmanov, RN Mukhametgaleev, T Akhmetshin, TR Gimadiev, ...
Journal of chemical information and modeling 59 (6), 2516-2521, 2019
532019
Ligand-based pharmacophore modeling using novel 3D pharmacophore signatures
A Kutlushina, A Khakimova, T Madzhidov, P Polishchuk
Molecules 23 (12), 3094, 2018
492018
Structure-reactivity relationships in terms of the condensed graphs of reactions
TI Madzhidov, PG Polishchuk, RI Nugmanov, AV Bodrov, AI Lin, II Baskin, ...
Russian Journal of Organic Chemistry 50, 459-463, 2014
482014
Comprehensive analysis of applicability domains of QSPR models for chemical reactions
A Rakhimbekova, TI Madzhidov, RI Nugmanov, TR Gimadiev, II Baskin, ...
International Journal of Molecular Sciences 21 (15), 5542, 2020
372020
Structure–reactivity modeling using mixture-based representation of chemical reactions
P Polishchuk, T Madzhidov, T Gimadiev, A Bodrov, R Nugmanov, ...
Journal of computer-aided molecular design 31, 829-839, 2017
362017
Assessment of tautomer distribution using the condensed reaction graph approach
TR Gimadiev, TI Madzhidov, RI Nugmanov, II Baskin, IS Antipin, A Varnek
Journal of Computer-Aided Molecular Design 32, 401-414, 2018
342018
Structure–reactivity relationship in bimolecular elimination reactions based on the condensed graph of a reaction
TI Madzhidov, AV Bodrov, TR Gimadiev, RI Nugmanov, IS Antipin, ...
Journal of Structural Chemistry 56, 1227-1234, 2015
342015
Atom‐to‐atom mapping: a benchmarking study of popular mapping algorithms and consensus strategies
A Lin, N Dyubankova, TI Madzhidov, RI Nugmanov, J Verhoeven, ...
Molecular Informatics 41 (4), 2100138, 2022
302022
Predictive models for kinetic parameters of cycloaddition reactions
M Glavatskikh, T Madzhidov, D Horvath, R Nugmanov, T Gimadiev, ...
Molecular Informatics 38 (1-2), 1800077, 2019
252019
Using semantic analysis of texts for the identification of drugs with similar therapeutic effects
EV Tutubalina, ZS Miftahutdinov, RI Nugmanov, TI Madzhidov, ...
Russian Chemical Bulletin 66, 2180-2189, 2017
252017
Development of “structure-property” models in nucleophilic substitution reactions involving azides
RI Nugmanov, TI Madzhidov, GR Khaliullina, II Baskin, IS Antipin, ...
Journal of Structural Chemistry 55, 1026-1032, 2014
252014
The nature of hydrogen bonds with divalent selenium compounds
TI Madzhidov, GA Chmutova
Journal of Molecular Structure: THEOCHEM 959 (1-3), 1-7, 2010
252010
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, ...
Molecular informatics 38 (4), 1800104, 2019
242019
The nature of the interaction of organoselenium molecules with diiodine
TI Madzhidov, GA Chmutova, A Martín Pendás
The Journal of Physical Chemistry A 115 (35), 10069-10077, 2011
242011
QSAR modeling based on conformation ensembles using a multi-instance learning approach
DV Zankov, M Matveieva, AV Nikonenko, RI Nugmanov, II Baskin, ...
Journal of Chemical Information and Modeling 61 (10), 4913-4923, 2021
222021
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