Ramil I. Nugmanov
Ramil I. Nugmanov
Janssen Pharmaceutica
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Cited by
Functional supramolecular systems: Design and applications
IS Antipin, MV Alfimov, VV Arslanov, VA Burilov, SZ Vatsadze, ...
Russian Chemical Reviews 90 (8), 895, 2021
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
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
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
Click chemistryin the synthesis of new amphiphilic 1, 3-alternate thiacalixarenes
VA Burilov, RI Nugmanov, RR Ibragimova, SE Solovieva, IS Antipin
Mendeleev Communications 25 (3), 177-179, 2015
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
Structurereactivity 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
Structurereactivity 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
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
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
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
Detection of sulfate surface-active substances via fluorescent response using new amphiphilic thiacalix [4] arenes bearing cationic headgroups with Eosin Y dye
VA Burilov, DA Mironova, RR Ibragimova, RI Nugmanov, SE Solovieva, ...
Colloids and Surfaces A: Physicochemical and Engineering Aspects 515, 41-49, 2017
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
Synthesis of new p-tert-butylcalix [4] arene-based polyammonium triazolyl amphiphiles and their binding with nucleoside phosphates
VA Burilov, GA Fatikhova, MN Dokuchaeva, RI Nugmanov, DA Mironova, ...
Beilstein journal of organic chemistry 14 (1), 1980-1993, 2018
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
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
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
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
Structurereactivity relationship in DielsAlder reactions obtained using the condensed reaction graph approach
TI Madzhidov, TR Gimadiev, DA Malakhova, RI Nugmanov, II Baskin, ...
Journal of Structural Chemistry 58, 650-656, 2017
Cross-validation strategies in QSPR modelling of chemical reactions
A Rakhimbekova, TN Akhmetshin, GI Minibaeva, RI Nugmanov, ...
SAR and QSAR in Environmental Research 32 (3), 207-219, 2021
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