Timur I. Madzhidov

According to our database, Timur I. Madzhidov authored at least 14 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Multi-Instance Learning Approach to the Modeling of Enantioselectivity of Conformationally Flexible Organic Catalysts.

Dmitry V. Zankov, Timur I. Madzhidov, Pavel G. Polishchuk, Pavel Sidorov, Alexandre Varnek

J. Chem. Inf. Model., November, 2023

2022

CGRdb2.0: A Python Database Management System for Molecules, Reactions, and Chemical Data.

Timur Gimadiev, Ramil I. Nugmanov, Aigul Khakimova, Adeliya Fatykhova, Timur I. Madzhidov, Pavel Sidorov, Alexandre Varnek

J. Chem. Inf. Model., 2022

Inverse QSAR: Reversing Descriptor-Driven Prediction Pipeline Using Attention-Based Conditional Variational Autoencoder.

William Bort, Daniyar Mazitov, Dragos Horvath, Fanny Bonachéra, Arkadii I. Lin, Gilles Marcou, Igor I. Baskin, Timur I. Madzhidov, Alexandre Varnek

J. Chem. Inf. Model., 2022

HyFactor: A Novel Open-Source, Graph-Based Architecture for Chemical Structure Generation.

Tagir Akhmetshin, Arkadii I. Lin, Daniyar Mazitov, Yuliana Zabolotna, Evgenii Ziaikin, Timur I. Madzhidov, Alexandre Varnek

J. Chem. Inf. Model., 2022

2021

QSAR Modeling Based on Conformation Ensembles Using a Multi-Instance Learning Approach.

Dmitry V. Zankov, Mariia Matveieva, Aleksandra V. Nikonenko, Ramil I. Nugmanov, Igor I. Baskin, Alexandre Varnek, Pavel G. Polishchuk, Timur I. Madzhidov

J. Chem. Inf. Model., 2021

Combined Graph/Relational Database Management System for Calculated Chemical Reaction Pathway Data.

Timur Gimadiev, Ramil I. Nugmanov, Dinar Batyrshin, Timur I. Madzhidov, Satoshi Maeda, Pavel Sidorov, Alexandre Varnek

J. Chem. Inf. Model., 2021

2019

Conjugated Quantitative Structure-Property Relationship Models: Application to Simultaneous Prediction of Tautomeric Equilibrium Constants and Acidity of Molecules.

Dmitry V. Zankov, Timur I. Madzhidov, Asima I. Rakhimbekova, Timur Gimadiev, Ramil I. Nugmanov, Marina A. Kazymova, Igor I. Baskin, Alexandre Varnek

J. Chem. Inf. Model., 2019

CGRtools: Python Library for Molecule, Reaction, and Condensed Graph of Reaction Processing.

Ramil I. Nugmanov, Ravil N. Mukhametgaleev, Tagir Akhmetshin, Timur Gimadiev, Valentina A. Afonina, Timur I. Madzhidov, Alexandre Varnek

J. Chem. Inf. Model., 2019

Multi-instance Learning for Structure-Activity Modeling for Molecular Properties.

Dmitry V. Zankov, Maxim D. Shevelev, Alexandra V. Nikonenko, Pavel G. Polishchuk, Asima I. Rakhimbekova, Timur I. Madzhidov

Proceedings of the Analysis of Images, Social Networks and Texts, 2019

2018

Hydration of copper(II) amino acids complexes.

Mikhail S. Bukharov, Valery G. Shtyrlin, Edward M. Gilyazetdinov, Nikita Yu. Serov, Timur I. Madzhidov

J. Comput. Chem., 2018

Assessment of tautomer distribution using the condensed reaction graph approach.

Timur Gimadiev, Timur I. Madzhidov, Ramil I. Nugmanov, Igor I. Baskin, Igor S. Antipin, Alexandre Varnek

J. Comput. Aided Mol. Des., 2018

2017

Structure-reactivity modeling using mixture-based representation of chemical reactions.

Pavel G. Polishchuk, Timur I. Madzhidov, Timur Gimadiev, Andrey Bodrov, Ramil I. Nugmanov, Alexandre Varnek

J. Comput. Aided Mol. Des., 2017

2016

Automatized Assessment of Protective Group Reactivity: A Step Toward Big Reaction Data Analysis.

Arkadii I. Lin, Timur I. Madzhidov, Olga Klimchuk, Ramil I. Nugmanov, Igor S. Antipin, Alexandre Varnek

J. Chem. Inf. Model., 2016

2013

Estimation of the size of drug-like chemical space based on GDB-17 data.

Pavel G. Polishchuk, Timur I. Madzhidov, Alexandre Varnek

J. Comput. Aided Mol. Des., 2013