Vladimir I. Chupakhin

According to our database, Vladimir I. Chupakhin authored at least 10 papers between 2010 and 2020.

Collaborative distances:

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

2020

Industry-scale application and evaluation of deep learning for drug target prediction.

Noé Sturm, Andreas Mayr, Thanh Le Van, Vladimir I. Chupakhin, Hugo Ceulemans, Jörg K. Wegner, José Felipe Golib Dzib, Nina Jeliazkova, Yves Vandriessche, Stanislav Böhm, Vojtech Cima, Jan Martinovic, Nigel Greene, Tom Vander Aa, Thomas J. Ashby, Sepp Hochreiter, Ola Engkvist, Günter Klambauer, Hongming Chen

J. Cheminformatics, 2020

2019

ExCAPE-DB: An Integrated Large Scale Dataset Facilitating Big Data Analysis in Chemogenomics.

Jiangming Sun, Nina Jeliazkova, Vladimir I. Chupakhin, José Felipe Golib Dzib, Lars Carlsson, Jörg K. Wegner, Hugo Ceulemans, Ivan Georgiev, Vedrin Jeliazkov, Nikolay T. Kochev, Thomas J. Ashby, Hongming Chen

Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

SMURFF: A High-Performance Framework for Matrix Factorization Methods.

Tom Vander Aa, Imen Chakroun, Tom Ashby, Jaak Simm, Adam Arany, Yves Moreau, Thanh Le Van, José Felipe Golib Dzib, Jörg K. Wegner, Vladimir I. Chupakhin, Hugo Ceulemans, Roel Wuyts, Wilfried Verachtert

Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

2018

HyperLoom: A Platform for Defining and Executing Scientific Pipelines in Distributed Environments.

Vojtech Cima, Stanislav Böhm, Jan Martinovic, Jiri Dvorský, Katerina Janurová, Tom Vander Aa, Thomas J. Ashby, Vladimir I. Chupakhin

Proceedings of the 9th Workshop on Parallel Programming and RunTime Management Techniques for Manycore Architectures and 7th Workshop on Design Tools and Architectures for Multicore Embedded Computing Platforms, 2018

2017

Erratum to: ExCAPE-DB: an integrated large scale dataset facilitating Big Data analysis in chemogenomics.

Jiangming Sun, Nina Jeliazkova, Vladimir I. Chupakhin, José Felipe Golib Dzib, Ola Engkvist, Lars Carlsson, Jörg K. Wegner, Hugo Ceulemans, Ivan Georgiev, Vedrin Jeliazkov, Nikolay T. Kochev, Thomas J. Ashby, Hongming Chen

J. Cheminformatics, 2017

ExCAPE-DB: an integrated large scale dataset facilitating Big Data analysis in chemogenomics.

Jiangming Sun, Nina Jeliazkova, Vladimir I. Chupakhin, José Felipe Golib Dzib, Ola Engkvist, Lars Carlsson, Jörg K. Wegner, Hugo Ceulemans, Ivan Georgiev, Vedrin Jeliazkov, Nikolay T. Kochev, Thomas J. Ashby, Hongming Chen

J. Cheminformatics, 2017

Macau: Scalable Bayesian factorization with high-dimensional side information using MCMC.

Jaak Simm, Adam Arany, Pooya Zakeri, Tom Haber, Jörg K. Wegner, Vladimir I. Chupakhin, Hugo Ceulemans, Yves Moreau

Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

HyperLoom Possibilities for Executing Scientific Workflows on the Cloud.

Vojtech Cima, Stanislav Böhm, Jan Martinovic, Jiri Dvorský, Thomas J. Ashby, Vladimir I. Chupakhin

Proceedings of the Complex, Intelligent, and Software Intensive Systems, 2017

2013

Predicting Ligand Binding Modes from Neural Networks Trained on Protein-Ligand Interaction Fingerprints.

Vladimir I. Chupakhin, Gilles Marcou, Igor I. Baskin, Alexandre Varnek, Didier Rognan

J. Chem. Inf. Model., 2013

2010

Ionotropic GABA receptors: modelling and design of selective ligands.

Vladimir A. Palyulin, Eugene V. Radchenko, Dmitry I. Osolodkin, Vladimir I. Chupakhin, Nikolai S. Zefirov

J. Cheminformatics, 2010