Stanislav Mazurenko

According to our database, Stanislav Mazurenko authored at least 15 papers between 2017 and 2025.

Collaborative distances:

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

2025

Anticipating protein evolution with successor sequence predictor.

Rayyan T. Khan, Pavel Kohout, Milos Musil, Monika Rosinska, Jirí Damborský, Stanislav Mazurenko, David Bednar

J. Cheminformatics, December, 2025

Learning to engineer protein flexibility.

Petr Kouba, Joan Planas-Iglesias, Jirí Damborský, Jirí Sedlár, Stanislav Mazurenko, Josef Sivic

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Large-scale annotation of biochemically relevant pockets and tunnels in cognate enzyme-ligand complexes.

Ondrej Vavra, Jonathan D. Tyzack, Farzan Haddadi, Jan Stourac, Jirí Damborský, Stanislav Mazurenko, Janet M. Thornton, David Bednar

J. Cheminformatics, December, 2024

A computational workflow for analysis of missense mutations in precision oncology.

Rayyan T. Khan, Petra Pokorna, Jan Stourac, Simeon Borko, Ihor Arefiev, Joan Planas-Iglesias, Adam Dobias, Gaspar R. P. Pinto, Veronika Szotkowska, Jaroslav Sterba, Ondrej Slaby, Jirí Damborský, Stanislav Mazurenko, David Bednar

J. Cheminformatics, December, 2024

Revealing data leakage in protein interaction benchmarks.

Anton Bushuiev, Roman Bushuiev, Jirí Sedlár, Tomás Pluskal, Jirí Damborský, Stanislav Mazurenko, Josef Sivic

CoRR, 2024

Response to Letter to Editor by A. Derbalah et al.: the role of automation in enhancing reproducibility and interoperability of PBPK models.

Elena Domínguez Romero, Stanislav Mazurenko, Martin Scheringer, Vítor A. P. Martins dos Santos, Chris T. A. Evelo, Mihail Anton, John M. Hancock, Anze Zupanic, María Suárez-Diez

Briefings Bioinform., 2024

Making PBPK models more reproducible in practice.

Elena Domínguez Romero, Stanislav Mazurenko, Martin Scheringer, Vítor A. P. Martins dos Santos, Chris T. A. Evelo, Mihail Anton, John M. Hancock, Anze Zupanic, María Suárez-Diez

Briefings Bioinform., 2024

Learning to design protein-protein interactions with enhanced generalization.

Anton Bushuiev, Roman Bushuiev, Petr Kouba, Anatolii Filkin, Marketa Gabrielova, Michal Gabriel, Jirí Sedlár, Tomás Pluskal, Jirí Damborský, Stanislav Mazurenko, Josef Sivic

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

PredictONCO: a web tool supporting decision-making in precision oncology by extending the bioinformatics predictions with advanced computing and machine learning.

Jan Stourac, Simeon Borko, Rayyan T. Khan, Petra Pokorna, Adam Dobias, Joan Planas-Iglesias, Stanislav Mazurenko, Gaspar R. P. Pinto, Veronika Szotkowska, Jaroslav Sterba, Ondrej Slaby, Jirí Damborský, David Bednar

Briefings Bioinform., November, 2023

2022

CalFitter 2.0: Leveraging the power of singular value decomposition to analyse protein thermostability.

Antonin Kunka, David Lacko, Jan Stourac, Jirí Damborský, Zbynek Prokop, Stanislav Mazurenko

Nucleic Acids Res., 2022

2021

FireProtDB: database of manually curated protein stability data.

Jan Stourac, Juraj Dubrava, Milos Musil, Jana Horackova, Jirí Damborský, Stanislav Mazurenko, David Bednar

Nucleic Acids Res., 2021

2019

Acceleration and Global Convergence of a First-Order Primal-Dual Method for Nonconvex Problems.

Christian Clason, Stanislav Mazurenko, Tuomo Valkonen

SIAM J. Optim., 2019

Primal-dual block-proximal splitting for a class of non-convex problems.

Stanislav Mazurenko, Jyrki Jauhiainen, Tuomo Valkonen

CoRR, 2019

2018

CalFitter: a web server for analysis of protein thermal denaturation data.

Stanislav Mazurenko, Jan Stourac, Antonin Kunka, Sava Nedeljkovic, David Bednar, Zbynek Prokop, Jirí Damborský

Nucleic Acids Res., 2018

2017

Multi-Enzyme Pathway Optimisation Through Star-Shaped Reachable Sets.

Stanislav Mazurenko, Jirí Damborský, Zbynek Prokop

Proceedings of the 11th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2017