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David Hoksza

Showing results (21-30 of 39) with videos related to

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Bioinformatics (Oxford, England)|May 11, 2019
MINERVA API and plugins: opening molecular network analysis and visualization to the communityDavid Hoksza, Piotr Gawron, Marek Ostaszewski, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 5, 2019
Machine Learning to Support the Presentation of Complex Pathway GraphsSune S Nielsen, Marek Ostaszewski, Fintan McGee, et al.
Bioinformatics (Oxford, England)|December 18, 2024
CryptoBench: cryptic protein-ligand binding sites dataset and benchmarkVít Škrhák, Marian Novotný, Christos P Feidakis, et al.
Nucleic Acids Research|May 19, 2025
PrankWeb 4: a modular web server for protein-ligand binding site prediction and downstream analysisLukáš Polák, Petr Škoda, Kamila Riedlová, et al.
Journal of Molecular Biology|January 8, 2026
Exornata: a web-based editor for the visualization and editing of RNA secondary structuresCaeden Meade, Biswajit Banerjee, Yuzheng Yang, et al.
Biorxiv : the Preprint Server for Biology|January 16, 2026
Protein Language Models and Structure-Based Machine Learning for Prediction of Allosteric Binding Sites in Protein Kinases: An Explainable AI Framework Grounded in Energy Landscape-Encoded FrustrationKamila Riedlová, Vít Škrhák, Will Gatlin, et al.
Database : the Journal of Biological Databases and Curation|April 30, 2019
rPredictorDB: a predictive database of individual secondary structures of RNAs and their formatted plotsJan Jelínek, David Hoksza, Jan Hajič, et al.
Journal of Chemical Theory and Computation|May 7, 2026
Predicting and Decoding Allosteric Binding Sites Using Protein Language Models and Structure-Based Machine Learning: An Energy Landscape-Guided Explainable AI FrameworkKamila Riedlová, Vít Škrhák, William G Gatlin, et al.
Biorxiv : the Preprint Server for Biology|March 26, 2026
Decoding Allosteric Grammar with Explainable AI Integrating Protein Language Models and Energy Landscape Analysis: Neutral Frustration at Allosteric Binding Sites Encodes Regulatory Versatility in Protein KinasesWill Gatlin, Max Ludwick, Lucas Turano, et al.
Brain : a Journal of Neurology|October 18, 2022
Delineation of functionally essential protein regions for 242 neurodevelopmental genesSumaiya Iqbal, Tobias Brünger, Eduardo Pérez-Palma, et al.
Pageof 4

Showing results (21-30 of 39) with videos related to

Sort By:
Pageof 4
Bioinformatics (Oxford, England)|May 11, 2019
MINERVA API and plugins: opening molecular network analysis and visualization to the communityDavid Hoksza, Piotr Gawron, Marek Ostaszewski, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 5, 2019
Machine Learning to Support the Presentation of Complex Pathway GraphsSune S Nielsen, Marek Ostaszewski, Fintan McGee, et al.
Bioinformatics (Oxford, England)|December 18, 2024
CryptoBench: cryptic protein-ligand binding sites dataset and benchmarkVít Škrhák, Marian Novotný, Christos P Feidakis, et al.
Nucleic Acids Research|May 19, 2025
PrankWeb 4: a modular web server for protein-ligand binding site prediction and downstream analysisLukáš Polák, Petr Škoda, Kamila Riedlová, et al.
Journal of Molecular Biology|January 8, 2026
Exornata: a web-based editor for the visualization and editing of RNA secondary structuresCaeden Meade, Biswajit Banerjee, Yuzheng Yang, et al.
Biorxiv : the Preprint Server for Biology|January 16, 2026
Protein Language Models and Structure-Based Machine Learning for Prediction of Allosteric Binding Sites in Protein Kinases: An Explainable AI Framework Grounded in Energy Landscape-Encoded FrustrationKamila Riedlová, Vít Škrhák, Will Gatlin, et al.
Database : the Journal of Biological Databases and Curation|April 30, 2019
rPredictorDB: a predictive database of individual secondary structures of RNAs and their formatted plotsJan Jelínek, David Hoksza, Jan Hajič, et al.
Journal of Chemical Theory and Computation|May 7, 2026
Predicting and Decoding Allosteric Binding Sites Using Protein Language Models and Structure-Based Machine Learning: An Energy Landscape-Guided Explainable AI FrameworkKamila Riedlová, Vít Škrhák, William G Gatlin, et al.
Biorxiv : the Preprint Server for Biology|March 26, 2026
Decoding Allosteric Grammar with Explainable AI Integrating Protein Language Models and Energy Landscape Analysis: Neutral Frustration at Allosteric Binding Sites Encodes Regulatory Versatility in Protein KinasesWill Gatlin, Max Ludwick, Lucas Turano, et al.
Brain : a Journal of Neurology|October 18, 2022
Delineation of functionally essential protein regions for 242 neurodevelopmental genesSumaiya Iqbal, Tobias Brünger, Eduardo Pérez-Palma, et al.
Pageof 4