Výsledky vyhledávání - "Damborský, Jiři"

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Learning to engineer protein flexibility

Autor: Kouba, Petr, Planas-Iglesias, Joan, Damborsky, Jiri, Sedlar, Jiri, Mazurenko, Stanislav, Sivic, Josef

Generative machine learning models are increasingly being used to design novel proteins for therapeutic and biotechnological applications. However, the current methods mostly focus on the design of proteins with a fixed backbone structure, which lead

Externí odkaz: http://arxiv.org/abs/2412.18275

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Revealing data leakage in protein interaction benchmarks

Autor: Bushuiev, Anton, Bushuiev, Roman, Sedlar, Jiri, Pluskal, Tomas, Damborsky, Jiri, Mazurenko, Stanislav, Sivic, Josef

In recent years, there has been remarkable progress in machine learning for protein-protein interactions. However, prior work has predominantly focused on improving learning algorithms, with less attention paid to evaluation strategies and data prepa

Externí odkaz: http://arxiv.org/abs/2404.10457

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Learning to design protein-protein interactions with enhanced generalization

Autor: Bushuiev, Anton, Bushuiev, Roman, Kouba, Petr, Filkin, Anatolii, Gabrielova, Marketa, Gabriel, Michal, Sedlar, Jiri, Pluskal, Tomas, Damborsky, Jiri, Mazurenko, Stanislav, Sivic, Josef

Discovering mutations enhancing protein-protein interactions (PPIs) is critical for advancing biomedical research and developing improved therapeutics. While machine learning approaches have substantially advanced the field, they often struggle to ge

Externí odkaz: http://arxiv.org/abs/2310.18515

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