Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Henriette Capel"'
Autor:
Henriette Capel, Robin Weiler, Maurits Dijkstra, Reinier Vleugels, Peter Bloem, K. Anton Feenstra
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract Self-supervised language modeling is a rapidly developing approach for the analysis of protein sequence data. However, work in this area is heterogeneous and diverse, making comparison of models and methods difficult. Moreover, models are of
Externí odkaz:
https://doaj.org/article/7b91040ffdbc41db983c05a58afbcf44
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-13 (2022)
Abstract Protein protein interactions (PPI) are crucial for protein functioning, nevertheless predicting residues in PPI interfaces from the protein sequence remains a challenging problem. In addition, structure-based functional annotations, such as
Externí odkaz:
https://doaj.org/article/2c5474073036471c867602d2c67e4219
Publikováno v:
Capel, H, Feenstra, K A & Abeln, S 2022, ' Multi-task learning to leverage partially annotated data for PPI interface prediction ', Scientific Reports, vol. 12, 10487, pp. 1-13 . https://doi.org/10.1038/s41598-022-13951-2
Scientific Reports, 12:10487, 1-13. Nature Publishing Group
Scientific Reports, 12:10487, 1-13. Nature Publishing Group
Protein protein interactions (PPI) are crucial for protein functioning, nevertheless predicting residues in PPI interfaces from the protein sequence remains a challenging problem. In addition, structure-based functional annotations, such as the PPI i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b393c241edff05d99ce4e1854c20e9ce
https://hdl.handle.net/1871.1/9e922457-533a-4012-92a7-c334960c0995
https://hdl.handle.net/1871.1/9e922457-533a-4012-92a7-c334960c0995
Autor:
Robin Weiler, Peter Bloem, Maurits Dijkstra, Anton Feenstra, Henriette Capel, Reinier Vleugels
Publikováno v:
Capel, H, Weiler, R, Dijkstra, M, Vleugels, R, Bloem, P & Feenstra, K A 2022, ' ProteinGLUE multi-task benchmark suite for self-supervised protein modeling ', Scientific Reports, vol. 12, 16047, pp. 1-14 . https://doi.org/10.1038/s41598-022-19608-4
Scientific Reports, 12:16047, 1-14. Nature Publishing Group
Scientific Reports, 12:16047, 1-14. Nature Publishing Group
Self-supervised language modeling is a rapidly developing approach for the analysis of protein sequence data. However, work in this area is heterogeneous and diverse, making comparison of models and methods difficult. Moreover, models are often evalu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b9304bd661197d2da97756fb79e56121
https://doi.org/10.21203/rs.3.rs-1181299/v1
https://doi.org/10.21203/rs.3.rs-1181299/v1
Autor:
Henriette Capel, Robin Weiler, Maurits Dijkstra, Reinier Vleugels, Peter Bloem, K. Anton Feenstra
Self-supervised language modeling is a rapidly developing approach for the analysis of protein sequence data. However, work in this area is heterogeneous and diverse, making comparison of models and methods difficult. Moreover, models are often evalu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20030a62d5dcb2aecd8b5ec3c64b684d
https://doi.org/10.1101/2021.12.13.472460
https://doi.org/10.1101/2021.12.13.472460
Autor:
Henriette Capel, Bas Stringer, Reza Haydarlou, Qingzhen Hou, K. Anton Feenstra, Katharina Waury, Sanne Abeln, Jaap Heringa
MotivationAntibodies play an important role in clinical research and biotechnology, with their specificity determined by the interaction with the antigen’s epitope region, as a special type of protein-protein interaction (PPI) interface. The ubiqui
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1802f38b849b3b40698c54e880380521
https://doi.org/10.1101/2020.11.19.390500
https://doi.org/10.1101/2020.11.19.390500