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pro vyhledávání: '"Aleksander Winski"'
Autor:
Aleksander Winski, Jan Ludwiczak, Malgorzata Orlowska, Rafal Madaj, Kamil Kaminski, Stanislaw Dunin-Horkawicz
Computational modeling of protein structures that adopt multiple conformations is a challenging task. We propose a procedure for generalizing the knowledge gained from AlphaFold2 models to represent such conformational landscapes. The procedure was a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39d83809192500fe93d0552540618710
https://doi.org/10.1101/2023.05.23.541686
https://doi.org/10.1101/2023.05.23.541686
Publikováno v:
Bioinformatics. 38:2633-2635
Motivation The wealth of protein structures collected in the Protein Data Bank enabled large-scale studies of their function and evolution. Such studies, however, require the generation of customized datasets combining the structural data with miscel
Autor:
Aleksander Winski, Jan Ludwiczak, Vikram Alva, Krzysztof Szczepaniak, Stanislaw Dunin-Horkawicz
Publikováno v:
Bioinformatics. 35:2790-2795
Motivation Coiled coils are protein structural domains that mediate a plethora of biological interactions, and thus their reliable annotation is crucial for studies of protein structure and function. Results Here, we report DeepCoil, a new neural net
Publikováno v:
Journal of Structural Biology. 204:117-124
In protein modelling and design, an understanding of the relationship between sequence and structure is essential. Using parallel, homotetrameric coiled-coil structures as a model system, we demonstrated that machine learning techniques can be used t
Autor:
Stanislaw Dunin-Horkawicz, Antonio Marinho da Silva Neto, Jan Ludwiczak, Krzysztof Szczepaniak, Vikram Alva, Aleksander Winski
Publikováno v:
Scientific Reports, Vol 9, Iss 1, Pp 1-9 (2019)
Scientific Reports
Scientific Reports
Canonical π-helices are short, relatively unstable secondary structure elements found in proteins. They comprise seven or more residues and are present in 15% of all known protein structures, often in functionally important regions such as ligand- a