Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Tadeusz Satława"'
Autor:
Pawel Dudzic, Dawid Chomicz, Jarosław Kończak, Tadeusz Satława, Bartosz Janusz, Sonia Wrobel, Tomasz Gawłowski, Igor Jaszczyszyn, Weronika Bielska, Samuel Demharter, Roberto Spreafico, Lukas Schulte, Kyle Martin, Stephen R. Comeau, Konrad Krawczyk
Publikováno v:
mAbs, Vol 16, Iss 1 (2024)
The naïve human antibody repertoire has theoretical access to an estimated > 1015 antibodies. Identifying subsets of this prohibitively large space where therapeutically relevant antibodies may be found is useful for development of these agents. It
Externí odkaz:
https://doaj.org/article/7c74ae2f3b3c4564ab5b22c1be596002
Autor:
Dawid Chomicz, Jarosław Kończak, Sonia Wróbel, Tadeusz Satława, Paweł Dudzic, Bartosz Janusz, Mateusz Tarkowski, Piotr Deszyński, Tomasz Gawłowski, Anna Kostyn, Marek Orłowski, Tomasz Klaus, Lukas Schulte, Kyle Martin, Stephen R. Comeau, Konrad Krawczyk
Publikováno v:
Frontiers in Molecular Biosciences, Vol 11 (2024)
Antibodies are proteins produced by our immune system that have been harnessed as biotherapeutics. The discovery of antibody-based therapeutics relies on analyzing large volumes of diverse sequences coming from phage display or animal immunizations.
Externí odkaz:
https://doaj.org/article/bea9fd2ccdc045aba644a4813da35455
Autor:
Tadeusz Satława, Mateusz Tarkowski, Sonia Wróbel, Paweł Dudzic, Tomasz Gawłowski, Tomasz Klaus, Marek Orłowski, Anna Kostyn, Sandeep Kumar, Andrew Buchanan, Konrad Krawczyk
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 3, p e1011881 (2024)
Antibody-based therapeutics must not undergo chemical modifications that would impair their efficacy or hinder their developability. A commonly used technique to de-risk lead biotherapeutic candidates annotates chemical liability motifs on their sequ
Externí odkaz:
https://doaj.org/article/cff3dcbea5874d0a8c29f6bd8aadeb8d
Autor:
Igor Jaszczyszyn, Weronika Bielska, Tomasz Gawlowski, Pawel Dudzic, Tadeusz Satława, Jarosław Kończak, Wiktoria Wilman, Bartosz Janusz, Sonia Wróbel, Dawid Chomicz, Jacob D. Galson, Jinwoo Leem, Sebastian Kelm, Konrad Krawczyk
Publikováno v:
Frontiers in Molecular Biosciences, Vol 10 (2023)
AlphaFold2 has hallmarked a generational improvement in protein structure prediction. In particular, advances in antibody structure prediction have provided a highly translatable impact on drug discovery. Though AlphaFold2 laid the groundwork for all
Externí odkaz:
https://doaj.org/article/b9bf830784aa46f6b4415c0e2d6b8f50
Autor:
Jarosław Kończak, Bartosz Janusz, Jakub Młokosiewicz, Tadeusz Satława, Sonia Wróbel, Paweł Dudzic, Konrad Krawczyk
Protein folding problem obtained a practical solution recently, owing to advances in deep learning. There are classes of proteins though, such as antibodies, that are structurally unique, where the general solution still lacks. In particular, the pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef2f28d84ff59c0c40f7e7e1c37ecf4e
https://doi.org/10.1101/2022.12.06.519288
https://doi.org/10.1101/2022.12.06.519288
Autor:
Wiktoria Wilman, Sonia Wróbel, Weronika Bielska, Piotr Deszynski, Paweł Dudzic, Igor Jaszczyszyn, Jędrzej Kaniewski, Jakub Młokosiewicz, Anahita Rouyan, Tadeusz Satława, Sandeep Kumar, Victor Greiff, Konrad Krawczyk
Publikováno v:
Briefings in Bioinformatics. 23
Antibodies are versatile molecular binders with an established and growing role as therapeutics. Computational approaches to developing and designing these molecules are being increasingly used to complement traditional lab-based processes. Nowadays,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96c4a7c73c8212cbd0aa02cce955994d
https://doi.org/10.1093/bib/bbac267
https://doi.org/10.1093/bib/bbac267
Autor:
Michal K. Grzeszczyk, Tadeusz Satława, Angela Lungu, Andrew Swift, Andrew Narracott, Rod Hose, Tomasz Trzcinski, Arkadiusz Sitek
Publikováno v:
Computational Science – ICCS 2022 ISBN: 9783031087561
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49875da5826a36370d958d35ad825ed3
https://doi.org/10.1007/978-3-031-08757-8_2
https://doi.org/10.1007/978-3-031-08757-8_2
Publikováno v:
ipc. 18:101-108
This work presents analysis of chromatographic signal used to identify substances in samples. First part consists of chromatography overview and description of three classification methods (neural network with backpropagation, probabilistic neural ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e47c3b7d610f477bd7ca69c9f06f657b
https://doi.org/10.2478/v10248-012-0084-1
https://doi.org/10.2478/v10248-012-0084-1