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2019 2
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Machine-designed biotherapeutics: opportunities, feasibility and advantages of deep learning in computational antibody discovery.
Wilman W, Wróbel S, Bielska W, Deszynski P, Dudzic P, Jaszczyszyn I, Kaniewski J, Młokosiewicz J, Rouyan A, Satława T, Kumar S, Greiff V, Krawczyk K. Wilman W, et al. Among authors: wrobel s. Brief Bioinform. 2022 Jul 18;23(4):bbac267. doi: 10.1093/bib/bbac267. Brief Bioinform. 2022. PMID: 35830864 Free PMC article. Review.
Structural modeling of antibody variable regions using deep learning-progress and perspectives on drug discovery.
Jaszczyszyn I, Bielska W, Gawlowski T, Dudzic P, Satława T, Kończak J, Wilman W, Janusz B, Wróbel S, Chomicz D, Galson JD, Leem J, Kelm S, Krawczyk K. Jaszczyszyn I, et al. Among authors: wrobel s. Front Mol Biosci. 2023 Jul 7;10:1214424. doi: 10.3389/fmolb.2023.1214424. eCollection 2023. Front Mol Biosci. 2023. PMID: 37484529 Free PMC article. Review.
Benchmarking antibody clustering methods using sequence, structural, and machine learning similarity measures for antibody discovery applications.
Chomicz D, Kończak J, Wróbel S, Satława T, Dudzic P, Janusz B, Tarkowski M, Deszyński P, Gawłowski T, Kostyn A, Orłowski M, Klaus T, Schulte L, Martin K, Comeau SR, Krawczyk K. Chomicz D, et al. Among authors: wrobel s. Front Mol Biosci. 2024 Mar 28;11:1352508. doi: 10.3389/fmolb.2024.1352508. eCollection 2024. Front Mol Biosci. 2024. PMID: 38606289 Free PMC article.