Machine-designed biotherapeutics: opportunities, feasibility and advantages of deep learning in computational antibody discovery

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, in silico methods fill multiple elements of the d...

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Detalles Bibliográficos
Autores principales: Wilman, Wiktoria, Wróbel, Sonia, Bielska, Weronika, Deszynski, Piotr, Dudzic, Paweł, Jaszczyszyn, Igor, Kaniewski, Jędrzej, Młokosiewicz, Jakub, Rouyan, Anahita, Satława, Tadeusz, Kumar, Sandeep, Greiff, Victor, Krawczyk, Konrad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9294429/
https://www.ncbi.nlm.nih.gov/pubmed/35830864
http://dx.doi.org/10.1093/bib/bbac267

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9294429/
https://www.ncbi.nlm.nih.gov/pubmed/35830864
http://dx.doi.org/10.1093/bib/bbac267

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