Progress and challenges for the machine learning-based design of fit-for-purpose monoclonal antibodies
mAbs, 2022, Vol.14 (1), p.2008790-2008790 [Peer Reviewed Journal]2022 The Author(s). Published with license by Taylor & Francis Group, LLC. 2022 ;info:eu-repo/semantics/openAccess ;2022 The Author(s). Published with license by Taylor & Francis Group, LLC. 2022 The Author(s) ;ISSN: 1942-0862 ;EISSN: 1942-0870 ;DOI: 10.1080/19420862.2021.2008790 ;PMID: 35293269
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