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pro vyhledávání: '"Rachel Schibler"'
Autor:
Ian Kerman, Yi Cong Zhao, Xingyao Chen, Reza Sadeghi, Yi-Chieh Wu, Rachel Schibler, Naim Matasci, Thomas Dougherty, Chan Hong
Antibodies are prominent therapeutic agents but costly to develop. Existing approaches to predict developability depend on structure, which requires expensive laboratory or computational work to obtain. To address this issue, we present a machine lea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34fbfd90b33d69423d1cceafa39b9649
https://doi.org/10.1101/2020.06.18.159798
https://doi.org/10.1101/2020.06.18.159798