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Charge and hydrophobicity are key features in sequence-trained machine learning models for predicting the biophysical properties of clinical-stage antibodies
View ORCID ProfileMax Hebditch, View ORCID ProfileJim Warwicker
doi: https://doi.org/10.1101/625830
Max Hebditch
1School of Chemistry, Manchester Institute of Biotechnology, The University of Manchester, 131 Princess Street, Manchester, M1 7DN,
Jim Warwicker
1School of Chemistry, Manchester Institute of Biotechnology, The University of Manchester, 131 Princess Street, Manchester, M1 7DN,
Posted August 28, 2019.
Charge and hydrophobicity are key features in sequence-trained machine learning models for predicting the biophysical properties of clinical-stage antibodies
Max Hebditch, Jim Warwicker
bioRxiv 625830; doi: https://doi.org/10.1101/625830
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