Sequence-Based Viscosity Prediction for Rapid Antibody Engineering
Sequence-Based Viscosity Prediction for Rapid Antibody Engineering
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Publisher
Switzerland: MDPI AG
Journal title
Language
English
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Publisher
Switzerland: MDPI AG
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Scope and Contents
Contents
Through machine learning, identifying correlations between amino acid sequences of antibodies and their observed characteristics, we developed an internal viscosity prediction model to empower the rapid engineering of therapeutic antibody candidates. For a highly viscous anti-IL-13 monoclonal antibody, we used a structure-based rational design stra...
Alternative Titles
Full title
Sequence-Based Viscosity Prediction for Rapid Antibody Engineering
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_219bd2f1841b45528937186404e1c6fe
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_219bd2f1841b45528937186404e1c6fe
Other Identifiers
ISSN
2218-273X
E-ISSN
2218-273X
DOI
10.3390/biom14060617
