Machine learning overcomes human bias in the discovery of self-assembling peptides
Machine learning overcomes human bias in the discovery of self-assembling peptides
About this item
Full title
Author / Creator
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
Subjects
More information
Scope and Contents
Contents
Peptide materials have a wide array of functions, from tissue engineering and surface coatings to catalysis and sensing. Tuning the sequence of amino acids that comprise the peptide modulates peptide functionality, but a small increase in sequence length leads to a dramatic increase in the number of peptide candidates. Traditionally, peptide design...
Alternative Titles
Full title
Machine learning overcomes human bias in the discovery of self-assembling peptides
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2755009064
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2755009064
Other Identifiers
ISSN
1755-4330
E-ISSN
1755-4349
DOI
10.1038/s41557-022-01055-3