Protein asparagine deamidation prediction based on structures with machine learning methods
Protein asparagine deamidation prediction based on structures with machine learning methods
About this item
Full title
Author / Creator
Jia, Lei and Sun, Yaxiong
Publisher
United States: Public Library of Science
Journal title
Language
English
Formats
Publication information
Publisher
United States: Public Library of Science
Subjects
More information
Scope and Contents
Contents
Chemical stability is a major concern in the development of protein therapeutics due to its impact on both efficacy and safety. Protein "hotspots" are amino acid residues that are subject to various chemical modifications, including deamidation, isomerization, glycosylation, oxidation etc. A more accurate prediction method for potential hotspot res...
Alternative Titles
Full title
Protein asparagine deamidation prediction based on structures with machine learning methods
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_plos_journals_1922176765
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1922176765
Other Identifiers
ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0181347