Protein asparagine deamidation prediction based on structures with machine learning methods
نویسندگان
چکیده
منابع مشابه
Protein asparagine deamidation prediction based on structures with machine learning methods
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 residues would allow their elimination or reductio...
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The 'protein world' exhibits additional complexity caused by post-translational modifications. One such process is nonenzymic deamidation of asparagine which is controlled partly by primary sequence, but also higher order protein structure. We have studied the deamidation of an N-terminal peptide in muscle glyceraldehyde 3-phosphate dehydrogenase to relate three-dimensional structure, proteolys...
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ژورنال
عنوان ژورنال: PLOS ONE
سال: 2017
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0181347