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A compositional data model to predict the isotope distribution for average peptides using a compositional spline model.

2023-05-30

Abstract excerpt

We propose an updated approach for approximating the isotope distribution of average peptides given their monoisotopic mass. Our methodology involves in-silico cleavage of the entire UNIPROT database of Human reviewed proteins using Trypsin, generating a theoretical peptide dataset. The isotope distribution is computed using BRAIN. We apply a compositional data modelling strategy that utilizes an additive log-rati...

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Literature Corpus work
0fe52351-f9f6-54e0-8a4b-d72a2873274a
DOI
10.22541/au.168545541.13618587/v1
Open publication

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A compositional data model to predict the isotope distribution for average peptides using a compositional spline model.DOI 10.22541/au.168545541.13618587/v1
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