Journal
BIOANALYSIS
Volume 15, Issue 21, Pages 1315-1325Publisher
Newlands Press Ltd
DOI: 10.4155/bio-2023-0102
Keywords
bioinformatics; data analysis; data integration peptidomics
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Bioinformatics plays a critical role in advancing peptidomics by providing powerful tools for accelerating peptide discovery, understanding their functions, and gaining insights into complex molecular interactions.
Bioinformatics plays a critical role in the advancement of peptidomics by providing powerful tools for data analysis, interpretation and integration. Peptidomics is concerned with the study of peptides, short chains of amino acids with diverse biological functions. This area includes peptide identification and characterization, database construction, de novo sequencing, functional annotation, omics data integration and systems biology. Artificial intelligence techniques, such as machine learning and natural language processing, aid in the interpretation of peptide sequence data and the generation of biological insights. By using bioinformatics approaches, peptidomics researchers can accelerate peptide discovery, understand their functions and gain insights into complex molecular interactions.
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