DeepDigest: prediction of protein proteolytic digestion with deep learning
Proteolytic digestion of proteins by one or more proteases is a key step in shotgun
proteomics, in which the proteolytic products, ie, peptides, are taken as the surrogates of …
proteomics, in which the proteolytic products, ie, peptides, are taken as the surrogates of …
ProteaseGuru: a tool for protease selection in bottom-up proteomics
RM Miller, K Ibrahim, LM Smith - Journal of proteome research, 2021 - ACS Publications
Bottom-up proteomics is currently the dominant strategy for proteome analysis. It relies
critically upon the use of a protease to digest proteins into peptides, which are then identified …
critically upon the use of a protease to digest proteins into peptides, which are then identified …
Harvesting bioactive peptides from sustainable protein sources: Unveiling technological and functional properties through in silico analyses
Bioactive peptides, usually characterized by short amino acid sequences, are functional
components obtained from precursor proteins by enzymatic, chemical, or other processing …
components obtained from precursor proteins by enzymatic, chemical, or other processing …
Leveraging Pretrained Deep Protein Language Model to Predict Peptide Collision Cross Section
Collision cross section (CCS) of peptide ions provides an important separation dimension in
liquid chromatography/tandem mass spectrometry-based proteomics that incorporates ion …
liquid chromatography/tandem mass spectrometry-based proteomics that incorporates ion …