AIomics: Exploring More of the Proteome Using Mass Spectral Libraries Extended by Artificial Intelligence.

ABSTRACT: The unbounded permutations of biological molecules, including proteins and their constituent peptides, present a dilemma in identifying the components of complex biosamples. Sequence search algorithms used to identify peptide spectra can be expanded to cover larger classes of molecules, including more modifications, isoforms, and atypical cleavage, but at the cost of false positives or false negatives due to the simplified spectra they compute from sequence records. Spectral library searching can help solve this issue by precisely matching experimental spectra to library spectra with excellent sensitivity and specificity. However, compiling spectral libraries that span entire proteomes is pragmatically difficult. Neural networks that predict complete spectra containing a full range of anno

SUBMITTER: Geer LY 

PROVIDER: S-EPMC10542943 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature