Beyond protein lists: AI-assisted interpretation of proteomic investigations in the context of evolving scientific knowledge.

Abstract

Mass spectrometry-based proteomics provides broad and quantitative detection of the proteome, but its results are mostly presented as protein lists. Artificial intelligence approaches will exploit prior knowledge from literature and harmonize fragmented datasets to enable mechanistic and functional interpretation of proteomics experiments.