Confidence Metrics for Identification of Proteins, Post-translational Modifications (PTMs) and Proteoforms

摘要

Our method produces scores which quantify the likelihood of a proteoform being present in a given sample. The scoring system effectively differentiates between proteoforms with and without the correct protein sequence and identifies combinatorial PTMs. However, simulations show that the true most abundant proteoform may be difficult to distinguish statistically from related proteoforms, which may not even be present in the sample. Better proteoform identification scoring metrics are needed to differentiate between related proteoforms. This work lays the foundation for creation of a better identification scoring metric. The bootstrapping method produces confidence metrics that facilitate comparison of results from different experiments, even if they employ different analysis method.