Real or fake? Measuring the impact of protein annotation errors on estimates of domain gain and loss events.

ABSTRACT: Protein annotation errors can have significant consequences in a wide range of fields, ranging from protein structure and function prediction to biomedical research, drug discovery, and biotechnology. By comparing the domains of different proteins, scientists can identify common domains, classify proteins based on their domain architecture, and highlight proteins that have evolved differently in one or more species or clades. However, genome-wide identification of different protein domain architectures involves a complex error-prone pipeline that includes genome sequencing, prediction of gene exon/intron structures, and inference of protein sequences and domain annotations. Here we developed an automated fact-checking approach to distinguish true domain loss/gain events from false events c

SUBMITTER: Kress A 

PROVIDER: S-EPMC10158824 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature