Assessing structure and disorder prediction tools for de novo emerged proteins in the age of machine learning.

ABSTRACT: Background: De novo protein coding genes emerge from scratch in the non-coding regions of the genome and have, per definition, no homology to other genes. Therefore, their encoded de novo proteins belong to the so-called "dark protein space". So far, only four de novo protein structures have been experimentally approximated. Low homology, presumed high disorder and limited structures result in low confidence structural predictions for de novo proteins in most cases. Here, we look at the most widely used structure and disorder predictors and assess their applicability for de novo emerged proteins. Since AlphaFold2 is based on the generation of multiple sequence alignments and was trained on solved structures of largely conserved and globular protein

SUBMITTER: Aubel M 

PROVIDER: S-EPMC10126731 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature