Improved global protein homolog detection with major gains in function identification.

ABSTRACT: There are several hundred million protein sequences, but the relationships among them are not fully available from existing homolog detection methods. There is an essential need for an improved method to push homolog detection to lower levels of sequence identity. The method used here relies on a language model to represent proteins numerically in a matrix (an embedding) and uses discrete cosine transforms to compress the data to extract the most essential part, significantly reducing the data size. This PRotein Ortholog Search Tool (PROST) is significantly faster with linear runtimes, and most importantly, computes the distances between pairs of protein sequences to yield homologs at significantly lower levels of sequence identity than previously. The extent of allosteric effects in prote

SUBMITTER: Kilinc M 

PROVIDER: S-EPMC9992864 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature