TEMPROT: protein function annotation using transformers embeddings and homology search.

ABSTRACT:

Background

Although the development of sequencing technologies has provided a large number of protein sequences, the analysis of functions that each one plays is still difficult due to the efforts of laboratorial methods, making necessary the usage of computational methods to decrease this gap. As the main source of information available about proteins is their sequences, approaches that can use this information, such as classification based on the patterns of the amino acids and the inference based on sequence similarity using alignment tools, are able to predict a large collection of proteins. The methods available in the literature that use this type of feature can achieve good results, however, they present restrictions of protein length as input to their models. In this work,

SUBMITTER: Oliveira GB 

PROVIDER: S-EPMC10249241 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature