GO2Sum: Generating Human Readable Functional Summary of Proteins from GO Terms.

ABSTRACT: Understanding the biological functions of proteins is of fundamental importance in modern biology. To represent function of proteins, Gene Ontology (GO), a controlled vocabulary, is frequently used, because it is easy to handle by computer programs avoiding open-ended text interpretation. Particularly, the majority of current protein function prediction methods rely on GO terms. However, the extensive list of GO terms that describe a protein function can pose challenges for biologists when it comes to interpretation. In response to this issue, we developed GO2Sum (Gene Ontology terms Summarizer), a model that takes a set of GO terms as input and generates a human-readable summary using the T5 large language model. GO2Sum was developed by fine-tuning T5 on GO term assignments and free-text

SUBMITTER: Giri SJ 

PROVIDER: S-EPMC10680659 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature