{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/afdp-an-automated-function-description","title":"AFDP: An Automated Function Description Prediction Approach to Improve Accuracy of Protein Function Predictions","arxiv_id":"1910.06965","date":"2019-10-15","proceeding":null,"authors":[],"abstract":"With the rapid growth in high-throughput biological sequencing technologies\nand subsequently the amount of produced omics data, it is essential to develop\nautomated methods to annotate the functionality of unknown genes and proteins.\nThere are developed tools such as AHRD applying known proteins characterization\nto annotate unknown ones. Some other algorithms such as eggNOG apply\northologous groups of proteins to detect the most probable function. However,\nwhile the available tools focus on the detection of the most similar\ncharacterization, they are not able to generalize and integrate information\nfrom multiple homologs while maintaining accuracy. Here, we devise AFDP, an\nintegrated approach for protein function prediction which benefits from the\ncombination of two available tools, AHRD and eggNOG, to predict the\nfunctionality of novel proteins and produce more precise human readable\ndescriptions by applying our stCFExt algorithm. StCFExt creates function\ndescriptions applying available manually curated descriptions in swiss-prot.\nUsing a benchmark dataset we show that the annotations predicted by our\napproach are more accurate than eggNOG and AHRD annotations.","url_abs":"http://arxiv.org/abs/1910.06965v1","url_pdf":"http://arxiv.org/pdf/1910.06965v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"afdp-an-automated-function-description","repo_url":"https://github.com/samiscoding/stCFExt","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"protein-function-prediction","task_name":"Protein Function Prediction"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}