{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["25(1)"],"submitter":["Huang J"],"pubmed_abstract":["<h4>Background</h4>Protein residue-residue distance maps are used for remote homology detection, protein information estimation, and protein structure research. However, existing prediction approaches are time-consuming, and hundreds of millions of proteins are discovered each year, necessitating the development of a rapid and reliable prediction method for protein residue-residue distances. Moreover, because many proteins lack known homologous sequences, a waiting-free and alignment-free deep learning method is needed.<h4>Result</h4>In this study, we propose a learning framework named FreeProtMap. In terms of protein representation processing, the proposed group pooling in FreeProtMap effectively mitigates issues arising from high-dimensional sparseness in protein representation. In terms"],"journal":["BMC bioinformatics"],"pagination":["176"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11069170"],"repository":["biostudies-literature"],"pubmed_title":["Freeprotmap: waiting-free prediction method for protein distance map."],"pmcid":["PMC11069170"],"pubmed_authors":["Tang J","Chen Q","Li J","Huang J","Chen G","Wang X"],"additional_accession":[]},"is_claimable":false,"name":"Freeprotmap: waiting-free prediction method for protein distance map.","description":"<h4>Background</h4>Protein residue-residue distance maps are used for remote homology detection, protein information estimation, and protein structure research. However, existing prediction approaches are time-consuming, and hundreds of millions of proteins are discovered each year, necessitating the development of a rapid and reliable prediction method for protein residue-residue distances. Moreover, because many proteins lack known homologous sequences, a waiting-free and alignment-free deep learning method is needed.<h4>Result</h4>In this study, we propose a learning framework named FreeProtMap. In terms of protein representation processing, the proposed group pooling in FreeProtMap effectively mitigates issues arising from high-dimensional sparseness in protein representation. In terms","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 May","modification":"2026-06-03T03:54:13.474Z","creation":"2026-04-24T03:09:21.66Z"},"accession":"S-EPMC11069170","cross_references":{"pubmed":["38704533"],"doi":["10.1186/s12859-024-05771-0"]}}