{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Wang Y"],"funding":["National Natural Science Foundation of China"],"pagination":["E122"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC6406841"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["8(2)"],"pubmed_abstract":["Many life activities and key functions in organisms are maintained by different types of protein⁻protein interactions (PPIs). In order to accelerate the discovery of PPIs for different species, many computational methods have been developed. Unfortunately, even though computational methods are constantly evolving, efficient methods for predicting PPIs from protein sequence information have not been found for many years due to limiting factors including both methodology and technology. Inspired by the similarity of biological sequences and languages, developing a biological language processing technology may provide a brand new theoretical perspective and feasible method for the study of biological sequences. In this paper, a pure biological language processing model is proposed for predict"],"journal":["Cells"],"pubmed_title":["A High Efficient Biological Language Model for Predicting Protein⁻Protein Interactions."],"pmcid":["PMC6406841"],"funding_grant_id":["61572506"],"pubmed_authors":["Li X","Jiang TH","Wang Y","Yang S","Zhou X","You ZH"],"additional_accession":[]},"is_claimable":false,"name":"A High Efficient Biological Language Model for Predicting Protein⁻Protein Interactions.","description":"Many life activities and key functions in organisms are maintained by different types of protein⁻protein interactions (PPIs). In order to accelerate the discovery of PPIs for different species, many computational methods have been developed. Unfortunately, even though computational methods are constantly evolving, efficient methods for predicting PPIs from protein sequence information have not been found for many years due to limiting factors including both methodology and technology. Inspired by the similarity of biological sequences and languages, developing a biological language processing technology may provide a brand new theoretical perspective and feasible method for the study of biological sequences. In this paper, a pure biological language processing model is proposed for predict","dates":{"release":"2019-01-01T00:00:00Z","publication":"2019 Feb","modification":"2025-04-20T00:55:58.151Z","creation":"2019-08-04T07:23:07Z"},"accession":"S-EPMC6406841","cross_references":{"pubmed":["30717470"],"doi":["10.3390/cells8020122"]}}