{"doi":"10.1128/msystems.00019-17","title":"The Protein Interactome of Streptococcus pneumoniae and Bacterial Meta-interactomes Improve Function Predictions","abstract":"<jats:p>Identification of protein interactions in bacterial species can help define the individual roles that proteins play in cellular pathways and pathogenesis. Very few protein interactions have been identified for the important human pathogen<jats:named-content content-type=\"genus-species\">S. pneumoniae</jats:named-content>. We used an experimental approach to identify over 2,000 new protein interactions for<jats:named-content content-type=\"genus-species\">S. pneumoniae</jats:named-content>, the most extensive interactome data for this bacterium to date. To predict protein function, we used our interactome data augmented with interactions from other closely related bacteria. The combination of the experimental data and meta-interactome data significantly improved the prediction results, allowing us to assign possible functions to a large number of poorly characterized proteins.</jats:p>","journal":"mSystems","year":2017,"id":596161,"datarank":0.42498200160843247,"base_score":2.833213344056216,"endowment":2.833213344056216,"self_citation_contribution":0.42498200160843247,"citation_network_contribution":0.0,"self_endowment_contribution":0.42498200160843247,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":16,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1526711,"name":"S. V. Rajagopala","orcid":null,"position":1,"is_corresponding":false},{"id":1526712,"name":"S. M. Blazie","orcid":null,"position":2,"is_corresponding":false},{"id":1526713,"name":"J. R. Parrish","orcid":null,"position":3,"is_corresponding":false},{"id":1526714,"name":"S. Khuri","orcid":null,"position":4,"is_corresponding":false},{"id":1526715,"name":"R. L. Finley","orcid":null,"position":5,"is_corresponding":false},{"id":1526716,"name":"P. Uetz","orcid":null,"position":6,"is_corresponding":false},{"id":1526710,"name":"S. Wuchty","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"The Protein Interactome of Streptococcus pneumoniae and Bacterial Meta-interactomes Improve Function Predictions","abstract":"<jats:p>Identification of protein interactions in bacterial species can help define the individual roles that proteins play in cellular pathways and pathogenesis. Very few protein interactions have been identified for the important human pathogen<jats:named-content content-type=\"genus-species\">S. pneumoniae</jats:named-content>. We used an experimental approach to identify over 2,000 new protein interactions for<jats:named-content content-type=\"genus-species\">S. pneumoniae</jats:named-content>, the most extensive interactome data for this bacterium to date. To predict protein function, we used our interactome data augmented with interactions from other closely related bacteria. The combination of the experimental data and meta-interactome data significantly improved the prediction results, allowing us to assign possible functions to a large number of poorly characterized proteins.</jats:p>","is_dataset_classified":null,"base_score":2.833213344056216,"endowment":2.833213344056216,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"28744484","pmcid":"PMC5513735","openalex_id":"https://openalex.org/W2622356054","authors":[],"funders":[{"funder_name":"NIH","grant_id":"R01GM109895","title":null},{"funder_name":"Natl. Center Research Resources, NIH","grant_id":"Grant RR18327","title":null},{"funder_name":"National Institutes of Health","grant_id":"5R01GM109895-04","title":"Integrative functional mapping of the Escherichia coli membrane interactome"}],"total_grants":3,"fwci":1.3094,"citation_percentile":0.80047255,"influential_citations":0,"citation_trend":[{"year":2018,"count":4},{"year":2020,"count":4},{"year":2021,"count":3},{"year":2022,"count":1},{"year":2023,"count":2},{"year":2025,"count":2}],"oa_status":"gold","license":"cc-by","oa_locations":[{"url":"https://msystems.asm.org/content/msys/2/3/e00019-17.full.pdf","host_type":"journal"},{"url":"https://msystems.asm.org/content/msys/2/3/e00019-17.full.pdf","host_type":"publisher"},{"url":"https://journals.asm.org/doi/pdf/10.1128/mSystems.00019-17","host_type":"publisher"},{"url":"https://doi.org/10.1128/msystems.00019-17","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/28744484","host_type":"repository"},{"url":"https://doaj.org/article/867aec4b502a4b1b97b947ddcb2d9fea","host_type":"repository"},{"url":"https://doaj.org/article/c3a80c6d8c954f948014cfc32616baed","host_type":"repository"},{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5513735","host_type":"repository"},{"url":"https://europepmc.org/articles/PMC5513735","host_type":"Europe_PMC"},{"url":"https://europepmc.org/articles/PMC5513735?pdf=render","host_type":"Europe_PMC"},{"url":"http://dx.doi.org/10.1128/mSystems.00019-17","host_type":""},{"url":"https://dx.doi.org/10.1128/msystems.00019-17","host_type":""}],"fields_of_study":["Pneumonia and Respiratory Infections","Genomics and Phylogenetic Studies","Machine Learning in Bioinformatics","0301 basic medicine","0303 health sciences","03 medical and health sciences"],"mesh_terms":[],"keywords":["Interactome","Computational biology","Protein–protein interaction","Function (biology)","Biology","Streptococcus pneumoniae","Bacterial protein","Bacteria","Genetics","Gene","protein-protein interactions","Functional Prediction","Microbiology","QR1-502","Research Article"],"sdg_mappings":[{"sdg_number":3,"sdg_label":"3. Good health"},{"sdg_number":0,"sdg_label":"Life in Land"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-07-28T03:41:27.231968Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}