{"doi":"10.1021/acs.jproteome.5b00499","title":"Metrics for the Human Proteome Project 2015: Progress on the Human Proteome and Guidelines for High-Confidence Protein Identification","abstract":null,"journal":"Journal of Proteome Research","year":2015,"id":632166,"datarank":0.6798899239729885,"base_score":4.532599493153256,"endowment":4.532599493153256,"self_citation_contribution":0.6798899239729885,"citation_network_contribution":0.0,"self_endowment_contribution":0.6798899239729885,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":92,"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":121997,"name":"Lydie Lane","orcid":"0000-0002-9818-3030","position":1,"is_corresponding":false},{"id":1638580,"name":"Emma K. 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Missing proteins are those with no previous protein-level evidence or insufficient evidence to make a confident identification upon reanalysis in PeptideAtlas and curation in neXtProt. Enhanced with several major new data sets published in 2014, the human proteome presented as neXtProt, version 2014-09-19, has 16 491 unique confident proteins (PE level 1), up from 13 664 at 2012-12 and 15 646 at 2013-09. That leaves 2948 missing proteins from genes classified having protein existence level PE 2, 3, or 4, as well as 616 dubious proteins at PE 5. Here, we document the progress of the HPP and discuss the importance of assessing the quality of evidence, confirming automated findings and considering alternative protein matches for spectra and peptides. We provide guidelines for proteomics investigators to apply in reporting newly identified proteins.","is_dataset_classified":null,"base_score":0.0,"endowment":0.0,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"26155816","pmcid":null,"openalex_id":null,"authors":[],"funders":[{"funder_name":"Commission for Technology and Innovation","grant_id":"CTI 10214","title":null},{"funder_name":"Knut and Alice Wallenberg Foundation","grant_id":"unidentified","title":"unidentified"},{"funder_name":"European Commission","grant_id":"260558","title":"International Data Exchange and Data Representation Standards for Proteomics"},{"funder_name":"NIBIB NIH HHS","grant_id":"U54 EB020406","title":null},{"funder_name":"NIEHS NIH HHS","grant_id":"U54ES017885","title":null},{"funder_name":"NIGMS NIH HHS","grant_id":"R01 GM087221","title":null},{"funder_name":"NIGMS NIH HHS","grant_id":"R01 GM094231","title":null},{"funder_name":"NIGMS NIH HHS","grant_id":"P50 GM076547","title":null},{"funder_name":"NIEHS NIH HHS","grant_id":"P30 ES017885","title":null},{"funder_name":"NIGMS NIH HHS","grant_id":"2P50GM076547","title":null}],"total_grants":10,"fwci":null,"citation_percentile":null,"influential_citations":2,"citation_trend":[],"oa_status":"green","license":null,"oa_locations":[{"url":"https://europepmc.org/articles/pmc4755311?pdf=render","host_type":"GREEN"},{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4755311","host_type":"repository"},{"url":"https://pubs.acs.org/doi/pdf/10.1021/acs.jproteome.5b00499","host_type":"publisher"},{"url":"https://doi.org/10.1021/acs.jproteome.5b00499","host_type":""},{"url":"https://pubmed.ncbi.nlm.nih.gov/26155816","host_type":""},{"url":"https://dx.doi.org/10.1021/acs.jproteome.5b00499","host_type":""},{"url":"https://sonar.ch/global/documents/272666","host_type":""},{"url":"https://archive-ouverte.unige.ch/unige:76152","host_type":""},{"url":"http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-174931","host_type":""},{"url":"https://publications-affiliated.scilifelab.se/publication/383fef5b4eba41d2b6419077ee6a3674","host_type":""},{"url":"https://publications.scilifelab.se/publication/616004ca48b74be0ad0d36061cb8253a","host_type":""}],"fields_of_study":["Biology","Medicine","Computer Science","0301 basic medicine","03 medical and health sciences","0303 health sciences","Guidelines as Topic","Humans","Proteins","Proteome"],"mesh_terms":["Guidelines as Topic","Humans","Proteins","Proteome"],"keywords":["PeptideAtlas","Proteome","high-confidence protein identifications","Bioinformatics and Computational Biology","Global Proteome Machine database (GPMDB)","Guidelines as Topic","Biochemistry","576","Human Protein Atlas","neXtProt","Humans","guidelines","Biokemi","Molecular Biology","Human Proteome Project","Bioinformatics (Computational Biology)","Molekylärbiologi","novel proteins","Proteins","Bioinformatik och beräkningsbiologi","Bioinformatik (beräkningsbiologi)","missing proteins","HPP metrics"],"sdg_mappings":[{"sdg_number":2,"sdg_label":"2. 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