{"id":"https://openalex.org/W4387346545","doi":"https://doi.org/10.1145/3584371.3613055","title":"Benchmarking deep learning models and classical de novo sequencing tools for immunopeptidomics.","display_name":"Benchmarking deep learning models and classical de novo sequencing tools for immunopeptidomics.","publication_year":2023,"publication_date":"2023-09-03","ids":{"openalex":"https://openalex.org/W4387346545","doi":"https://doi.org/10.1145/3584371.3613055"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1145/3584371.3613055","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3584371.3613055","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3584371.3613055","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054244975","display_name":"Liang Xue","orcid":"https://orcid.org/0000-0003-3606-4615"},"institutions":[{"id":"https://openalex.org/I180857899","display_name":"Pfizer (United States)","ror":"https://ror.org/01xdqrp08","country_code":"US","type":"company","lineage":["https://openalex.org/I180857899"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liang Xue","raw_affiliation_strings":["Pfizer, Cambridge, USA"],"affiliations":[{"raw_affiliation_string":"Pfizer, Cambridge, USA","institution_ids":["https://openalex.org/I180857899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083539356","display_name":"Mykola Bordyuh","orcid":"https://orcid.org/0000-0002-4778-0927"},"institutions":[{"id":"https://openalex.org/I180857899","display_name":"Pfizer (United States)","ror":"https://ror.org/01xdqrp08","country_code":"US","type":"company","lineage":["https://openalex.org/I180857899"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mykola Bordyuh","raw_affiliation_strings":["Pfizer, Cambridge, USA"],"affiliations":[{"raw_affiliation_string":"Pfizer, Cambridge, USA","institution_ids":["https://openalex.org/I180857899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044662284","display_name":"Djork-Arn\u00e9 Clevert","orcid":"https://orcid.org/0000-0003-4191-2156"},"institutions":[{"id":"https://openalex.org/I4210100293","display_name":"Pfizer (Germany)","ror":"https://ror.org/00m8w3m39","country_code":"DE","type":"company","lineage":["https://openalex.org/I180857899","https://openalex.org/I4210100293"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Djork-Arne Clevert","raw_affiliation_strings":["Pfizer, Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Pfizer, Berlin, Germany","institution_ids":["https://openalex.org/I4210100293"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029326025","display_name":"Robert E. Stanton","orcid":"https://orcid.org/0000-0003-2223-5102"},"institutions":[{"id":"https://openalex.org/I180857899","display_name":"Pfizer (United States)","ror":"https://ror.org/01xdqrp08","country_code":"US","type":"company","lineage":["https://openalex.org/I180857899"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robert Stanton","raw_affiliation_strings":["Pfizer, Cambridge, USA"],"affiliations":[{"raw_affiliation_string":"Pfizer, Cambridge, USA","institution_ids":["https://openalex.org/I180857899"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":67},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12576","display_name":"vaccines and immunoinformatics approaches","score":0.9994,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12576","display_name":"vaccines and immunoinformatics approaches","score":0.9994,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10519","display_name":"Advanced Proteomics Techniques and Applications","score":0.9993,"subfield":{"id":"https://openalex.org/subfields/1607","display_name":"Spectroscopy"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10602","display_name":"Glycosylation and Glycoproteins Research","score":0.9976,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.5254801},{"id":"https://openalex.org/keywords/identification","display_name":"Identification","score":0.4717256}],"concepts":[{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.6452498},{"id":"https://openalex.org/C3875195","wikidata":"https://www.wikidata.org/wiki/Q5099363","display_name":"Chimeric antigen receptor","level":4,"score":0.6284671},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6024732},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.5254801},{"id":"https://openalex.org/C2779281246","wikidata":"https://www.wikidata.org/wiki/Q172847","display_name":"Peptide","level":2,"score":0.51940393},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4717256},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.43523896},{"id":"https://openalex.org/C147483822","wikidata":"https://www.wikidata.org/wiki/Q103537","display_name":"Antigen","level":2,"score":0.41772026},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33892727},{"id":"https://openalex.org/C2777701055","wikidata":"https://www.wikidata.org/wiki/Q1427096","display_name":"Immunotherapy","level":3,"score":0.32567072},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.27167547},{"id":"https://openalex.org/C203014093","wikidata":"https://www.wikidata.org/wiki/Q101929","display_name":"Immunology","level":1,"score":0.16522342},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13754728},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.12697607},{"id":"https://openalex.org/C8891405","wikidata":"https://www.wikidata.org/wiki/Q1059","display_name":"Immune system","level":2,"score":0.11730552},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1145/3584371.3613055","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3584371.3613055","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1145/3584371.3613055","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3584371.3613055","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.66}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":1,"referenced_works":["https://openalex.org/W4320717149"],"related_works":["https://openalex.org/W435179959","https://openalex.org/W4292999382","https://openalex.org/W4238897586","https://openalex.org/W3032483461","https://openalex.org/W3029001555","https://openalex.org/W2619091065","https://openalex.org/W2291782699","https://openalex.org/W2284465472","https://openalex.org/W2059640416","https://openalex.org/W1490753184"],"abstract_inverted_index":{"The":[0],"identification":[1],"of":[2,10,36,48,54],"neo-peptide":[3,68],"antigens":[4,38],"is":[5,27,39],"essential":[6],"for":[7,29],"the":[8,43,52,55,57,67],"development":[9],"immunotherapies":[11],"like":[12],"chimeric":[13],"antigen":[14],"receptor":[15],"T-cell":[16],"therapy":[17],"(CART),":[18],"mRNA,":[19],"and":[20],"peptide":[21],"vaccine.":[22],"While":[23],"mass":[24],"spectrometry-based":[25],"peptidomics":[26],"powerful":[28],"identifying":[30],"peptides,":[31],"its":[32],"utility":[33],"in":[34],"discovery":[35],"non-canonical":[37],"yet":[40],"to":[41,83],"achieve":[42],"full":[44],"potential.":[45],"Some":[46],"challenges":[47],"such":[49],"application":[50],"include":[51],"constraints":[53],"matching":[56],"resulting":[58],"spectra":[59],"against":[60],"reference":[61],"databases":[62],"which":[63],"may":[64],"not":[65],"represent":[66],"sequence,":[69],"lower":[70],"statistical":[71],"power":[72,85],"with":[73],"exploded":[74],"searching":[75],"space,":[76],"as":[77,79],"well":[78],"low":[80],"throughput":[81],"due":[82],"computation":[84],"requirement[1].":[86]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4387346545","counts_by_year":[],"updated_date":"2025-01-02T19:04:52.528719","created_date":"2023-10-05"}