{"id":"https://openalex.org/W7225790606","doi":"https://doi.org/10.5281/zenodo.24143297","title":"PepLab Bench: a source-model-selector benchmark for HLA-A*02:01 peptide selection","display_name":"PepLab Bench: a source-model-selector benchmark for HLA-A*02:01 peptide selection","publication_year":2026,"publication_date":"2026-11-11","ids":{"openalex":"https://openalex.org/W7225790606","doi":"https://doi.org/10.5281/zenodo.24143297"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.24143297","doi":"https://doi.org/10.5281/zenodo.24143297","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24143297","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.24143297","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5148801614","display_name":"O\u011fuzcan \u00dcnver","orcid":"https://orcid.org/0009-0007-2023-5084","observed_orcids":["https://orcid.org/0009-0007-2023-5084"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Unver, O\u011fuzcan","raw_affiliation_strings":["Metastate Bio"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Metastate Bio","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5148801614"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12576","display_name":"vaccines and immunoinformatics approaches","score":0.9976000189781189,"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":0.9976000189781189,"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/T10911","display_name":"Chemical Synthesis and Analysis","score":0.0010999999940395355,"subfield":{"id":"https://openalex.org/subfields/1605","display_name":"Organic Chemistry"},"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/T10211","display_name":"Computational Drug Discovery Methods","score":0.00039999998989515007,"subfield":{"id":"https://openalex.org/subfields/3002","display_name":"Drug Discovery"},"field":{"id":"https://openalex.org/fields/30","display_name":"Pharmacology, Toxicology and Pharmaceutics"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[],"concepts":[{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6115999817848206},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5573999881744385},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5153999924659729},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4977000057697296},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.48820000886917114},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40290001034736633},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.38850000500679016},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3765000104904175},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.296099990606308},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.26910001039505005},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26269999146461487},{"id":"https://openalex.org/C2984968299","wikidata":"https://www.wikidata.org/wiki/Q1077784","display_name":"Software tool","level":3,"score":0.2547000050544739}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5281/zenodo.24143297","doi":"https://doi.org/10.5281/zenodo.24143297","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24143297","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},{"id":"doi:10.5281/zenodo.24143298","doi":"https://doi.org/10.5281/zenodo.24143298","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24143298","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.5281/zenodo.24143297","doi":"https://doi.org/10.5281/zenodo.24143297","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24143297","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Retrospective":[0],"HLA-A*02:01":[1],"peptide-selection":[2],"benchmark:":[3],"160":[4],"archived":[5],"nine-mers,":[6],"151":[7],"source/model/selector":[8],"configurations,":[9],"200":[10],"shared":[11],"starts":[12],"and":[13],"30,200":[14],"episodes.":[15],"At":[16],"32":[17],"reveals,":[18],"the":[19,32],"leading":[20],"sequence-chemistry-contact":[21],"GP/greedy":[22],"pipeline":[23],"recovered":[24],"3.265":[25],"of":[26],"eight":[27],"targets":[28],"versus":[29],"2.920":[30],"for":[31],"strongest":[33],"cheap":[34],"chemistry/XGBoost/greedy":[35],"pipeline.":[36],"Matched":[37],"contact":[38],"gain:":[39],"+0.450":[40],"targets;":[41],"adding":[42],"energy":[43],"to":[44],"that":[45],"leader:":[46],"-0.500.":[47],"A":[48],"clean":[49],"public":[50],"software":[51],"installation":[52],"reproduced":[53],"12":[54],"historical":[55],"episodes":[56],"(36":[57],"contexts).":[58],"These":[59],"are":[60],"development":[61],"comparisons,":[62],"not":[63],"independent":[64],"biological":[65],"validation":[66],"or":[67],"cost-aware":[68],"acquisition.":[69],"Author:":[70],"Oguzcan":[71],"Unver,":[72],"Metastate":[73],"Bio.":[74],"Manuscript":[75],"revision":[76],"6.4.":[77],"Complete":[78],"evidence:":[79],"https://doi.org/10.5281/zenodo.24142178":[80],".":[81,84],"Code:":[82],"https://github.com/otcan/peplab-bench":[83]},"counts_by_year":[],"updated_date":"2026-11-12T12:28:57.059296","created_date":"2026-11-12T00:00:00"}
