{"id":"https://openalex.org/W2116089841","doi":"https://doi.org/10.1093/bioinformatics/btl055","title":"An ensemble of K-local hyperplanes for predicting protein\u2013protein interactions","display_name":"An ensemble of K-local hyperplanes for predicting protein\u2013protein interactions","publication_year":2006,"publication_date":"2006-02-15","ids":{"openalex":"https://openalex.org/W2116089841","doi":"https://doi.org/10.1093/bioinformatics/btl055","mag":"2116089841","pmid":"https://pubmed.ncbi.nlm.nih.gov/16481334"},"language":"en","primary_location":{"id":"doi:10.1093/bioinformatics/btl055","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bioinformatics/btl055","pdf_url":"https://academic.oup.com/bioinformatics/article-pdf/22/10/1207/48837875/bioinformatics_22_10_1207.pdf","source":{"id":"https://openalex.org/S52395412","display_name":"Bioinformatics","issn_l":"1367-4803","issn":["1367-4803","1367-4811"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://academic.oup.com/bioinformatics/article-pdf/22/10/1207/48837875/bioinformatics_22_10_1207.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007729428","display_name":"Loris Nanni","orcid":"https://orcid.org/0000-0002-3502-7209"},"institutions":[{"id":"https://openalex.org/I4210100607","display_name":"Institute of Electronics, Computer and Telecommunication Engineering","ror":"https://ror.org/00n4jbh84","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210100607","https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Loris Nanni","raw_affiliation_strings":["DEIS, IEIIT, CNR, Universit\u00e0 di Bologna \u00a0 Viale Risorgimento 2, 40136 Bologna, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DEIS, IEIIT, CNR, Universit\u00e0 di Bologna \u00a0 Viale Risorgimento 2, 40136 Bologna, Italy","institution_ids":["https://openalex.org/I4210100607","https://openalex.org/I9360294"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062639338","display_name":"Alessandra Lumini","orcid":"https://orcid.org/0000-0003-0290-7354"},"institutions":[{"id":"https://openalex.org/I4210100607","display_name":"Institute of Electronics, Computer and Telecommunication Engineering","ror":"https://ror.org/00n4jbh84","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210100607","https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessandra Lumini","raw_affiliation_strings":["DEIS, IEIIT, CNR, Universit\u00e0 di Bologna \u00a0 Viale Risorgimento 2, 40136 Bologna, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DEIS, IEIIT, CNR, Universit\u00e0 di Bologna \u00a0 Viale Risorgimento 2, 40136 Bologna, Italy","institution_ids":["https://openalex.org/I4210100607","https://openalex.org/I9360294"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5007729428"],"corresponding_institution_ids":["https://openalex.org/I4210100607","https://openalex.org/I9360294"],"apc_list":{"value":3989,"currency":"USD","value_usd":3989},"apc_paid":null,"fwci":3.4616,"has_fulltext":true,"cited_by_count":163,"citation_normalized_percentile":{"value":0.93007557,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"22","issue":"10","first_page":"1207","last_page":"1210"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9998000264167786,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9998000264167786,"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/T10521","display_name":"RNA and protein synthesis mechanisms","score":0.9976999759674072,"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/T10211","display_name":"Computational Drug Discovery Methods","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperplane","display_name":"Hyperplane","score":0.7716069221496582},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.6138461828231812},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.578937828540802},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.5780113935470581},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5438492894172668},{"id":"https://openalex.org/keywords/pseudo-amino-acid-composition","display_name":"Pseudo amino acid composition","score":0.5054056644439697},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46281516551971436},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4468548893928528},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4300915002822876},{"id":"https://openalex.org/keywords/amino-acid","display_name":"Amino acid","score":0.41782766580581665},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37536072731018066},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.3493952751159668},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1995846927165985},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.18631112575531006},{"id":"https://openalex.org/keywords/biochemistry","display_name":"Biochemistry","score":0.1343485414981842},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.06451407074928284}],"concepts":[{"id":"https://openalex.org/C68693459","wikidata":"https://www.wikidata.org/wiki/Q657586","display_name":"Hyperplane","level":2,"score":0.7716069221496582},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.6138461828231812},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.578937828540802},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.5780113935470581},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5438492894172668},{"id":"https://openalex.org/C2780362125","wikidata":"https://www.wikidata.org/wiki/Q7254464","display_name":"Pseudo amino acid composition","level":4,"score":0.5054056644439697},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46281516551971436},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4468548893928528},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4300915002822876},{"id":"https://openalex.org/C515207424","wikidata":"https://www.wikidata.org/wiki/Q8066","display_name":"Amino acid","level":2,"score":0.41782766580581665},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37536072731018066},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.3493952751159668},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1995846927165985},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.18631112575531006},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.1343485414981842},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.06451407074928284},{"id":"https://openalex.org/C2779138802","wikidata":"https://www.wikidata.org/wiki/Q418602","display_name":"Dipeptide","level":3,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000595","descriptor_name":"Amino Acid Sequence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000595","descriptor_name":"Amino Acid Sequence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000595","descriptor_name":"Amino Acid Sequence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001665","descriptor_name":"Binding Sites","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001665","descriptor_name":"Binding Sites","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001665","descriptor_name":"Binding Sites","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008956","descriptor_name":"Models, Chemical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008956","descriptor_name":"Models, Chemical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008956","descriptor_name":"Models, Chemical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008969","descriptor_name":"Molecular Sequence Data","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008969","descriptor_name":"Molecular Sequence Data","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008969","descriptor_name":"Molecular Sequence Data","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011485","descriptor_name":"Protein Binding","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011485","descriptor_name":"Protein Binding","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011485","descriptor_name":"Protein Binding","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016415","descriptor_name":"Sequence Alignment","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016415","descriptor_name":"Sequence Alignment","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016415","descriptor_name":"Sequence Alignment","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020539","descriptor_name":"Sequence Analysis, Protein","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020539","descriptor_name":"Sequence Analysis, Protein","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020539","descriptor_name":"Sequence Analysis, Protein","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D025941","descriptor_name":"Protein Interaction Mapping","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D025941","descriptor_name":"Protein Interaction Mapping","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D025941","descriptor_name":"Protein Interaction Mapping","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":6,"locations":[{"id":"doi:10.1093/bioinformatics/btl055","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bioinformatics/btl055","pdf_url":"https://academic.oup.com/bioinformatics/article-pdf/22/10/1207/48837875/bioinformatics_22_10_1207.pdf","source":{"id":"https://openalex.org/S52395412","display_name":"Bioinformatics","issn_l":"1367-4803","issn":["1367-4803","1367-4811"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Bioinformatics","raw_type":"journal-article"},{"id":"pmid:16481334","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/16481334","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Bioinformatics (Oxford, England)","raw_type":"Journal Article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.101.3381","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.101.3381","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://bioinformatics.oxfordjournals.org/cgi/reprint/btl055v1.pdf","raw_type":"text"},{"id":"pmh:oai:cris.unibo.it:11585/30142","is_oa":false,"landing_page_url":"http://hdl.handle.net/11585/30142","pdf_url":null,"source":{"id":"https://openalex.org/S4306402579","display_name":"Archivio istituzionale della ricerca (Alma Mater Studiorum Universit\u00e0 di Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210117483","host_organization_name":"Istituto di Ematologia di Bologna","host_organization_lineage":["https://openalex.org/I4210117483"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:www.research.unipd.it:11577/157494","is_oa":false,"landing_page_url":"http://hdl.handle.net/11577/157494","pdf_url":null,"source":{"id":"https://openalex.org/S4306402547","display_name":"Padua Research Archive (University of Padova)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138689650","host_organization_name":"University of Padua","host_organization_lineage":["https://openalex.org/I138689650"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:zenodo.org:100643","is_oa":true,"landing_page_url":"https://www.openaccessrepository.it/record/100643","pdf_url":null,"source":{"id":"https://openalex.org/S4306402478","display_name":"INFM-OAR (INFN Catania)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210116497","host_organization_name":"Istituto Nazionale di Fisica Nucleare, Sezione di Catania","host_organization_lineage":["https://openalex.org/I4210116497"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1093/bioinformatics/btl055","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bioinformatics/btl055","pdf_url":"https://academic.oup.com/bioinformatics/article-pdf/22/10/1207/48837875/bioinformatics_22_10_1207.pdf","source":{"id":"https://openalex.org/S52395412","display_name":"Bioinformatics","issn_l":"1367-4803","issn":["1367-4803","1367-4811"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320323692","display_name":"Oulun Yliopisto","ror":"https://ror.org/03yj89h83"},{"id":"https://openalex.org/F4320338291","display_name":"Sandia National Laboratories","ror":"https://ror.org/01apwpt12"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2116089841.pdf","grobid_xml":"https://content.openalex.org/works/W2116089841.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W1963916671","https://openalex.org/W1975305782","https://openalex.org/W2005827916","https://openalex.org/W2014731953","https://openalex.org/W2014915963","https://openalex.org/W2045157157","https://openalex.org/W2117403572","https://openalex.org/W2141014294","https://openalex.org/W2147068690","https://openalex.org/W2150452800","https://openalex.org/W2158019970","https://openalex.org/W2799061466","https://openalex.org/W4205687621","https://openalex.org/W4213345021","https://openalex.org/W6651534110"],"related_works":["https://openalex.org/W2369655046","https://openalex.org/W2019467317","https://openalex.org/W1585519779","https://openalex.org/W1965515989","https://openalex.org/W4376167435","https://openalex.org/W2088737283","https://openalex.org/W1999587863","https://openalex.org/W1929902734","https://openalex.org/W2042783797","https://openalex.org/W2612285226"],"abstract_inverted_index":{"Prediction":[0],"of":[1,24,42,68],"protein-protein":[2,99],"interaction":[3],"is":[4,35,88],"a":[5,17,38,49,92],"difficult":[6],"and":[7,107],"important":[8],"problem":[9],"in":[10,101,108],"biology.":[11],"In":[12],"this":[13],"paper,":[14],"we":[15,47],"propose":[16,48],"new":[18,50],"method":[19],"based":[20,95],"on":[21,96],"an":[22,80],"ensemble":[23],"K-local":[25],"hyperplane":[26],"distance":[27],"nearest":[28],"neighbor":[29],"(HKNN)":[30],"classifiers,":[31],"where":[32],"each":[33],"HKNN":[34,69],"trained":[36],"using":[37],"different":[39],"physicochemical":[40],"property":[41],"the":[43,55,61,73],"amino":[44,56,63],"acids.":[45],"Moreover,":[46],"encoding":[51],"technique":[52],"that":[53],"combines":[54],"acid":[57,64],"indices":[58],"together":[59],"with":[60,72],"2-Grams":[62],"composition.":[65],"A":[66],"fusion":[67],"classifiers":[70],"combined":[71],"'Sum":[74],"rule'":[75],"enables":[76],"us":[77],"to":[78],"obtain":[79],"improvement":[81],"over":[82],"other":[83],"state-of-the-art":[84],"methods.":[85],"The":[86],"approach":[87],"demonstrated":[89],"by":[90],"building":[91],"learning":[93],"system":[94],"experimentally":[97],"validated":[98],"interactions":[100],"human":[102],"gastric":[103],"bacterium":[104],"Helicobacter":[105],"pylori":[106],"Human":[109],"dataset.":[110]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":14},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":13},{"year":2015,"cited_by_count":11},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":6}],"updated_date":"2026-08-27T14:10:00.468798","created_date":"2025-10-10T00:00:00"}