{"id":"https://openalex.org/W2108779253","doi":"https://doi.org/10.1142/s0219720006001758","title":"DIRECT PREDICTION OF T-CELL EPITOPES USING SUPPORT VECTOR MACHINES WITH NOVEL SEQUENCE ENCODING SCHEMES","display_name":"DIRECT PREDICTION OF T-CELL EPITOPES USING SUPPORT VECTOR MACHINES WITH NOVEL SEQUENCE ENCODING SCHEMES","publication_year":2006,"publication_date":"2006-02-01","ids":{"openalex":"https://openalex.org/W2108779253","doi":"https://doi.org/10.1142/s0219720006001758","mag":"2108779253","pmid":"https://pubmed.ncbi.nlm.nih.gov/16568544"},"language":"en","primary_location":{"id":"doi:10.1142/s0219720006001758","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219720006001758","pdf_url":null,"source":{"id":"https://openalex.org/S155349577","display_name":"Journal of Bioinformatics and Computational Biology","issn_l":"0219-7200","issn":["0219-7200","1757-6334"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311754","host_organization_name":"Imperial College Press","host_organization_lineage":["https://openalex.org/P4310311754"],"host_organization_lineage_names":["Imperial College Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Bioinformatics and Computational Biology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100727472","display_name":"Lei Huang","orcid":"https://orcid.org/0000-0003-2458-5149"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"LEI HUANG","raw_affiliation_strings":["Department of Bioengineering, University of Illinois at Chicago, Chicago, IL 60607, USA","Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, 60607, USA,"],"affiliations":[{"raw_affiliation_string":"Department of Bioengineering, University of Illinois at Chicago, Chicago, IL 60607, USA","institution_ids":["https://openalex.org/I39422238"]},{"raw_affiliation_string":"Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, 60607, USA,","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025440962","display_name":"Yang Dai","orcid":"https://orcid.org/0000-0002-7638-849X"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"YANG DAI","raw_affiliation_strings":["Department of Bioengineering, University of Illinois at Chicago, Chicago, IL 60607, USA","Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, 60607, USA,"],"affiliations":[{"raw_affiliation_string":"Department of Bioengineering, University of Illinois at Chicago, Chicago, IL 60607, USA","institution_ids":["https://openalex.org/I39422238"]},{"raw_affiliation_string":"Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, 60607, USA,","institution_ids":["https://openalex.org/I39422238"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100727472"],"corresponding_institution_ids":["https://openalex.org/I39422238"],"apc_list":null,"apc_paid":null,"fwci":0.1325,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.51898411,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"04","issue":"01","first_page":"93","last_page":"107"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12576","display_name":"vaccines and immunoinformatics approaches","score":0.9998999834060669,"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":0.9998999834060669,"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/T11016","display_name":"Monoclonal and Polyclonal Antibodies Research","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10602","display_name":"Glycosylation and Glycoproteins Research","score":0.9984999895095825,"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/encoding","display_name":"Encoding (memory)","score":0.7331885099411011},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6433897018432617},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.618633508682251},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.589933454990387},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5852291584014893},{"id":"https://openalex.org/keywords/epitope","display_name":"Epitope","score":0.571056604385376},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5626362562179565},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5068770051002502},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4991748332977295},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.47961530089378357},{"id":"https://openalex.org/keywords/protein-sequencing","display_name":"Protein sequencing","score":0.4220714271068573},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4175678789615631},{"id":"https://openalex.org/keywords/peptide-sequence","display_name":"Peptide sequence","score":0.4163481593132019},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3467341661453247},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.1608857810497284},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.145710289478302},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.10834306478500366},{"id":"https://openalex.org/keywords/antigen","display_name":"Antigen","score":0.09976214170455933}],"concepts":[{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.7331885099411011},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6433897018432617},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.618633508682251},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.589933454990387},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5852291584014893},{"id":"https://openalex.org/C195616568","wikidata":"https://www.wikidata.org/wiki/Q128711","display_name":"Epitope","level":3,"score":0.571056604385376},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5626362562179565},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5068770051002502},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4991748332977295},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.47961530089378357},{"id":"https://openalex.org/C10010492","wikidata":"https://www.wikidata.org/wiki/Q3142557","display_name":"Protein sequencing","level":4,"score":0.4220714271068573},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4175678789615631},{"id":"https://openalex.org/C167625842","wikidata":"https://www.wikidata.org/wiki/Q899763","display_name":"Peptide sequence","level":3,"score":0.4163481593132019},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3467341661453247},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.1608857810497284},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.145710289478302},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.10834306478500366},{"id":"https://openalex.org/C147483822","wikidata":"https://www.wikidata.org/wiki/Q103537","display_name":"Antigen","level":2,"score":0.09976214170455933},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[{"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":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013601","descriptor_name":"T-Lymphocytes","qualifier_ui":"Q000276","qualifier_name":"immunology","is_major_topic":false},{"descriptor_ui":"D013601","descriptor_name":"T-Lymphocytes","qualifier_ui":"Q000276","qualifier_name":"immunology","is_major_topic":false},{"descriptor_ui":"D013601","descriptor_name":"T-Lymphocytes","qualifier_ui":"Q000276","qualifier_name":"immunology","is_major_topic":false},{"descriptor_ui":"D018984","descriptor_name":"Epitopes, T-Lymphocyte","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D018984","descriptor_name":"Epitopes, T-Lymphocyte","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D018984","descriptor_name":"Epitopes, T-Lymphocyte","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D018984","descriptor_name":"Epitopes, T-Lymphocyte","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D018984","descriptor_name":"Epitopes, T-Lymphocyte","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D018984","descriptor_name":"Epitopes, T-Lymphocyte","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020539","descriptor_name":"Sequence Analysis, Protein","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D020539","descriptor_name":"Sequence Analysis, Protein","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D020539","descriptor_name":"Sequence Analysis, Protein","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1142/s0219720006001758","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219720006001758","pdf_url":null,"source":{"id":"https://openalex.org/S155349577","display_name":"Journal of Bioinformatics and Computational Biology","issn_l":"0219-7200","issn":["0219-7200","1757-6334"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311754","host_organization_name":"Imperial College Press","host_organization_lineage":["https://openalex.org/P4310311754"],"host_organization_lineage_names":["Imperial College Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Bioinformatics and Computational Biology","raw_type":"journal-article"},{"id":"pmid:16568544","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/16568544","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":"Journal of bioinformatics and computational biology","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1531430623","https://openalex.org/W1539537611","https://openalex.org/W1547701650","https://openalex.org/W1563088657","https://openalex.org/W1919284359","https://openalex.org/W1928212615","https://openalex.org/W1994048581","https://openalex.org/W1996529200","https://openalex.org/W2003643883","https://openalex.org/W2011744761","https://openalex.org/W2021945571","https://openalex.org/W2033153339","https://openalex.org/W2035194338","https://openalex.org/W2036463478","https://openalex.org/W2038760963","https://openalex.org/W2041553413","https://openalex.org/W2046202438","https://openalex.org/W2059853480","https://openalex.org/W2079129173","https://openalex.org/W2079542677","https://openalex.org/W2081400647","https://openalex.org/W2088810496","https://openalex.org/W2125732073","https://openalex.org/W2130642272","https://openalex.org/W2143210482","https://openalex.org/W2150383532","https://openalex.org/W2153268005","https://openalex.org/W2158266834","https://openalex.org/W2159767366","https://openalex.org/W2166831581"],"related_works":["https://openalex.org/W2053028024","https://openalex.org/W2354345806","https://openalex.org/W2011602722","https://openalex.org/W2024383575","https://openalex.org/W2395301313","https://openalex.org/W1965617697","https://openalex.org/W2072002764","https://openalex.org/W2012033675","https://openalex.org/W4237340100","https://openalex.org/W2073512219"],"abstract_inverted_index":{"New":[0],"peptide":[1],"encoding":[2],"schemes":[3],"are":[4],"proposed":[5],"to":[6,58],"use":[7],"with":[8],"support":[9],"vector":[10],"machines":[11],"for":[12],"the":[13,23,41,60],"direct":[14],"recognition":[15],"of":[16,25,52],"T":[17],"cell":[18],"epitopes.":[19],"The":[20,62],"methods":[21],"enable":[22],"presentation":[24],"information":[26],"on":[27],"(1)":[28],"amino":[29,44],"acid":[30],"positions":[31],"in":[32],"peptides,":[33],"(2)":[34],"neighboring":[35],"side":[36],"chain":[37],"interactions,":[38],"and":[39],"(3)":[40],"similarity":[42],"between":[43],"acids":[45],"through":[46],"a":[47],"BLOSUM":[48],"matrix.":[49],"A":[50],"procedure":[51],"feature":[53],"selection":[54],"is":[55],"also":[56],"introduced":[57],"strengthen":[59],"prediction.":[61],"computational":[63],"results":[64],"demonstrate":[65],"competitive":[66],"performance":[67],"over":[68],"previous":[69],"techniques.":[70]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}