{"id":"https://openalex.org/W2125494469","doi":"https://doi.org/10.1080/00207160701286133","title":"Comparison study of two kernel-based learning algorithms for predicting the distance range between antibody interface residues and antigen surface","display_name":"Comparison study of two kernel-based learning algorithms for predicting the distance range between antibody interface residues and antigen surface","publication_year":2007,"publication_date":"2007-05-01","ids":{"openalex":"https://openalex.org/W2125494469","doi":"https://doi.org/10.1080/00207160701286133","mag":"2125494469"},"language":"en","primary_location":{"id":"doi:10.1080/00207160701286133","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207160701286133","pdf_url":null,"source":{"id":"https://openalex.org/S124867444","display_name":"International Journal of Computer Mathematics","issn_l":"0020-7160","issn":["0020-7160","1026-7425","1029-0265"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Mathematics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"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/A5113542097","display_name":"Yong Shi","orcid":"https://orcid.org/0000-0001-7974-1079"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yong Shi","raw_affiliation_strings":["Chinese Academy of Sciences Research Center on Fictitions Economy and Data Science , Beijing, 100080, China","Chinese Academy of Sciences Research Center on Fictitions Economy and Data Science, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences Research Center on Fictitions Economy and Data Science , Beijing, 100080, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Chinese Academy of Sciences Research Center on Fictitions Economy and Data Science, Beijing, China#TAB#","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043446618","display_name":"Jia Wan","orcid":"https://orcid.org/0000-0001-8198-1629"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Wan","raw_affiliation_strings":["Chinese Academy of Sciences Research Center on Fictitions Economy and Data Science , Beijing, 100080, China","Chinese Academy of Sciences Research Center on Fictitions Economy and Data Science, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences Research Center on Fictitions Economy and Data Science , Beijing, 100080, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Chinese Academy of Sciences Research Center on Fictitions Economy and Data Science, Beijing, China#TAB#","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022999126","display_name":"Xinyang Zhang","orcid":"https://orcid.org/0000-0001-6474-682X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyang Zhang","raw_affiliation_strings":["Chinese Academy of Sciences Research Center on Fictitions Economy and Data Science , Beijing, 100080, China","Chinese Academy of Sciences Research Center on Fictitions Economy and Data Science, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences Research Center on Fictitions Economy and Data Science , Beijing, 100080, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Chinese Academy of Sciences Research Center on Fictitions Economy and Data Science, Beijing, China#TAB#","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073973267","display_name":"Gang Kou","orcid":"https://orcid.org/0000-0002-9220-8647"},"institutions":[{"id":"https://openalex.org/I122266389","display_name":"University of Nebraska at Omaha","ror":"https://ror.org/04yrkc140","country_code":"US","type":"education","lineage":["https://openalex.org/I122266389"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gang Kou","raw_affiliation_strings":["College of Information Science and Technology, University of Nebraska at Omaha , Omaha, NE, 68182, USA","College of Information Science and Technology, University of Nebraska at Omaha, Omaha, NE, USA"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, University of Nebraska at Omaha , Omaha, NE, 68182, USA","institution_ids":["https://openalex.org/I122266389"]},{"raw_affiliation_string":"College of Information Science and Technology, University of Nebraska at Omaha, Omaha, NE, USA","institution_ids":["https://openalex.org/I122266389"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039086738","display_name":"Yi Peng","orcid":"https://orcid.org/0000-0003-0373-6665"},"institutions":[{"id":"https://openalex.org/I122266389","display_name":"University of Nebraska at Omaha","ror":"https://ror.org/04yrkc140","country_code":"US","type":"education","lineage":["https://openalex.org/I122266389"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yi Peng","raw_affiliation_strings":["College of Information Science and Technology, University of Nebraska at Omaha , Omaha, NE, 68182, USA","College of Information Science and Technology, University of Nebraska at Omaha, Omaha, NE, USA"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, University of Nebraska at Omaha , Omaha, NE, 68182, USA","institution_ids":["https://openalex.org/I122266389"]},{"raw_affiliation_string":"College of Information Science and Technology, University of Nebraska at Omaha, Omaha, NE, USA","institution_ids":["https://openalex.org/I122266389"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018716215","display_name":"Yajun Guo","orcid":"https://orcid.org/0009-0008-8740-4783"},"institutions":[{"id":"https://openalex.org/I177933477","display_name":"Second Military Medical University","ror":"https://ror.org/04tavpn47","country_code":"CN","type":"education","lineage":["https://openalex.org/I177933477"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yajun Guo","raw_affiliation_strings":["International Joint Cancer Institute, The Second Military Medical University , Shanghai, 200433, China","International Joint Cancer Institute, The Second Military Medical University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"International Joint Cancer Institute, The Second Military Medical University , Shanghai, 200433, China","institution_ids":["https://openalex.org/I177933477"]},{"raw_affiliation_string":"International Joint Cancer Institute, The Second Military Medical University, Shanghai, China","institution_ids":["https://openalex.org/I177933477"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5113542097"],"corresponding_institution_ids":["https://openalex.org/I19820366"],"apc_list":null,"apc_paid":null,"fwci":0.944,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.7803916,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"84","issue":"5","first_page":"697","last_page":"707"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11016","display_name":"Monoclonal and Polyclonal Antibodies Research","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11016","display_name":"Monoclonal and Polyclonal Antibodies Research","score":0.9998999834060669,"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/T11124","display_name":"Protein purification and stability","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"}},{"id":"https://openalex.org/T10602","display_name":"Glycosylation and Glycoproteins Research","score":0.9980999827384949,"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/support-vector-machine","display_name":"Support vector machine","score":0.6651098132133484},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6278961896896362},{"id":"https://openalex.org/keywords/antigen","display_name":"Antigen","score":0.6126444339752197},{"id":"https://openalex.org/keywords/hyperplane","display_name":"Hyperplane","score":0.601714015007019},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5802342891693115},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5391303896903992},{"id":"https://openalex.org/keywords/antibody","display_name":"Antibody","score":0.4867306053638458},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.45362937450408936},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.4321153461933136},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3622409701347351},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30316418409347534},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.16901573538780212},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.1591111123561859},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.15585842728614807},{"id":"https://openalex.org/keywords/immunology","display_name":"Immunology","score":0.14500343799591064},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0819721519947052}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6651098132133484},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6278961896896362},{"id":"https://openalex.org/C147483822","wikidata":"https://www.wikidata.org/wiki/Q103537","display_name":"Antigen","level":2,"score":0.6126444339752197},{"id":"https://openalex.org/C68693459","wikidata":"https://www.wikidata.org/wiki/Q657586","display_name":"Hyperplane","level":2,"score":0.601714015007019},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5802342891693115},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5391303896903992},{"id":"https://openalex.org/C159654299","wikidata":"https://www.wikidata.org/wiki/Q79460","display_name":"Antibody","level":2,"score":0.4867306053638458},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.45362937450408936},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.4321153461933136},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3622409701347351},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30316418409347534},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.16901573538780212},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.1591111123561859},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.15585842728614807},{"id":"https://openalex.org/C203014093","wikidata":"https://www.wikidata.org/wiki/Q101929","display_name":"Immunology","level":1,"score":0.14500343799591064},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0819721519947052},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/00207160701286133","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207160701286133","pdf_url":null,"source":{"id":"https://openalex.org/S124867444","display_name":"International Journal of Computer Mathematics","issn_l":"0020-7160","issn":["0020-7160","1026-7425","1029-0265"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Mathematics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1483099488","https://openalex.org/W1488292635","https://openalex.org/W1563088657","https://openalex.org/W1567281254","https://openalex.org/W1576213419","https://openalex.org/W1601740268","https://openalex.org/W1989318278","https://openalex.org/W2008708467","https://openalex.org/W2028857699","https://openalex.org/W2031772330","https://openalex.org/W2032467421","https://openalex.org/W2038578612","https://openalex.org/W2040074453","https://openalex.org/W2050625197","https://openalex.org/W2052860396","https://openalex.org/W2065335184","https://openalex.org/W2068114605","https://openalex.org/W2081532018","https://openalex.org/W2094148990","https://openalex.org/W2096119514","https://openalex.org/W2096773908","https://openalex.org/W2097697746","https://openalex.org/W2101759848","https://openalex.org/W2102794349","https://openalex.org/W2115568737","https://openalex.org/W2117519369","https://openalex.org/W2119821739","https://openalex.org/W2130479394","https://openalex.org/W2133237935","https://openalex.org/W2140853997","https://openalex.org/W2141555287","https://openalex.org/W2149690568","https://openalex.org/W2156909104","https://openalex.org/W2157393489","https://openalex.org/W4230674625","https://openalex.org/W4232811571","https://openalex.org/W6634338208"],"related_works":["https://openalex.org/W2369655046","https://openalex.org/W2019467317","https://openalex.org/W2161440356","https://openalex.org/W2383335574","https://openalex.org/W1489507320","https://openalex.org/W1889103747","https://openalex.org/W2348510359","https://openalex.org/W3121830895","https://openalex.org/W2900686919","https://openalex.org/W2047800684"],"abstract_inverted_index":{"A":[0],"number":[1,137],"of":[2,17,59,79,95,105,138,149,163],"kernel-based":[3,25],"machine":[4,26,124],"algorithms":[5],"have":[6],"recently":[7],"been":[8],"used":[9,100],"to":[10,34,101],"study":[11,78],"protein\u2013protein":[12],"interaction":[13,69,108],"in":[14,47,76],"the":[15,36,44,60,68,77,85,90,96,103,106,121],"field":[16],"bioinformatics.":[18],"In":[19,63],"this":[20,64],"paper":[21,65],"we":[22,66],"develop":[23],"a":[24,136,141,161],"algorithm":[27,128],"called":[28],"multiple":[29],"criteria":[30,139],"quadratic":[31],"programming":[32],"(MCQP)":[33],"predict":[35],"distance":[37,83,162],"range":[38],"between":[39,70,84],"antibody":[40,71,80],"interface":[41,72,87],"residues":[42,73],"and":[43,74,89,152],"antigen":[45,53,75,91],"surface":[46,92],"antigen\u2013antibody":[48,97],"complex.":[49],"Antibodies":[50],"bind":[51],"their":[52],"using":[54],"residues,":[55],"which":[56],"are":[57,115],"part":[58],"hypervariable":[61],"loops.":[62],"explore":[67],"functions.":[81],"The":[82,110,126],"antibody\u2019s":[86],"residue":[88],"is":[93],"one":[94],"binding":[98],"characteristics":[99],"observe":[102],"details":[104],"antibody\u2013antigen":[107],"surface.":[109],"results":[111,159],"predicted":[112,119],"by":[113,120],"MCQP":[114,127,143],"compared":[116],"with":[117],"those":[118],"support":[122],"vector":[123],"(SVM).":[125],"classifies":[129],"observations":[130],"into":[131],"distinct":[132],"groups":[133],"based":[134],"on":[135],"via":[140],"hyperplane.":[142],"shows":[144],"strong":[145],"advantages":[146],"for":[147,160],"distances":[148],"8":[150],"\u00c5":[151],"10":[153],"\u00c5.":[154,165],"However,":[155],"SVM":[156],"gives":[157],"better":[158],"12":[164]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
