{"id":"https://openalex.org/W1723198065","doi":"https://doi.org/10.1007/978-3-642-02008-7_36","title":"Learning Models for Aligning Protein Sequences with Predicted Secondary Structure","display_name":"Learning Models for Aligning Protein Sequences with Predicted Secondary Structure","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W1723198065","doi":"https://doi.org/10.1007/978-3-642-02008-7_36","mag":"1723198065"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-02008-7_36","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-02008-7_36","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5079500773","display_name":"Eagu Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Eagu Kim","raw_affiliation_strings":["Department of Computer Science, The University of Arizona, Tucson, USA","Department of Computer Science, The University of Arizona, Tucson, USA AZ 85721"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, The University of Arizona, Tucson, USA","institution_ids":["https://openalex.org/I138006243"]},{"raw_affiliation_string":"Department of Computer Science, The University of Arizona, Tucson, USA AZ 85721","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073174813","display_name":"Travis J. Wheeler","orcid":"https://orcid.org/0000-0003-2004-1785"},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Travis Wheeler","raw_affiliation_strings":["Department of Computer Science, The University of Arizona, Tucson, USA","Department of Computer Science, The University of Arizona, Tucson, USA AZ 85721"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, The University of Arizona, Tucson, USA","institution_ids":["https://openalex.org/I138006243"]},{"raw_affiliation_string":"Department of Computer Science, The University of Arizona, Tucson, USA AZ 85721","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083998316","display_name":"John Kececioglu","orcid":"https://orcid.org/0000-0003-1204-6535"},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Kececioglu","raw_affiliation_strings":["Department of Computer Science, The University of Arizona, Tucson, USA","Department of Computer Science, The University of Arizona, Tucson, USA AZ 85721"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, The University of Arizona, Tucson, USA","institution_ids":["https://openalex.org/I138006243"]},{"raw_affiliation_string":"Department of Computer Science, The University of Arizona, Tucson, USA AZ 85721","institution_ids":["https://openalex.org/I138006243"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5079500773"],"corresponding_institution_ids":["https://openalex.org/I138006243"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.9276,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.76198952,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"512","last_page":"531"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.9990000128746033,"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/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.9990000128746033,"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":0.9962999820709229,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.7473691701889038},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.745781660079956},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7049555778503418},{"id":"https://openalex.org/keywords/multiple-sequence-alignment","display_name":"Multiple sequence alignment","score":0.6507713794708252},{"id":"https://openalex.org/keywords/structural-alignment","display_name":"Structural alignment","score":0.5805526971817017},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5149355530738831},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.5098656415939331},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46487903594970703},{"id":"https://openalex.org/keywords/smith\u2013waterman-algorithm","display_name":"Smith\u2013Waterman algorithm","score":0.45963436365127563},{"id":"https://openalex.org/keywords/sequence-alignment","display_name":"Sequence alignment","score":0.4571128189563751},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4374479651451111},{"id":"https://openalex.org/keywords/protein-structure-prediction","display_name":"Protein structure prediction","score":0.4313652217388153},{"id":"https://openalex.org/keywords/protein-secondary-structure","display_name":"Protein secondary structure","score":0.42384853959083557},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36161285638809204},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34467756748199463},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3326437473297119},{"id":"https://openalex.org/keywords/protein-structure","display_name":"Protein structure","score":0.2293441891670227},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15216144919395447}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7473691701889038},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.745781660079956},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7049555778503418},{"id":"https://openalex.org/C88031987","wikidata":"https://www.wikidata.org/wiki/Q1377767","display_name":"Multiple sequence alignment","level":5,"score":0.6507713794708252},{"id":"https://openalex.org/C4668613","wikidata":"https://www.wikidata.org/wiki/Q4116110","display_name":"Structural alignment","level":5,"score":0.5805526971817017},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5149355530738831},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.5098656415939331},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46487903594970703},{"id":"https://openalex.org/C72802188","wikidata":"https://www.wikidata.org/wiki/Q1683352","display_name":"Smith\u2013Waterman algorithm","level":5,"score":0.45963436365127563},{"id":"https://openalex.org/C45484198","wikidata":"https://www.wikidata.org/wiki/Q827246","display_name":"Sequence alignment","level":4,"score":0.4571128189563751},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4374479651451111},{"id":"https://openalex.org/C18051474","wikidata":"https://www.wikidata.org/wiki/Q899656","display_name":"Protein structure prediction","level":3,"score":0.4313652217388153},{"id":"https://openalex.org/C62614982","wikidata":"https://www.wikidata.org/wiki/Q904984","display_name":"Protein secondary structure","level":2,"score":0.42384853959083557},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36161285638809204},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34467756748199463},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3326437473297119},{"id":"https://openalex.org/C47701112","wikidata":"https://www.wikidata.org/wiki/Q735188","display_name":"Protein structure","level":2,"score":0.2293441891670227},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15216144919395447},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C167625842","wikidata":"https://www.wikidata.org/wiki/Q899763","display_name":"Peptide sequence","level":3,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C46141821","wikidata":"https://www.wikidata.org/wiki/Q209402","display_name":"Nuclear magnetic resonance","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-642-02008-7_36","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-02008-7_36","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W938539187","https://openalex.org/W1489075871","https://openalex.org/W1492443707","https://openalex.org/W1758266623","https://openalex.org/W1969752145","https://openalex.org/W1990061958","https://openalex.org/W2001573278","https://openalex.org/W2002640757","https://openalex.org/W2004178884","https://openalex.org/W2009570821","https://openalex.org/W2022368654","https://openalex.org/W2068448872","https://openalex.org/W2072163721","https://openalex.org/W2075451741","https://openalex.org/W2085668020","https://openalex.org/W2087817903","https://openalex.org/W2096234003","https://openalex.org/W2099254366","https://openalex.org/W2100440346","https://openalex.org/W2102502076","https://openalex.org/W2106882534","https://openalex.org/W2108642468","https://openalex.org/W2109607376","https://openalex.org/W2114320077","https://openalex.org/W2120828197","https://openalex.org/W2123933470","https://openalex.org/W2125670145","https://openalex.org/W2132926880","https://openalex.org/W2140872496","https://openalex.org/W2140890018","https://openalex.org/W2143210482","https://openalex.org/W2144362290","https://openalex.org/W2145268834","https://openalex.org/W2148311769","https://openalex.org/W2149906774","https://openalex.org/W2153187042","https://openalex.org/W2166718648","https://openalex.org/W2169602699","https://openalex.org/W2179534833","https://openalex.org/W2340149117","https://openalex.org/W2477408078","https://openalex.org/W2601913882","https://openalex.org/W4242246215","https://openalex.org/W4245668478","https://openalex.org/W4302334632"],"related_works":["https://openalex.org/W2051969447","https://openalex.org/W2103737249","https://openalex.org/W2029514038","https://openalex.org/W2468116983","https://openalex.org/W2111937814","https://openalex.org/W2187357871","https://openalex.org/W2948014085","https://openalex.org/W2501018882","https://openalex.org/W1482324242","https://openalex.org/W2004215917"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}