{"id":"https://openalex.org/W2149241518","doi":"https://doi.org/10.1093/bioinformatics/btn422","title":"High-performance signal peptide prediction based on sequence alignment techniques","display_name":"High-performance signal peptide prediction based on sequence alignment techniques","publication_year":2008,"publication_date":"2008-08-12","ids":{"openalex":"https://openalex.org/W2149241518","doi":"https://doi.org/10.1093/bioinformatics/btn422","mag":"2149241518"},"language":"en","primary_location":{"id":"doi:10.1093/bioinformatics/btn422","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bioinformatics/btn422","pdf_url":"https://academic.oup.com/bioinformatics/article-pdf/24/19/2172/49050215/bioinformatics_24_19_2172.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"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://academic.oup.com/bioinformatics/article-pdf/24/19/2172/49050215/bioinformatics_24_19_2172.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114249705","display_name":"Karl H. Frank","orcid":null},"institutions":[{"id":"https://openalex.org/I182212641","display_name":"University of Salzburg","ror":"https://ror.org/05gs8cd61","country_code":"AT","type":"education","lineage":["https://openalex.org/I182212641"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Karl Frank","raw_affiliation_strings":["Center of Applied Molecular Engineering, University of Salzburg, Jakob-Haringerstra\u00dfe 5, 5020 Salzburg, Austria"],"affiliations":[{"raw_affiliation_string":"Center of Applied Molecular Engineering, University of Salzburg, Jakob-Haringerstra\u00dfe 5, 5020 Salzburg, Austria","institution_ids":["https://openalex.org/I182212641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028301579","display_name":"Manfred J. Sippl","orcid":null},"institutions":[{"id":"https://openalex.org/I182212641","display_name":"University of Salzburg","ror":"https://ror.org/05gs8cd61","country_code":"AT","type":"education","lineage":["https://openalex.org/I182212641"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Manfred J. Sippl","raw_affiliation_strings":["Center of Applied Molecular Engineering, University of Salzburg, Jakob-Haringerstra\u00dfe 5, 5020 Salzburg, Austria"],"affiliations":[{"raw_affiliation_string":"Center of Applied Molecular Engineering, University of Salzburg, Jakob-Haringerstra\u00dfe 5, 5020 Salzburg, Austria","institution_ids":["https://openalex.org/I182212641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5028301579"],"corresponding_institution_ids":["https://openalex.org/I182212641"],"apc_list":{"value":3618,"currency":"USD","value_usd":3618},"apc_paid":null,"fwci":1.3785,"has_fulltext":false,"cited_by_count":137,"citation_normalized_percentile":{"value":0.80651866,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"24","issue":"19","first_page":"2172","last_page":"2176"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":1.0,"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":1.0,"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/T10519","display_name":"Advanced Proteomics Techniques and Applications","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1607","display_name":"Spectroscopy"},"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/T10521","display_name":"RNA and protein synthesis mechanisms","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"}}],"keywords":[{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.7254596948623657},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6873937249183655},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.5395476222038269},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.510459303855896},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5069425106048584},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4349459409713745},{"id":"https://openalex.org/keywords/trace","display_name":"TRACE (psycholinguistics)","score":0.4203878939151764},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4172065556049347},{"id":"https://openalex.org/keywords/signal-peptide","display_name":"Signal peptide","score":0.4128114581108093},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.363982617855072},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3418577313423157},{"id":"https://openalex.org/keywords/peptide-sequence","display_name":"Peptide sequence","score":0.13255244493484497},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.07814222574234009}],"concepts":[{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.7254596948623657},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6873937249183655},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.5395476222038269},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.510459303855896},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5069425106048584},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4349459409713745},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.4203878939151764},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4172065556049347},{"id":"https://openalex.org/C10858879","wikidata":"https://www.wikidata.org/wiki/Q899790","display_name":"Signal peptide","level":4,"score":0.4128114581108093},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.363982617855072},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3418577313423157},{"id":"https://openalex.org/C167625842","wikidata":"https://www.wikidata.org/wiki/Q899763","display_name":"Peptide sequence","level":3,"score":0.13255244493484497},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07814222574234009},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1093/bioinformatics/btn422","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bioinformatics/btn422","pdf_url":"https://academic.oup.com/bioinformatics/article-pdf/24/19/2172/49050215/bioinformatics_24_19_2172.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"}],"best_oa_location":{"id":"doi:10.1093/bioinformatics/btn422","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bioinformatics/btn422","pdf_url":"https://academic.oup.com/bioinformatics/article-pdf/24/19/2172/49050215/bioinformatics_24_19_2172.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":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2149241518.pdf","grobid_xml":"https://content.openalex.org/works/W2149241518.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1494182669","https://openalex.org/W1560593431","https://openalex.org/W1996423252","https://openalex.org/W2055043387","https://openalex.org/W2055666215","https://openalex.org/W2104402742","https://openalex.org/W2122202168","https://openalex.org/W2135677342","https://openalex.org/W2138879032","https://openalex.org/W2143210482","https://openalex.org/W2148622452","https://openalex.org/W2148853951","https://openalex.org/W2153671224","https://openalex.org/W2158698691","https://openalex.org/W2158714788","https://openalex.org/W2161746138","https://openalex.org/W2163017458","https://openalex.org/W2171709077","https://openalex.org/W2600349519","https://openalex.org/W2601913882","https://openalex.org/W6684079896","https://openalex.org/W6685014196"],"related_works":["https://openalex.org/W2364370872","https://openalex.org/W2097963413","https://openalex.org/W2025614924","https://openalex.org/W2735765216","https://openalex.org/W3145575561","https://openalex.org/W2995886640","https://openalex.org/W1591475660","https://openalex.org/W2294335174","https://openalex.org/W2001275470","https://openalex.org/W2164162849"],"abstract_inverted_index":{"Abstract":[0],"Summary:":[1],"The":[2,11,86],"accuracy":[3,31],"of":[4,27,32,55,65,89,99,104],"current":[5],"signal":[6,47,69,84],"peptide":[7,48,70],"predictors":[8,14,71],"is":[9,143],"outstanding.":[10],"most":[12],"successful":[13],"are":[15,81,135],"based":[16],"on":[17,119],"neural":[18],"networks":[19],"and":[20,29,137],"hidden":[21],"Markov":[22],"models,":[23],"reaching":[24,50],"a":[25,125],"sensitivity":[26],"99%":[28],"an":[30],"95%.":[33],"Here,":[34],"we":[35,122],"demonstrate":[36],"that":[37],"the":[38,51,97],"popular":[39],"BLASTP":[40],"alignment":[41],"tool":[42],"can":[43,107],"be":[44,108],"tuned":[45],"for":[46,79],"prediction":[49,56],"same":[52],"high":[53,66],"level":[54],"success.":[57],"Alignment-based":[58],"techniques":[59],"provide":[60],"additional":[61],"benefits.":[62],"In":[63],"spite":[64],"success":[67],"rates":[68],"yield":[72],"false":[73,105],"predictions.":[74],"Simple":[75],"sequences":[76],"like":[77],"polyvaline,":[78],"example,":[80],"predicted":[82],"as":[83],"peptides.":[85],"general":[87],"architecture":[88],"learning":[90],"systems":[91],"makes":[92],"it":[93],"difficult":[94],"to":[95,139],"trace":[96],"cause":[98],"such":[100],"problems.":[101],"This":[102],"kind":[103],"predictions":[106],"recognized":[109],"or":[110],"avoided":[111],"altogether":[112],"by":[113,133],"using":[114],"sequence":[115],"comparison":[116],"techniques.":[117],"Based":[118],"these":[120],"results":[121],"have":[123],"implemented":[124],"public":[126],"web":[127],"service,":[128],"called":[129],"Signal-BLAST.":[130],"Predictions":[131],"returned":[132],"Signal-BLAST":[134,142],"transparent":[136],"easy":[138],"analyze.":[140],"Availability:":[141],"available":[144],"online":[145],"at":[146],"http://sigpep.services.came.sbg.ac.at/signalblast.html":[147],"Contact:":[148],"sippl@came.sbg.ac.at":[149]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":17},{"year":2017,"cited_by_count":13},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":4}],"updated_date":"2026-03-24T08:02:53.985720","created_date":"2016-06-24T00:00:00"}
