{"id":"https://openalex.org/W2059886429","doi":"https://doi.org/10.1109/bibmw.2012.6470203","title":"Prediction of antimicrobial activity of peptides using relational machine learning","display_name":"Prediction of antimicrobial activity of peptides using relational machine learning","publication_year":2012,"publication_date":"2012-10-01","ids":{"openalex":"https://openalex.org/W2059886429","doi":"https://doi.org/10.1109/bibmw.2012.6470203","mag":"2059886429"},"language":"en","primary_location":{"id":"doi:10.1109/bibmw.2012.6470203","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibmw.2012.6470203","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops","raw_type":"proceedings-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/A5002832499","display_name":"Andrea Szab\u00f3ov\u00e1","orcid":null},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Andrea Szaboova","raw_affiliation_strings":["Department of Cybernetics, Czech Technical University in Prague, Prague, Czech Republic","Department of Cybernetics Czech Technical University in Prague Prague Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cybernetics, Czech Technical University in Prague, Prague, Czech Republic","institution_ids":["https://openalex.org/I44504214"]},{"raw_affiliation_string":"Department of Cybernetics Czech Technical University in Prague Prague Czech Republic","institution_ids":["https://openalex.org/I44504214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021262042","display_name":"Ond\u0159ej Ku\u017eelka","orcid":"https://orcid.org/0000-0002-6523-9114"},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Ondrej Kuzelka","raw_affiliation_strings":["Department of Cybernetics, Czech Technical University in Prague, Prague, Czech Republic","Department of Cybernetics Czech Technical University in Prague Prague Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cybernetics, Czech Technical University in Prague, Prague, Czech Republic","institution_ids":["https://openalex.org/I44504214"]},{"raw_affiliation_string":"Department of Cybernetics Czech Technical University in Prague Prague Czech Republic","institution_ids":["https://openalex.org/I44504214"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062388770","display_name":"Filip \u017delezn\u00fd","orcid":"https://orcid.org/0000-0001-9780-3376"},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Filip Zelezny","raw_affiliation_strings":["Department of Cybernetics, Czech Technical University in Prague, Prague, Czech Republic","Department of Cybernetics Czech Technical University in Prague Prague Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cybernetics, Czech Technical University in Prague, Prague, Czech Republic","institution_ids":["https://openalex.org/I44504214"]},{"raw_affiliation_string":"Department of Cybernetics Czech Technical University in Prague Prague Czech Republic","institution_ids":["https://openalex.org/I44504214"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2203,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.5765398,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"575","last_page":"580"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11103","display_name":"Antimicrobial Peptides and Activities","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2404","display_name":"Microbiology"},"field":{"id":"https://openalex.org/fields/24","display_name":"Immunology and Microbiology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11103","display_name":"Antimicrobial Peptides and Activities","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2404","display_name":"Microbiology"},"field":{"id":"https://openalex.org/fields/24","display_name":"Immunology and Microbiology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13326","display_name":"Biochemical and Structural Characterization","score":0.996399998664856,"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/T12576","display_name":"vaccines and immunoinformatics approaches","score":0.991599977016449,"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/construct","display_name":"Construct (python library)","score":0.6532692909240723},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6522379517555237},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6456339359283447},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6131818294525146},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6112883687019348},{"id":"https://openalex.org/keywords/antimicrobial-peptides","display_name":"Antimicrobial peptides","score":0.5220070481300354},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.48581719398498535},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3617086112499237},{"id":"https://openalex.org/keywords/antimicrobial","display_name":"Antimicrobial","score":0.3587934970855713},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.198674738407135},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15087392926216125}],"concepts":[{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.6532692909240723},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6522379517555237},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6456339359283447},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6131818294525146},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6112883687019348},{"id":"https://openalex.org/C540938839","wikidata":"https://www.wikidata.org/wiki/Q1201508","display_name":"Antimicrobial peptides","level":3,"score":0.5220070481300354},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.48581719398498535},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3617086112499237},{"id":"https://openalex.org/C4937899","wikidata":"https://www.wikidata.org/wiki/Q68541106","display_name":"Antimicrobial","level":2,"score":0.3587934970855713},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.198674738407135},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15087392926216125},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bibmw.2012.6470203","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibmw.2012.6470203","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.251.2582","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.251.2582","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://labe.felk.cvut.cz/%7Ezelezny/pubs/bibm_workshop.2012.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1570448133","https://openalex.org/W1964557084","https://openalex.org/W1967110384","https://openalex.org/W1979774181","https://openalex.org/W1990291110","https://openalex.org/W1991081822","https://openalex.org/W2003019560","https://openalex.org/W2017835711","https://openalex.org/W2078412922","https://openalex.org/W2089175291","https://openalex.org/W2095256077","https://openalex.org/W2103743593","https://openalex.org/W2112862199","https://openalex.org/W2117767830","https://openalex.org/W2126677834","https://openalex.org/W2129115651","https://openalex.org/W2138913996","https://openalex.org/W2139212933","https://openalex.org/W2139652091","https://openalex.org/W2144506960","https://openalex.org/W2144749562","https://openalex.org/W2156690214","https://openalex.org/W2160780417"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W1973192249","https://openalex.org/W2354039930","https://openalex.org/W2044458410","https://openalex.org/W4375855538","https://openalex.org/W2388831772","https://openalex.org/W3087020980","https://openalex.org/W2511368942","https://openalex.org/W2107525095","https://openalex.org/W4211241221"],"abstract_inverted_index":{"We":[0,12,32,49,60],"apply":[1,61],"relational":[2,47,52],"machine":[3],"learning":[4],"techniques":[5],"to":[6,22,37,64],"predict":[7],"antimicrobial":[8,65],"activity":[9,66],"of":[10,24,27,68],"peptides.":[11],"follow":[13],"our":[14],"successful":[15],"strategy":[16],"(Szab\u00f3ov\u00e1":[17],"et":[18],"al.,":[19],"MLSB":[20],"2010)":[21],"prediction":[23,35,67],"DNA-binding":[25],"propensity":[26],"proteins":[28],"from":[29],"structural":[30,46],"features.":[31,48],"exploit":[33],"structure":[34],"methods":[36],"obtain":[38],"peptides'":[39],"spatial":[40],"structures,":[41],"then":[42],"we":[43],"construct":[44],"the":[45],"use":[50],"these":[51],"features":[53],"as":[54],"attributes":[55],"in":[56],"a":[57,75],"regression":[58],"model.":[59],"this":[62],"methodology":[63],"peptides":[69],"achieving":[70],"better":[71],"predictive":[72],"accuracies":[73],"than":[74],"state-of-the-art":[76],"approach.":[77]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
