{"id":"https://openalex.org/W2786457740","doi":"https://doi.org/10.1109/la-cci.2017.8285678","title":"A deep bidirectional long short-term memory approach applied to the protein secondary structure prediction problem","display_name":"A deep bidirectional long short-term memory approach applied to the protein secondary structure prediction problem","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2786457740","doi":"https://doi.org/10.1109/la-cci.2017.8285678","mag":"2786457740"},"language":"en","primary_location":{"id":"doi:10.1109/la-cci.2017.8285678","is_oa":false,"landing_page_url":"https://doi.org/10.1109/la-cci.2017.8285678","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Latin American Conference on Computational Intelligence (LA-CCI)","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/A5037903828","display_name":"Leandro Takeshi Hattori","orcid":"https://orcid.org/0000-0002-1945-6855"},"institutions":[{"id":"https://openalex.org/I1283613182","display_name":"Universidade Tecnol\u00f3gica Federal do Paran\u00e1","ror":"https://ror.org/002v2kq79","country_code":"BR","type":"education","lineage":["https://openalex.org/I1283613182"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Leandro Takeshi Hattori","raw_affiliation_strings":["Bioinformatics and Computational Intelligence Laboratory, Federal University of Technology-Parana, Curitiba, Brazil"],"affiliations":[{"raw_affiliation_string":"Bioinformatics and Computational Intelligence Laboratory, Federal University of Technology-Parana, Curitiba, Brazil","institution_ids":["https://openalex.org/I1283613182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028825007","display_name":"C\u00e9sar Manuel Vargas Ben\u00edtez","orcid":"https://orcid.org/0000-0002-5691-5432"},"institutions":[{"id":"https://openalex.org/I1283613182","display_name":"Universidade Tecnol\u00f3gica Federal do Paran\u00e1","ror":"https://ror.org/002v2kq79","country_code":"BR","type":"education","lineage":["https://openalex.org/I1283613182"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Cesar Manuel Vargas Benitez","raw_affiliation_strings":["Bioinf. & Comput. Intell. Lab., Fed. Univ. of Technol.-Parana, Curitiba, Brazil"],"affiliations":[{"raw_affiliation_string":"Bioinf. & Comput. Intell. Lab., Fed. Univ. of Technol.-Parana, Curitiba, Brazil","institution_ids":["https://openalex.org/I1283613182"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019757557","display_name":"Heitor Silv\u00e9rio Lopes","orcid":"https://orcid.org/0000-0003-3984-1432"},"institutions":[{"id":"https://openalex.org/I1283613182","display_name":"Universidade Tecnol\u00f3gica Federal do Paran\u00e1","ror":"https://ror.org/002v2kq79","country_code":"BR","type":"education","lineage":["https://openalex.org/I1283613182"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Heitor Silverio Lopes","raw_affiliation_strings":["Bioinformatics and Computational Intelligence Laboratory, Federal University of Technology-Parana, Curitiba, Brazil"],"affiliations":[{"raw_affiliation_string":"Bioinformatics and Computational Intelligence Laboratory, Federal University of Technology-Parana, Curitiba, Brazil","institution_ids":["https://openalex.org/I1283613182"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5037903828"],"corresponding_institution_ids":["https://openalex.org/I1283613182"],"apc_list":null,"apc_paid":null,"fwci":0.5317,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.65809564,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10044","display_name":"Protein Structure and Dynamics","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/T10044","display_name":"Protein Structure and Dynamics","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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9991999864578247,"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/T10211","display_name":"Computational Drug Discovery Methods","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/term","display_name":"Term (time)","score":0.6849241852760315},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6810360550880432},{"id":"https://openalex.org/keywords/long-short-term-memory","display_name":"Long short term memory","score":0.5011045932769775},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30720436573028564},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.21511894464492798},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.1367819905281067},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.05727583169937134}],"concepts":[{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.6849241852760315},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6810360550880432},{"id":"https://openalex.org/C133488467","wikidata":"https://www.wikidata.org/wiki/Q6673524","display_name":"Long short term memory","level":4,"score":0.5011045932769775},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30720436573028564},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.21511894464492798},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.1367819905281067},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.05727583169937134},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/la-cci.2017.8285678","is_oa":false,"landing_page_url":"https://doi.org/10.1109/la-cci.2017.8285678","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Latin American Conference on Computational Intelligence (LA-CCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W114517082","https://openalex.org/W1522301498","https://openalex.org/W1566494824","https://openalex.org/W1930795817","https://openalex.org/W1969051510","https://openalex.org/W1980287119","https://openalex.org/W2005539608","https://openalex.org/W2005708641","https://openalex.org/W2008708467","https://openalex.org/W2025822492","https://openalex.org/W2061500593","https://openalex.org/W2061663059","https://openalex.org/W2064675550","https://openalex.org/W2095450147","https://openalex.org/W2095705004","https://openalex.org/W2104972430","https://openalex.org/W2106693479","https://openalex.org/W2107878631","https://openalex.org/W2129588870","https://openalex.org/W2130357646","https://openalex.org/W2138072853","https://openalex.org/W2140992384","https://openalex.org/W2146502635","https://openalex.org/W2153153865","https://openalex.org/W2153187042","https://openalex.org/W2156387975","https://openalex.org/W2554247923","https://openalex.org/W2566370974","https://openalex.org/W2919115771","https://openalex.org/W2963457143","https://openalex.org/W6674330103","https://openalex.org/W6679333912","https://openalex.org/W6681435938","https://openalex.org/W6682889407"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"One":[0],"of":[1,19,27,46,58,79,92],"the":[2,10,16,44,47,51,55,59,72,84,90,97,111],"most":[3],"important":[4],"open":[5],"problems":[6],"in":[7],"science":[8],"is":[9],"protein":[11,17],"secondary":[12],"structures":[13],"prediction":[14],"from":[15],"sequence":[18],"amino":[20],"acids.":[21],"This":[22],"work":[23],"presents":[24],"an":[25],"application":[26],"Deep":[28],"Recurrent":[29],"Neural":[30,63],"Network":[31,64],"with":[32,50,66,83],"Bidirectional":[33],"Long":[34],"Short-Term":[35],"Memory":[36],"(DBLSTM)":[37],"cells":[38],"to":[39,96,109],"this":[40,100],"problem.":[41],"We":[42,87],"compare":[43],"performance":[45],"proposed":[48,60,112],"approach":[49,61],"state-of-the-art":[52,85],"approaches.":[53,86],"Despite":[54],"lower":[56],"complexity":[57],"(i.e.":[62],"architecture":[65],"fewer":[67],"neurons),":[68],"results":[69],"showed":[70],"that":[71],"DBLSTM":[73],"could":[74],"achieve":[75],"a":[76],"satisfactory":[77],"level":[78],"accuracy":[80],"when":[81],"compared":[82],"also":[88],"studied":[89],"behavior":[91],"Gradient":[93],"Optimizers":[94],"applied":[95,108],"DBLSTM.":[98],"Furthermore,":[99],"paper":[101],"concentrates":[102],"on":[103],"well-known":[104],"quantitative":[105],"analytical":[106],"methods":[107],"evaluate":[110],"approach.":[113]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}