{"id":"https://openalex.org/W3007054260","doi":"https://doi.org/10.1109/bigdata47090.2019.9006253","title":"Designing Novel Functional Peptides by Manipulating a Temperature in the Softmax Function Coupled with Variational Autoencoder","display_name":"Designing Novel Functional Peptides by Manipulating a Temperature in the Softmax Function Coupled with Variational Autoencoder","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3007054260","doi":"https://doi.org/10.1109/bigdata47090.2019.9006253","mag":"3007054260"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata47090.2019.9006253","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9006253","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5063723827","display_name":"Shuan Chen","orcid":"https://orcid.org/0000-0002-5528-5272"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Shuan Chen","raw_affiliation_strings":["Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048072583","display_name":"Hyun Uk Kim","orcid":"https://orcid.org/0000-0001-7224-642X"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyun Uk Kim","raw_affiliation_strings":["Department of Chemical and Biomolecular Engineering, KAIST Institute for Artificial Intelligence, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Chemical and Biomolecular Engineering, KAIST Institute for Artificial Intelligence, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6010","last_page":"6012"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11103","display_name":"Antimicrobial Peptides and Activities","score":1.0,"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":1.0,"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":0.9868000149726868,"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":0.9854000210762024,"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/softmax-function","display_name":"Softmax function","score":0.9181989431381226},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.8806992173194885},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.6846856474876404},{"id":"https://openalex.org/keywords/peptide","display_name":"Peptide","score":0.5018815994262695},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4977615177631378},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4916566014289856},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.481319785118103},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3543209433555603},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.2866346836090088},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2139783799648285},{"id":"https://openalex.org/keywords/biochemistry","display_name":"Biochemistry","score":0.14209502935409546},{"id":"https://openalex.org/keywords/cell-biology","display_name":"Cell biology","score":0.05793869495391846}],"concepts":[{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.9181989431381226},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8806992173194885},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.6846856474876404},{"id":"https://openalex.org/C2779281246","wikidata":"https://www.wikidata.org/wiki/Q172847","display_name":"Peptide","level":2,"score":0.5018815994262695},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4977615177631378},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4916566014289856},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.481319785118103},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3543209433555603},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.2866346836090088},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2139783799648285},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.14209502935409546},{"id":"https://openalex.org/C95444343","wikidata":"https://www.wikidata.org/wiki/Q7141","display_name":"Cell biology","level":1,"score":0.05793869495391846}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata47090.2019.9006253","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9006253","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1959608418","https://openalex.org/W2067402644","https://openalex.org/W2075892592","https://openalex.org/W2099153308","https://openalex.org/W2147454197","https://openalex.org/W2163316049","https://openalex.org/W2175270296","https://openalex.org/W2784920021","https://openalex.org/W2806146459","https://openalex.org/W2896869870","https://openalex.org/W4289378287","https://openalex.org/W6640963894","https://openalex.org/W6755516803"],"related_works":["https://openalex.org/W3107204728","https://openalex.org/W4287591324","https://openalex.org/W4226420367","https://openalex.org/W2769441402","https://openalex.org/W2594436708","https://openalex.org/W4360994128","https://openalex.org/W3086240734","https://openalex.org/W2736305774","https://openalex.org/W2951850672","https://openalex.org/W2789476480"],"abstract_inverted_index":{"Development":[0],"of":[1,47,90,155],"an":[2],"efficient":[3],"peptide":[4,66,91],"design":[5,46],"method":[6,125,139],"is":[7,52,97,126],"crucial":[8],"for":[9,18,25,44,64,128,145],"tackling":[10],"medical":[11],"problems,":[12],"such":[13],"as":[14],"designing":[15,129,146],"antimicrobial":[16,131],"peptides":[17,24,119,134,148],"combating":[19],"drug-resistant":[20],"pathogens":[21],"and":[22,132],"anticancer":[23,133],"various":[26,147],"cancers.":[27],"Here,":[28],"we":[29,71,114],"present":[30],"Variational":[31],"Autoencoder":[32],"(VAE)":[33],"coupled":[34],"with":[35,77,120,149],"a":[36,40,53,74,102,121,150],"Softmax":[37,75,112],"function":[38,76,152],"having":[39],"temperature":[41],"factor":[42],"(T)":[43],"high-throughput":[45],"novel":[48,130],"functional":[49],"peptides.":[50],"VAE":[51],"generative":[54],"machine":[55],"learning":[56],"model,":[57],"which":[58,96],"has":[59],"proved":[60],"to":[61,79,93,99],"be":[62,94,143],"useful":[63,144],"generating":[65],"sequences.":[67],"In":[68,105],"this":[69,136],"study,":[70],"additionally":[72],"use":[73],"T":[78,109],"facilitate":[80],"determining":[81],"the":[82,111],"most":[83,117],"probable":[84],"amino":[85],"acids":[86],"at":[87],"each":[88],"position":[89],"sequences":[92],"generated,":[95],"difficult":[98],"achieve":[100],"using":[101],"conventional":[103],"VAE.":[104],"particular,":[106],"by":[107],"manipulating":[108],"in":[110,135],"function,":[113],"select":[115],"biologically":[116],"feasible":[118],"desired":[122,151],"function.":[123],"This":[124],"demonstrated":[127],"study.":[137],"The":[138],"presented":[140],"herein":[141],"should":[142],"upon":[153],"availability":[154],"relevant":[156],"datasets.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
