{"id":"https://openalex.org/W2972947366","doi":"https://doi.org/10.1145/3307339.3343173","title":"Employing Deep Learning to Study Biomolecules","display_name":"Employing Deep Learning to Study Biomolecules","publication_year":2019,"publication_date":"2019-09-04","ids":{"openalex":"https://openalex.org/W2972947366","doi":"https://doi.org/10.1145/3307339.3343173","mag":"2972947366"},"language":"en","primary_location":{"id":"doi:10.1145/3307339.3343173","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3307339.3343173","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics","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/A5044587037","display_name":"Daniel Veltri","orcid":"https://orcid.org/0000-0002-6101-6693"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Daniel Veltri","raw_affiliation_strings":["NIH / Medical Science and Computing LLC, Rockville, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NIH / Medical Science and Computing LLC, Rockville, MD, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103139709","display_name":"Kevin Molloy","orcid":"https://orcid.org/0000-0002-9859-7604"},"institutions":[{"id":"https://openalex.org/I11883440","display_name":"James Madison University","ror":"https://ror.org/028pmsz77","country_code":"US","type":"education","lineage":["https://openalex.org/I11883440"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kevin Molloy","raw_affiliation_strings":["James Madison University, Harrisonburg, VA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"James Madison University, Harrisonburg, VA, USA","institution_ids":["https://openalex.org/I11883440"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08434435,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"554","last_page":"554"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13937","display_name":"Genetics, Bioinformatics, and Biomedical Research","score":0.9905999898910522,"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/T13937","display_name":"Genetics, Bioinformatics, and Biomedical Research","score":0.9905999898910522,"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":0.9549000263214111,"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":0.9254999756813049,"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/computer-science","display_name":"Computer science","score":0.7826613187789917},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7363332509994507},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.7351208925247192},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7145941853523254},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4788358509540558},{"id":"https://openalex.org/keywords/upload","display_name":"Upload","score":0.4676591455936432},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.44578683376312256},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3611559271812439},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.24289336800575256},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.16550549864768982}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7826613187789917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7363332509994507},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.7351208925247192},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7145941853523254},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4788358509540558},{"id":"https://openalex.org/C71901391","wikidata":"https://www.wikidata.org/wiki/Q7126699","display_name":"Upload","level":2,"score":0.4676591455936432},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.44578683376312256},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3611559271812439},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.24289336800575256},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.16550549864768982}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3307339.3343173","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3307339.3343173","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2341492732","https://openalex.org/W3187193180","https://openalex.org/W106542691","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3029198973","https://openalex.org/W4380075502"],"abstract_inverted_index":{"Deep":[0,31],"learning":[1,11,74],"and":[2,12,22,66,85,94,116,121,141,167,174,180],"neural":[3,111,114],"networks":[4],"are":[5,20],"at":[6],"the":[7,35,44,61,71,92,99,106,172],"frontier":[8],"of":[9,17,48,55,109,129],"machine":[10],"artificial":[13],"intelligence.":[14],"The":[15,53],"applications":[16,25],"these":[18,130],"methods":[19],"vast":[21],"include":[23],"many":[24],"within":[26],"bioscience.":[27],"Most":[28],"recently,":[29],"Google's":[30,82],"Mind":[32],"project":[33],"stunned":[34],"protein":[36],"structure":[37],"prediction":[38,50],"community":[39],"with":[40,81],"their":[41,169],"performance":[42],"in":[43,146],"last":[45],"critical":[46],"assessment":[47],"structural":[49],"(CASP)":[51],"competition.":[52],"objective":[54],"this":[56],"tutorial":[57,62,100],"is":[58],"three-fold.":[59],"First,":[60],"will":[63,78,87,101,124,153,162],"introduce":[64],"students":[65],"researchers":[67],"that":[68],"attend":[69],"to":[70,104,149,165,182],"Keras":[72],"deep":[73],"framework.":[75],"This":[76],"library":[77],"be":[79,88,125],"paired":[80],"TensorFlow":[83],"backend":[84],"examples":[86,120],"shown":[89],"utilizing":[90],"both":[91],"Python":[93],"R":[95],"programming":[96],"languages.":[97],"Second,":[98],"allow":[102,163],"attendees":[103,164],"learn":[105],"basic":[107],"concepts":[108,156],"convolutional":[110],"networks,":[112,115],"recurrent":[113],"transfer":[117],"learning.":[118],"Hands-on":[119],"sample":[122],"code":[123],"provided":[126],"for":[127],"each":[128],"separate":[131],"topics":[132],"using":[133],"classic":[134],"example":[135],"problems":[136],"(such":[137],"as":[138],"image":[139],"recognition/classification":[140],"text-mining/sentiment":[142],"analysis).":[143],"Third,":[144],"an":[145],"class":[147],"competition":[148],"identify":[150],"antimicrobial":[151],"peptides":[152],"employ":[154],"multiple":[155],"collectively.":[157],"An":[158],"accompanying":[159],"web":[160],"server":[161],"upload":[166],"evaluate":[168],"models":[170],"on":[171],"fly":[173],"further":[175],"see":[176],"how":[177],"it":[178],"ranks":[179],"compares":[181],"others.":[183]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
