{"id":"https://openalex.org/W2888689618","doi":"https://doi.org/10.1145/3233547.3233607","title":"Graphic Encoding of Macromolecules for Efficient High-Throughput Analysis","display_name":"Graphic Encoding of Macromolecules for Efficient High-Throughput Analysis","publication_year":2018,"publication_date":"2018-08-15","ids":{"openalex":"https://openalex.org/W2888689618","doi":"https://doi.org/10.1145/3233547.3233607","mag":"2888689618"},"language":"en","primary_location":{"id":"doi:10.1145/3233547.3233607","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3233547.3233607","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3233547.3233607","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3233547.3233607","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073203270","display_name":"Trilce Estrada","orcid":"https://orcid.org/0000-0001-7743-8754"},"institutions":[{"id":"https://openalex.org/I169521973","display_name":"University of New Mexico","ror":"https://ror.org/05fs6jp91","country_code":"US","type":"education","lineage":["https://openalex.org/I169521973"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Trilce Estrada","raw_affiliation_strings":["University of New Mexico, Albuquerque, NM, USA"],"affiliations":[{"raw_affiliation_string":"University of New Mexico, Albuquerque, NM, USA","institution_ids":["https://openalex.org/I169521973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029128893","display_name":"Jeremy Benson","orcid":"https://orcid.org/0000-0002-5686-2211"},"institutions":[{"id":"https://openalex.org/I169521973","display_name":"University of New Mexico","ror":"https://ror.org/05fs6jp91","country_code":"US","type":"education","lineage":["https://openalex.org/I169521973"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeremy Benson","raw_affiliation_strings":["University of New Mexico, Albuquerque, NM, USA"],"affiliations":[{"raw_affiliation_string":"University of New Mexico, Albuquerque, NM, USA","institution_ids":["https://openalex.org/I169521973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058227054","display_name":"Hector Carrillo-Cabada","orcid":"https://orcid.org/0000-0002-5823-9909"},"institutions":[{"id":"https://openalex.org/I169521973","display_name":"University of New Mexico","ror":"https://ror.org/05fs6jp91","country_code":"US","type":"education","lineage":["https://openalex.org/I169521973"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hector Carrillo-Cabada","raw_affiliation_strings":["University of New Mexico, Albuquerque, NM, USA"],"affiliations":[{"raw_affiliation_string":"University of New Mexico, Albuquerque, NM, USA","institution_ids":["https://openalex.org/I169521973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087154415","display_name":"Asghar M. Razavi","orcid":"https://orcid.org/0000-0003-4639-5856"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Asghar M. Razavi","raw_affiliation_strings":["Weill Cornell Medical College, Cornell University, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Weill Cornell Medical College, Cornell University, New York, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082584620","display_name":"Michel A. Cuendet","orcid":"https://orcid.org/0000-0002-0754-3425"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michel A. Cuendet","raw_affiliation_strings":["Weill Cornell Medical College, Cornell University, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Weill Cornell Medical College, Cornell University, New York, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014370221","display_name":"Harel Weinstein","orcid":"https://orcid.org/0000-0003-3473-9818"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Harel Weinstein","raw_affiliation_strings":["Weill Cornell Medical College, Cornell University, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Weill Cornell Medical College, Cornell University, New York, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031941569","display_name":"Ewa Deelman","orcid":"https://orcid.org/0000-0001-5106-503X"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ewa Deelman","raw_affiliation_strings":["University of Southern California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078387820","display_name":"Michela Taufer","orcid":"https://orcid.org/0000-0002-0031-6377"},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michela Taufer","raw_affiliation_strings":["University of Tennessee at Knoxville, Knoxville, TN, USA"],"affiliations":[{"raw_affiliation_string":"University of Tennessee at Knoxville, Knoxville, TN, USA","institution_ids":["https://openalex.org/I75027704"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5073203270"],"corresponding_institution_ids":["https://openalex.org/I169521973"],"apc_list":null,"apc_paid":null,"fwci":0.7741,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.81952067,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"315","last_page":"324"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"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/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.9886999726295471,"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":0.9830999970436096,"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/encoding","display_name":"Encoding (memory)","score":0.7674082517623901},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7411746978759766},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6059306859970093},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5730214715003967},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5519977807998657},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.5317448973655701},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43223845958709717},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3777060806751251},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3549458384513855}],"concepts":[{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.7674082517623901},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7411746978759766},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6059306859970093},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5730214715003967},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5519977807998657},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.5317448973655701},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43223845958709717},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3777060806751251},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3549458384513855},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3233547.3233607","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3233547.3233607","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3233547.3233607","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3233547.3233607","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3233547.3233607","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3233547.3233607","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G3666695478","display_name":null,"funder_award_id":"BIGDATA","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3774571","display_name":null,"funder_award_id":"1453430","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6671297155","display_name":null,"funder_award_id":"CAREER","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7361260079","display_name":null,"funder_award_id":"1741057, 1453430","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2888689618.pdf","grobid_xml":"https://content.openalex.org/works/W2888689618.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1492233634","https://openalex.org/W1513175642","https://openalex.org/W1519081160","https://openalex.org/W1676087401","https://openalex.org/W1686810756","https://openalex.org/W1978743178","https://openalex.org/W1995808589","https://openalex.org/W2002738511","https://openalex.org/W2011039300","https://openalex.org/W2036026175","https://openalex.org/W2041749630","https://openalex.org/W2058119134","https://openalex.org/W2074231493","https://openalex.org/W2081294880","https://openalex.org/W2087064593","https://openalex.org/W2095581275","https://openalex.org/W2098223336","https://openalex.org/W2103017472","https://openalex.org/W2112946416","https://openalex.org/W2117539524","https://openalex.org/W2129244579","https://openalex.org/W2144686793","https://openalex.org/W2161311439","https://openalex.org/W2163878064","https://openalex.org/W2183341477","https://openalex.org/W2268614568","https://openalex.org/W2283942397","https://openalex.org/W2500750172","https://openalex.org/W2583752887","https://openalex.org/W2584305206","https://openalex.org/W2585901172","https://openalex.org/W2592175280","https://openalex.org/W2604808360","https://openalex.org/W2612445135","https://openalex.org/W2615066396","https://openalex.org/W2619480236","https://openalex.org/W2754293187","https://openalex.org/W2765311781","https://openalex.org/W2779910604","https://openalex.org/W2790808809","https://openalex.org/W2889498145","https://openalex.org/W2963318898","https://openalex.org/W4230323859","https://openalex.org/W4297775537"],"related_works":["https://openalex.org/W2136583354","https://openalex.org/W2111238207","https://openalex.org/W2760721665","https://openalex.org/W2062195135","https://openalex.org/W330130819","https://openalex.org/W2288610023","https://openalex.org/W2112044895","https://openalex.org/W3121416282","https://openalex.org/W2355022049","https://openalex.org/W2060429446"],"abstract_inverted_index":{"The":[0],"function":[1,20,62],"of":[2,34,68,75,93,102],"a":[3,17,32,50,81],"protein":[4,61],"depends":[5],"on":[6,13],"its":[7],"three-dimensional":[8],"structure.":[9],"Current":[10],"approaches":[11],"based":[12],"homology":[14],"for":[15,109],"predicting":[16],"given":[18],"protein's":[19],"do":[21],"not":[22],"work":[23],"well":[24],"at":[25],"scale.":[26],"In":[27,46],"this":[28],"work,":[29],"we":[30,48],"propose":[31],"representation":[33,58],"proteins":[35,106],"that":[36,54],"explicitly":[37],"encodes":[38],"secondary":[39],"and":[40,72,104],"tertiary":[41],"structure":[42],"into":[43],"fix-sized":[44],"images.":[45],"addition,":[47],"present":[49],"neural":[51,77],"network":[52,78],"architecture":[53,79],"exploits":[55],"our":[56,69,76],"data":[57],"to":[59,113],"perform":[60],"prediction.":[63],"We":[64],"validate":[65],"the":[66,73],"effectiveness":[67],"encoding":[70,103],"method":[71],"strength":[74],"through":[80],"5-fold":[82],"cross":[83],"validation":[84],"over":[85],"roughly":[86],"63":[87],"thousand":[88],"images,":[89],"achieving":[90],"an":[91],"accuracy":[92],"80%":[94],"across":[95],"8":[96],"distinct":[97],"classes.":[98],"Our":[99],"novel":[100],"approach":[101],"classifying":[105],"is":[107],"suitable":[108],"real-time":[110],"processing,":[111],"leading":[112],"high-throughput":[114],"analysis.":[115]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}