{"id":"https://openalex.org/W2771598512","doi":"https://doi.org/10.1109/bibm.2017.8218035","title":"A deep-learning framework for amidation site prediction","display_name":"A deep-learning framework for amidation site prediction","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2771598512","doi":"https://doi.org/10.1109/bibm.2017.8218035","mag":"2771598512"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2017.8218035","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2017.8218035","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"conference-abstract","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/A5047118242","display_name":"Penghui Shang","orcid":"https://orcid.org/0000-0001-8908-7410"},"institutions":[{"id":"https://openalex.org/I4777552","display_name":"University of Missouri System","ror":"https://ror.org/032va1j59","country_code":"US","type":"education","lineage":["https://openalex.org/I4777552"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Penghui Shang","raw_affiliation_strings":["University of Missouri System, Columbia, MO, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Missouri System, Columbia, MO, US","institution_ids":["https://openalex.org/I4777552"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003943520","display_name":"Duolin Wang","orcid":"https://orcid.org/0000-0003-1649-460X"},"institutions":[{"id":"https://openalex.org/I4777552","display_name":"University of Missouri System","ror":"https://ror.org/032va1j59","country_code":"US","type":"education","lineage":["https://openalex.org/I4777552"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Duolin Wang","raw_affiliation_strings":["University of Missouri System, Columbia, MO, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Missouri System, Columbia, MO, US","institution_ids":["https://openalex.org/I4777552"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024811227","display_name":"Dongpeng Liu","orcid":"https://orcid.org/0000-0001-5587-7123"},"institutions":[{"id":"https://openalex.org/I4777552","display_name":"University of Missouri System","ror":"https://ror.org/032va1j59","country_code":"US","type":"education","lineage":["https://openalex.org/I4777552"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dongpeng Liu","raw_affiliation_strings":["University of Missouri System, Columbia, MO, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Missouri System, Columbia, MO, US","institution_ids":["https://openalex.org/I4777552"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082428303","display_name":"Dong Xu","orcid":"https://orcid.org/0000-0002-4809-0514"},"institutions":[{"id":"https://openalex.org/I4777552","display_name":"University of Missouri System","ror":"https://ror.org/032va1j59","country_code":"US","type":"education","lineage":["https://openalex.org/I4777552"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dong Xu","raw_affiliation_strings":["University of Missouri System, Columbia, MO, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Missouri System, Columbia, MO, US","institution_ids":["https://openalex.org/I4777552"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4777552"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2302","last_page":"2302"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9864000082015991,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9864000082015991,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7344047427177429},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6775200366973877},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6734647750854492},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6365746259689331},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.589746356010437},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5173970460891724},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.4949132800102234},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4931020438671112},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4644942581653595},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4294125437736511},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.06641104817390442}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7344047427177429},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6775200366973877},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6734647750854492},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6365746259689331},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.589746356010437},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5173970460891724},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4949132800102234},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4931020438671112},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4644942581653595},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4294125437736511},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.06641104817390442},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm.2017.8218035","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2017.8218035","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2032233321","https://openalex.org/W3121970507","https://openalex.org/W2110028391","https://openalex.org/W54497855","https://openalex.org/W217960748","https://openalex.org/W3125814499","https://openalex.org/W2090827041","https://openalex.org/W2094012830","https://openalex.org/W187246281","https://openalex.org/W2079194830"],"abstract_inverted_index":{"Amidation":[0],"plays":[1],"an":[2],"important":[3],"role":[4],"in":[5,49],"a":[6,60,95],"variety":[7],"of":[8,21,83,100],"pathological":[9],"processes":[10],"and":[11,17,32,91],"serious":[12],"diseases":[13],"like":[14],"neural":[15],"dysfunction":[16],"hypertension.":[18],"However,":[19],"identification":[20],"protein":[22,89],"amidation":[23,39,65,84,101],"sites":[24,40],"through":[25],"traditional":[26],"experimental":[27],"methods":[28,36],"is":[29],"time":[30],"consuming":[31],"expensive.":[33],"Existing":[34],"computational":[35],"for":[37,64,98],"predicting":[38],"are":[41],"based":[42],"on":[43],"feature":[44],"extraction,":[45],"which":[46],"may":[47],"result":[48],"incomplete":[50],"or":[51],"biased":[52],"features.":[53],"To":[54],"address":[55],"these":[56],"issues,":[57],"we":[58],"proposed":[59],"novel":[61],"deep-learning":[62],"predictor":[63],"sites.":[66],"Deep":[67],"learning":[68,73],"as":[69],"the":[70,76,87],"cutting-edge":[71],"machine":[72],"method":[74],"has":[75],"ability":[77],"to":[78],"automatically":[79],"discover":[80],"complex":[81],"representations":[82],"patterns":[85],"from":[86],"raw":[88],"sequences,":[90],"hence":[92],"it":[93],"provides":[94],"powerful":[96],"tool":[97],"improvement":[99],"site":[102],"prediction.":[103]},"counts_by_year":[],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
