{"id":"https://openalex.org/W3017388661","doi":"https://doi.org/10.1186/s12859-020-3488-8","title":"Identifying GPCR-drug interaction based on wordbook learning from sequences","display_name":"Identifying GPCR-drug interaction based on wordbook learning from sequences","publication_year":2020,"publication_date":"2020-04-20","ids":{"openalex":"https://openalex.org/W3017388661","doi":"https://doi.org/10.1186/s12859-020-3488-8","mag":"3017388661","pmid":"https://pubmed.ncbi.nlm.nih.gov/32312232"},"language":"en","primary_location":{"id":"doi:10.1186/s12859-020-3488-8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-020-3488-8","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-020-3488-8","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-020-3488-8","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100383534","display_name":"Pu Wang","orcid":"https://orcid.org/0000-0003-1988-5016"},"institutions":[{"id":"https://openalex.org/I4210113795","display_name":"Hubei University of Arts and Science","ror":"https://ror.org/0212jcf64","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210113795"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pu Wang","raw_affiliation_strings":["Computer School, Hubei University of Arts and Science, Xiangyang, 441053, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer School, Hubei University of Arts and Science, Xiangyang, 441053, China","institution_ids":["https://openalex.org/I4210113795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101752966","display_name":"Xiaotong Huang","orcid":"https://orcid.org/0000-0002-2240-8598"},"institutions":[{"id":"https://openalex.org/I4210113795","display_name":"Hubei University of Arts and Science","ror":"https://ror.org/0212jcf64","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210113795"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaotong Huang","raw_affiliation_strings":["Computer School, Hubei University of Arts and Science, Xiangyang, 441053, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer School, Hubei University of Arts and Science, Xiangyang, 441053, China","institution_ids":["https://openalex.org/I4210113795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032406968","display_name":"Wang\u2010Ren Qiu","orcid":"https://orcid.org/0000-0001-7659-8553"},"institutions":[{"id":"https://openalex.org/I105991555","display_name":"Jingdezhen Ceramic Institute","ror":"https://ror.org/01d0jcz74","country_code":"CN","type":"education","lineage":["https://openalex.org/I105991555"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wangren Qiu","raw_affiliation_strings":["Computer Department, Jingdezhen Ceramic Institute, Jingdezhen, 333403, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Department, Jingdezhen Ceramic Institute, Jingdezhen, 333403, China","institution_ids":["https://openalex.org/I105991555"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033602780","display_name":"Xuan Xiao","orcid":"https://orcid.org/0000-0003-1016-7544"},"institutions":[{"id":"https://openalex.org/I105991555","display_name":"Jingdezhen Ceramic Institute","ror":"https://ror.org/01d0jcz74","country_code":"CN","type":"education","lineage":["https://openalex.org/I105991555"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuan Xiao","raw_affiliation_strings":["Computer Department, Jingdezhen Ceramic Institute, Jingdezhen, 333403, China. jdzxiaoxuan@163.com","Computer Department, Jingdezhen Ceramic Institute, Jingdezhen, 333403, China"],"raw_orcid":"https://orcid.org/0000-0003-1016-7544","affiliations":[{"raw_affiliation_string":"Computer Department, Jingdezhen Ceramic Institute, Jingdezhen, 333403, China. jdzxiaoxuan@163.com","institution_ids":["https://openalex.org/I105991555"]},{"raw_affiliation_string":"Computer Department, Jingdezhen Ceramic Institute, Jingdezhen, 333403, China","institution_ids":["https://openalex.org/I105991555"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5033602780"],"corresponding_institution_ids":["https://openalex.org/I105991555"],"apc_list":{"value":2790,"currency":"USD","value_usd":2790},"apc_paid":{"value":2790,"currency":"USD","value_usd":2790},"fwci":1.3931,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.85253437,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"21","issue":"1","first_page":"150","last_page":"150"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.3691999912261963,"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"}},"topics":[{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.3691999912261963,"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"}},{"id":"https://openalex.org/T11178","display_name":"Receptor Mechanisms and Signaling","score":0.241799995303154,"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":0.20059999823570251,"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/g-protein-coupled-receptor","display_name":"G protein-coupled receptor","score":0.7174060344696045},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6165230870246887},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.529165506362915},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4766610264778137},{"id":"https://openalex.org/keywords/drug-discovery","display_name":"Drug discovery","score":0.461725652217865},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41394883394241333},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.3338649868965149},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.20880499482154846},{"id":"https://openalex.org/keywords/receptor","display_name":"Receptor","score":0.12413179874420166},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.07875511050224304}],"concepts":[{"id":"https://openalex.org/C135285700","wikidata":"https://www.wikidata.org/wiki/Q38173","display_name":"G protein-coupled receptor","level":3,"score":0.7174060344696045},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6165230870246887},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.529165506362915},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4766610264778137},{"id":"https://openalex.org/C74187038","wikidata":"https://www.wikidata.org/wiki/Q1418791","display_name":"Drug discovery","level":2,"score":0.461725652217865},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41394883394241333},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.3338649868965149},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.20880499482154846},{"id":"https://openalex.org/C170493617","wikidata":"https://www.wikidata.org/wiki/Q208467","display_name":"Receptor","level":2,"score":0.12413179874420166},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.07875511050224304}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000595","descriptor_name":"Amino Acid Sequence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000595","descriptor_name":"Amino Acid Sequence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000595","descriptor_name":"Amino Acid Sequence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000595","descriptor_name":"Amino Acid Sequence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004347","descriptor_name":"Drug Interactions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004347","descriptor_name":"Drug Interactions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004347","descriptor_name":"Drug Interactions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004347","descriptor_name":"Drug Interactions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019540","descriptor_name":"Area Under Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019540","descriptor_name":"Area Under Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019540","descriptor_name":"Area Under Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019540","descriptor_name":"Area Under Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D030562","descriptor_name":"Databases, Protein","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D030562","descriptor_name":"Databases, Protein","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D030562","descriptor_name":"Databases, Protein","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D030562","descriptor_name":"Databases, Protein","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D043562","descriptor_name":"Receptors, G-Protein-Coupled","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D043562","descriptor_name":"Receptors, G-Protein-Coupled","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D043562","descriptor_name":"Receptors, G-Protein-Coupled","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D043562","descriptor_name":"Receptors, G-Protein-Coupled","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12859-020-3488-8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-020-3488-8","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-020-3488-8","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},{"id":"pmid:32312232","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32312232","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC bioinformatics","raw_type":null},{"id":"pmh:oai:doaj.org/article:1b5a16a5e87246b3a7055fd5246bcd02","is_oa":true,"landing_page_url":"https://doaj.org/article/1b5a16a5e87246b3a7055fd5246bcd02","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics, Vol 21, Iss 1, Pp 1-17 (2020)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:7171867","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7171867","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/s12859-020-3488-8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-020-3488-8","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-020-3488-8","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2083062581","display_name":"\u57fa\u4e8e\u4e0d\u5e73\u8861\u591a\u6807\u7b7e\u6570\u636e\u5904\u7406\u6280\u672f\u7684\u86cb\u767d\u8d28\u4fee\u9970\u82e5\u5e72\u95ee\u9898\u7814\u7a76","funder_award_id":"31760315","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2457610141","display_name":"\u57fa\u4e8e\u667a\u80fd\u8ba1\u7b97\u7684\u86cb\u767d\u8d28\u8fdb\u5316\u7814\u7a76","funder_award_id":"31560316","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G253460150","display_name":null,"funder_award_id":"61841104","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7563554493","display_name":"\u96c6\u6210\u5b66\u4e60\u6846\u67b6\u4e0b\u7684DNA\u542f\u52a8\u5b50\u5206\u7c7b\u53ca\u5176\u7532\u57fa\u5316\u9884\u6d4b\u7814\u7a76","funder_award_id":"31860312","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8273312960","display_name":null,"funder_award_id":"2019CFC870","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322186","display_name":"Natural Science Foundation of Hubei Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3017388661.pdf","grobid_xml":"https://content.openalex.org/works/W3017388661.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W1135792216","https://openalex.org/W1904592173","https://openalex.org/W1974477738","https://openalex.org/W1975304761","https://openalex.org/W1979537657","https://openalex.org/W1981385111","https://openalex.org/W1991919669","https://openalex.org/W2009313526","https://openalex.org/W2014731953","https://openalex.org/W2025577942","https://openalex.org/W2032790231","https://openalex.org/W2034070267","https://openalex.org/W2043338013","https://openalex.org/W2047567287","https://openalex.org/W2079104124","https://openalex.org/W2087064593","https://openalex.org/W2105175831","https://openalex.org/W2108069034","https://openalex.org/W2130695501","https://openalex.org/W2153838454","https://openalex.org/W2162525969","https://openalex.org/W2165674132","https://openalex.org/W2169678694","https://openalex.org/W2189308973","https://openalex.org/W2272454779","https://openalex.org/W2498305642","https://openalex.org/W2512819857","https://openalex.org/W2604857886","https://openalex.org/W2765153686","https://openalex.org/W2769531763","https://openalex.org/W2784083480","https://openalex.org/W2795004691","https://openalex.org/W2802441085","https://openalex.org/W2805086457","https://openalex.org/W2883974877","https://openalex.org/W2888273069","https://openalex.org/W2891838559","https://openalex.org/W2902557437","https://openalex.org/W2913379687","https://openalex.org/W2913535288","https://openalex.org/W2923682152","https://openalex.org/W2935632020","https://openalex.org/W2938252891","https://openalex.org/W2945755098","https://openalex.org/W2949661718","https://openalex.org/W4213345021"],"related_works":["https://openalex.org/W3011298851","https://openalex.org/W1135792216","https://openalex.org/W2105416365","https://openalex.org/W1570378576","https://openalex.org/W1566559296","https://openalex.org/W2013003323","https://openalex.org/W1981076832","https://openalex.org/W2024773645","https://openalex.org/W2001717001","https://openalex.org/W2043147644"],"abstract_inverted_index":{"BACKGROUND:":[0],"G":[1],"protein-coupled":[2],"receptors":[3],"(GPCRs)":[4],"mediate":[5],"a":[6,74,120,134,191],"variety":[7],"of":[8,25,31,41,52,70,80,87,98,181,184,292,304,313],"important":[9,22],"physiological":[10],"functions,":[11],"are":[12,186,224,256],"closely":[13],"related":[14],"to":[15,65,83,106,126,139,151,168,203,301],"many":[16],"diseases,":[17],"and":[18,34,153,188,262,297],"constitute":[19],"the":[20,29,39,47,53,68,85,92,96,155,174,221,227,242,279,289,293,314],"most":[21],"target":[23],"family":[24],"modern":[26],"drugs.":[27,59],"Therefore,":[28,77],"research":[30,322],"GPCR":[32,35,286],"analysis":[33],"ligand":[36],"screening":[37],"is":[38,50,62,79,104,124,201,218,288,317],"hotspot":[40],"new":[42,121,280],"drug":[43,160],"development.":[44],"Accurately":[45],"identifying":[46],"GPCR-drug":[48,71,88,100,114,128,214,259],"interaction":[49,69,86,101,215,260,271,275],"one":[51],"key":[54],"steps":[55],"for":[56,112,258,268,285,320],"designing":[57],"GPCR-targeted":[58],"However,":[60],"it":[61,78,103,217],"prohibitively":[63],"expensive":[64],"experimentally":[66],"ascertain":[67],"pairs":[72,89],"on":[73,211],"large":[75],"scale.":[76],"great":[81],"significance":[82],"predict":[84],"directly":[90],"from":[91,149,173],"molecular":[93,176],"sequences.":[94],"With":[95],"accumulation":[97],"known":[99],"data,":[102],"feasible":[105],"develop":[107],"sequence-based":[108,122,229],"machine":[109,230],"learning":[110,231],"models":[111],"query":[113],"pairs.":[115],"RESULTS:":[116],"In":[117,277],"this":[118],"paper,":[119],"method":[123,200,239,284],"proposed":[125,222,254,281,315],"identify":[127],"interactions.":[129],"For":[130,159],"GPCRs,":[131],"we":[132,162],"use":[133,163],"novel":[135],"bag-of-words":[136],"(BoW)":[137],"model":[138,296],"extract":[140,145,169],"sequence":[141],"features,":[142],"which":[143,241],"can":[144],"more":[146],"pattern":[147,171],"information":[148,172],"low-order":[150],"high-order":[152],"limit":[154],"feature":[156,179,282],"space":[157],"dimension.":[158],"molecules,":[161],"discrete":[164],"Fourier":[165],"transform":[166],"(DFT)":[167],"higher-order":[170],"original":[175],"fingerprints.":[177],"The":[178,253,310],"vectors":[180],"two":[182],"kinds":[183],"molecules":[185],"concatenated":[187],"input":[189],"into":[190],"simple":[192],"prediction":[193,243],"engine":[194],"distance-weighted":[195],"K-nearest-neighbor":[196],"(DWKNN).":[197],"This":[198],"basic":[199],"easy":[202],"be":[204,265,299],"enhanced":[205],"through":[206],"ensemble":[207],"learning.":[208],"Through":[209],"testing":[210],"recently":[212],"constructed":[213],"datasets,":[216],"found":[219],"that":[220],"methods":[223,232,255,267,316],"better":[225],"than":[226],"existing":[228],"in":[233,240],"generalization":[234],"ability,":[235],"even":[236],"an":[237],"unconventional":[238],"performance":[244],"was":[245],"further":[246],"improved":[247],"by":[248],"post-processing":[249],"procedure":[250],"(PPP).":[251],"CONCLUSIONS:":[252],"effective":[257],"prediction,":[261,272],"may":[263,298],"also":[264],"potential":[266],"other":[269],"target-drug":[270],"or":[273,307],"protein-protein":[274],"prediction.":[276,309],"addition,":[278],"extraction":[283],"sequences":[287],"modified":[290],"version":[291],"traditional":[294],"BoW":[295],"useful":[300],"solve":[302],"problems":[303],"protein":[305],"classification":[306],"attribute":[308],"source":[311],"code":[312],"freely":[318],"available":[319],"academic":[321],"at":[323],"https://github.com/wp3751/GPCR-Drug-Interaction.":[324]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":4}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}