{"id":"https://openalex.org/W2912435058","doi":"https://doi.org/10.1109/bibm.2018.8621264","title":"Understanding Markush Structures in Chemistry Documents With Deep Learning","display_name":"Understanding Markush Structures in Chemistry Documents With Deep Learning","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2912435058","doi":"https://doi.org/10.1109/bibm.2018.8621264","mag":"2912435058"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2018.8621264","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2018.8621264","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5112967223","display_name":"Penghui Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Penghui Sun","raw_affiliation_strings":["Institute of Computer Science & Technology of Peking University Peking University Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science & Technology of Peking University Peking University Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101587591","display_name":"Xiaoqing Lyu","orcid":"https://orcid.org/0000-0003-2354-7749"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqing Lyu","raw_affiliation_strings":["Institute of Computer Science & Technology of Peking University Peking University Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science & Technology of Peking University Peking University Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100353780","display_name":"Xin Li","orcid":"https://orcid.org/0000-0002-0041-3134"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Li","raw_affiliation_strings":["Institute of Computer Science & Technology of Peking University Peking University Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science & Technology of Peking University Peking University Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100349945","display_name":"Bei Wang","orcid":"https://orcid.org/0000-0002-3602-2557"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bei Wang","raw_affiliation_strings":["Institute of Computer Science & Technology of Peking University Peking University Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science & Technology of Peking University Peking University Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110920839","display_name":"Xiaohan Yi","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohan Yi","raw_affiliation_strings":["Institute of Computer Science & Technology of Peking University Peking University Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science & Technology of Peking University Peking University Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103175239","display_name":"Zhi Tang","orcid":"https://orcid.org/0000-0002-6021-8357"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Tang","raw_affiliation_strings":["Institute of Computer Science & Technology of Peking University Peking University Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science & Technology of Peking University Peking University Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5112967223"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.2019,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57370201,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9753000140190125,"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":0.9753000140190125,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9613000154495239,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9570000171661377,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7272059321403503},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5299103260040283},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5122806429862976},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.493247926235199},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43712881207466125}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7272059321403503},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5299103260040283},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5122806429862976},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.493247926235199},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43712881207466125},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm.2018.8621264","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2018.8621264","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6899999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W321953027","https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1976487042","https://openalex.org/W1976892175","https://openalex.org/W1978188288","https://openalex.org/W2030101601","https://openalex.org/W2041366986","https://openalex.org/W2072555384","https://openalex.org/W2088049833","https://openalex.org/W2109255472","https://openalex.org/W2145029943","https://openalex.org/W2613718673","https://openalex.org/W3106250896","https://openalex.org/W6611163629","https://openalex.org/W6681420564","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W2939353110","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756"],"abstract_inverted_index":{"The":[0,67],"retrieval":[1,102],"of":[2,9,26,46,49,58,69,103],"chemistry":[3,82],"documents":[4,83],"depends":[5],"on":[6],"the":[7,39,59,73,80,91,96],"recognition":[8,48],"chemical":[10],"structural":[11],"formula":[12],"(CSF)":[13],"except":[14],"texts,":[15],"tables,":[16,55],"and":[17,52,56,84],"ordinary":[18],"figures.":[19],"A":[20],"Markush":[21,40,50,65,104],"structure":[22],"represents":[23],"a":[24,34,43,86],"series":[25],"chemicals":[27],"with":[28,90],"similar":[29],"structures.":[30,105],"This":[31],"research":[32],"proposes":[33],"complete":[35],"approach":[36,99],"to":[37],"analyze":[38],"structures,":[41],"including":[42],"deep-learning-based":[44],"detection":[45],"CSFs,":[47],"structures":[51],"their":[53],"corresponding":[54],"reconstruction":[57],"synthetic":[60],"CSFs":[61,77],"represented":[62],"by":[63],"one":[64],"structure.":[66],"results":[68],"experiments":[70],"demonstrate":[71],"that":[72],"proposed":[74],"method":[75],"obtains":[76],"accurately":[78],"from":[79],"original":[81],"provides":[85],"more":[87],"efficient":[88],"way":[89],"automatically":[92],"reconstructed":[93],"molecules":[94],"than":[95],"existing":[97],"manually-drawing-based":[98],"for":[100],"further":[101]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}