{"id":"https://openalex.org/W3119003488","doi":"https://doi.org/10.1021/acs.jcim.0c01115","title":"BBPpred: Sequence-Based Prediction of Blood-Brain Barrier Peptides with Feature Representation Learning and Logistic Regression","display_name":"BBPpred: Sequence-Based Prediction of Blood-Brain Barrier Peptides with Feature Representation Learning and Logistic Regression","publication_year":2021,"publication_date":"2021-01-11","ids":{"openalex":"https://openalex.org/W3119003488","doi":"https://doi.org/10.1021/acs.jcim.0c01115","mag":"3119003488","pmid":"https://pubmed.ncbi.nlm.nih.gov/33426873"},"language":"en","primary_location":{"id":"doi:10.1021/acs.jcim.0c01115","is_oa":false,"landing_page_url":"https://doi.org/10.1021/acs.jcim.0c01115","pdf_url":null,"source":{"id":"https://openalex.org/S167262187","display_name":"Journal of Chemical Information and Modeling","issn_l":"1549-9596","issn":["1549-9596","1549-960X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320006","host_organization_name":"American Chemical Society","host_organization_lineage":["https://openalex.org/P4310320006"],"host_organization_lineage_names":["American Chemical Society"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Chemical Information and Modeling","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5021912250","display_name":"Ruyu Dai","orcid":null},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruyu Dai","raw_affiliation_strings":["Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Institutes of Physical Science and Information Technology, Anhui University, Hefei, Anhui 230601, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Institutes of Physical Science and Information Technology, Anhui University, Hefei, Anhui 230601, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115603513","display_name":"Wei Zhang","orcid":"https://orcid.org/0009-0003-5785-7363"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Institutes of Physical Science and Information Technology, Anhui University, Hefei, Anhui 230601, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Institutes of Physical Science and Information Technology, Anhui University, Hefei, Anhui 230601, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077506853","display_name":"Wending Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wending Tang","raw_affiliation_strings":["Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Institutes of Physical Science and Information Technology, Anhui University, Hefei, Anhui 230601, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Institutes of Physical Science and Information Technology, Anhui University, Hefei, Anhui 230601, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017615853","display_name":"Evelien Wynendaele","orcid":"https://orcid.org/0000-0003-0969-7580"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Evelien Wynendaele","raw_affiliation_strings":["Drug Quality and Registration (DruQuaR) Group, Faculty of Pharmaceutical Sciences, Ghent University, Harelbekestraat 72, 9000 Ghent, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Drug Quality and Registration (DruQuaR) Group, Faculty of Pharmaceutical Sciences, Ghent University, Harelbekestraat 72, 9000 Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043659644","display_name":"Qizhi Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qizhi Zhu","raw_affiliation_strings":["Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Institutes of Physical Science and Information Technology, Anhui University, Hefei, Anhui 230601, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Institutes of Physical Science and Information Technology, Anhui University, Hefei, Anhui 230601, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004787761","display_name":"Yannan Bin","orcid":"https://orcid.org/0000-0001-6122-5930"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yannan Bin","raw_affiliation_strings":["Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Institutes of Physical Science and Information Technology, Anhui University, Hefei, Anhui 230601, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Institutes of Physical Science and Information Technology, Anhui University, Hefei, Anhui 230601, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Bart De Spiegeleer","orcid":"https://orcid.org/0000-0002-6103-3565"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Bart De Spiegeleer","raw_affiliation_strings":["Drug Quality and Registration (DruQuaR) Group, Faculty of Pharmaceutical Sciences, Ghent University, Harelbekestraat 72, 9000 Ghent, Belgium"],"raw_orcid":"https://orcid.org/0000-0002-6103-3565","affiliations":[{"raw_affiliation_string":"Drug Quality and Registration (DruQuaR) Group, Faculty of Pharmaceutical Sciences, Ghent University, Harelbekestraat 72, 9000 Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065943710","display_name":"Junfeng Xia","orcid":"https://orcid.org/0000-0003-3024-1705"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junfeng Xia","raw_affiliation_strings":["Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Institutes of Physical Science and Information Technology, Anhui University, Hefei, Anhui 230601, China"],"raw_orcid":"https://orcid.org/0000-0003-3024-1705","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Institutes of Physical Science and Information Technology, Anhui University, Hefei, Anhui 230601, China","institution_ids":["https://openalex.org/I143868143"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5065943710"],"corresponding_institution_ids":["https://openalex.org/I143868143"],"apc_list":null,"apc_paid":null,"fwci":6.2647,"has_fulltext":false,"cited_by_count":110,"citation_normalized_percentile":{"value":0.97711262,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"61","issue":"1","first_page":"525","last_page":"534"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9998999834060669,"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":0.9998999834060669,"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/T10911","display_name":"Chemical Synthesis and Analysis","score":0.9988999962806702,"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/T11103","display_name":"Antimicrobial Peptides and Activities","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2404","display_name":"Microbiology"},"field":{"id":"https://openalex.org/fields/24","display_name":"Immunology and Microbiology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7043625116348267},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.6856968998908997},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6560962200164795},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6345028281211853},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.6093193888664246},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.58182293176651},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5710482001304626},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5445282459259033},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5207498073577881},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4835898280143738},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4556789994239807},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4512268602848053},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.4412006139755249},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4332343339920044},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.42743802070617676},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3676590919494629},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08076387643814087},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0789259672164917},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.07559770345687866}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7043625116348267},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.6856968998908997},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6560962200164795},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6345028281211853},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.6093193888664246},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.58182293176651},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5710482001304626},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5445282459259033},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5207498073577881},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4835898280143738},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4556789994239807},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4512268602848053},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.4412006139755249},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4332343339920044},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.42743802070617676},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3676590919494629},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08076387643814087},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0789259672164917},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.07559770345687866},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[{"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":"D001812","descriptor_name":"Blood-Brain Barrier","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001812","descriptor_name":"Blood-Brain Barrier","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001812","descriptor_name":"Blood-Brain Barrier","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010455","descriptor_name":"Peptides","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010455","descriptor_name":"Peptides","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010455","descriptor_name":"Peptides","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1021/acs.jcim.0c01115","is_oa":false,"landing_page_url":"https://doi.org/10.1021/acs.jcim.0c01115","pdf_url":null,"source":{"id":"https://openalex.org/S167262187","display_name":"Journal of Chemical Information and Modeling","issn_l":"1549-9596","issn":["1549-9596","1549-960X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320006","host_organization_name":"American Chemical Society","host_organization_lineage":["https://openalex.org/P4310320006"],"host_organization_lineage_names":["American Chemical Society"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Chemical Information and Modeling","raw_type":"journal-article"},{"id":"pmid:33426873","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33426873","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":"Journal of chemical information and modeling","raw_type":null},{"id":"pmh:oai:archive.ugent.be:8720208","is_oa":false,"landing_page_url":"https://biblio.ugent.be/publication/8720208","pdf_url":null,"source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISSN: 1549-960X","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.44999998807907104}],"awards":[{"id":"https://openalex.org/G2483327137","display_name":"\u8f7d\u80fd\u7c92\u5b50\u5bf9\u5173\u952e\u751f\u7269\u9776\u7684\u5206\u5b50\u8c03\u63a7\u673a\u5236\u4e0e\u5e94\u7528\u57fa\u7840\u7814\u7a76","funder_award_id":"11835014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3297571564","display_name":null,"funder_award_id":"U19A2064","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3925882961","display_name":"\u81f4\u75c5\u540c\u4e49\u7a81\u53d8\u7684\u751f\u7269\u4fe1\u606f\u5b66\u7814\u7a76","funder_award_id":"62072003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4784360784","display_name":null,"funder_award_id":"2020YFA0908700","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5006237592","display_name":null,"funder_award_id":"U19A2064","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5573161910","display_name":null,"funder_award_id":"61672037","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1931581539","https://openalex.org/W1981976602","https://openalex.org/W1982267716","https://openalex.org/W1983472437","https://openalex.org/W1993711987","https://openalex.org/W2000299206","https://openalex.org/W2036520094","https://openalex.org/W2048917743","https://openalex.org/W2056132907","https://openalex.org/W2101099825","https://openalex.org/W2101234009","https://openalex.org/W2112389863","https://openalex.org/W2113617961","https://openalex.org/W2125541186","https://openalex.org/W2128941049","https://openalex.org/W2132292391","https://openalex.org/W2134224068","https://openalex.org/W2170747616","https://openalex.org/W2200232771","https://openalex.org/W2281036777","https://openalex.org/W2295598076","https://openalex.org/W2340589369","https://openalex.org/W2398245217","https://openalex.org/W2583310064","https://openalex.org/W2587751387","https://openalex.org/W2619499709","https://openalex.org/W2772268163","https://openalex.org/W2772925633","https://openalex.org/W2793168264","https://openalex.org/W2804578605","https://openalex.org/W2806146459","https://openalex.org/W2898454434","https://openalex.org/W2900790612","https://openalex.org/W2911855146","https://openalex.org/W2911964244","https://openalex.org/W2913961829","https://openalex.org/W2914645084","https://openalex.org/W2936599975","https://openalex.org/W2948505931","https://openalex.org/W2979860957","https://openalex.org/W2997680655","https://openalex.org/W3102476541","https://openalex.org/W4239510810"],"related_works":["https://openalex.org/W1999699871","https://openalex.org/W4225124612","https://openalex.org/W2043806667","https://openalex.org/W2786391746","https://openalex.org/W2021633306","https://openalex.org/W2006801911","https://openalex.org/W2991483587","https://openalex.org/W1990237101","https://openalex.org/W2187490799","https://openalex.org/W3019226033"],"abstract_inverted_index":{"Blood-brain":[0],"barrier":[1,17,54],"peptides":[2,55],"(BBPs)":[3],"have":[4],"a":[5,49,67,79,123,173,182],"large":[6],"range":[7],"of":[8,28,70,125,147,153],"biomedical":[9],"applications":[10],"since":[11],"they":[12],"can":[13,58],"cross":[14],"the":[15,26,87,92,132,135,156,166],"blood-brain":[16],"based":[18],"on":[19,165],"different":[20],"mechanisms.":[21],"As":[22],"experimental":[23],"methods":[24],"for":[25,41,100,185],"identification":[27],"BBPs":[29,61,127],"are":[30,36,98],"laborious":[31],"and":[32,77,105,118,131,149,171,188],"expensive,":[33],"computational":[34,50],"approaches":[35],"necessary":[37],"to":[38,85],"be":[39,181],"developed":[40],"predicting":[42],"BBPs.":[43,190],"In":[44,108],"this":[45],"work,":[46],"we":[47,110],"describe":[48],"method,":[51],"BBPpred":[52,139,179,191],"(blood-brain":[53],"prediction),":[56],"that":[57,178],"efficiently":[59],"identify":[60],"using":[62,155],"logistic":[63],"regression.":[64],"We":[65,159,176],"investigate":[66],"wide":[68],"variety":[69],"features":[71,97],"from":[72,128],"amino":[73],"acid":[74],"sequence":[75],"information,":[76],"then":[78],"feature":[80],"learning":[81],"method":[82,164],"is":[83,192],"adopted":[84],"represent":[86],"informative":[88,96],"features.":[89,107],"To":[90],"improve":[91],"prediction":[93],"performance,":[94],"seven":[95],"selected":[99],"classification":[101],"by":[102],"eliminating":[103],"redundant":[104],"irrelevant":[106],"addition,":[109],"specifically":[111],"create":[112],"two":[113],"benchmark":[114],"data":[115,137,169],"sets":[116],"(training":[117],"independent":[119,167],"test),":[120],"which":[121],"contain":[122],"total":[124],"119":[126],"public":[129],"databases":[130],"literature.":[133],"On":[134],"training":[136],"set,":[138],"shows":[140],"promising":[141],"performances":[142],"with":[143],"an":[144,150],"AUC":[145],"score":[146,152],"0.8764":[148],"AUPR":[151],"0.8757":[154],"10-fold":[157],"cross-validation.":[158],"also":[160],"test":[161,168],"our":[162],"new":[163],"set":[170],"obtain":[172],"favorable":[174],"performance.":[175],"envision":[177],"will":[180],"useful":[183],"tool":[184],"identifying,":[186],"annotating,":[187],"characterizing":[189],"freely":[193],"available":[194],"at":[195],"http://BBPpred.xialab.info.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":28},{"year":2023,"cited_by_count":28},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":10}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
