{"id":"https://openalex.org/W3085584475","doi":"https://doi.org/10.1186/s12859-020-03683-3","title":"Prediction of hot spots in protein\u2013DNA binding interfaces based on supervised isometric feature mapping and extreme gradient boosting","display_name":"Prediction of hot spots in protein\u2013DNA binding interfaces based on supervised isometric feature mapping and extreme gradient boosting","publication_year":2020,"publication_date":"2020-09-01","ids":{"openalex":"https://openalex.org/W3085584475","doi":"https://doi.org/10.1186/s12859-020-03683-3","mag":"3085584475","pmid":"https://pubmed.ncbi.nlm.nih.gov/32938395"},"language":"en","primary_location":{"id":"doi:10.1186/s12859-020-03683-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-020-03683-3","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-020-03683-3","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/track/pdf/10.1186/s12859-020-03683-3","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100343451","display_name":"Ke Li","orcid":"https://orcid.org/0000-0001-7279-5015"},"institutions":[{"id":"https://openalex.org/I140221134","display_name":"Anhui Agricultural University","ror":"https://ror.org/0327f3359","country_code":"CN","type":"education","lineage":["https://openalex.org/I140221134"]},{"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":"Ke Li","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, 230601, Anhui, China","School of Information and Computer, Anhui Agricultural University, Hefei, 230036, Anhui, 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, 230601, Anhui, China","institution_ids":["https://openalex.org/I143868143"]},{"raw_affiliation_string":"School of Information and Computer, Anhui Agricultural University, Hefei, 230036, Anhui, China","institution_ids":["https://openalex.org/I140221134"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100733720","display_name":"Sijia Zhang","orcid":"https://orcid.org/0000-0002-7549-782X"},"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":"Sijia 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, 230601, Anhui, 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, 230601, Anhui, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055030398","display_name":"Di Yan","orcid":"https://orcid.org/0000-0002-3372-1256"},"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":"Di Yan","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, 230601, Anhui, China","School of Life Sciences, Anhui University, Hefei, 230601, Anhui, 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, 230601, Anhui, China","institution_ids":["https://openalex.org/I143868143"]},{"raw_affiliation_string":"School of Life Sciences, Anhui University, Hefei, 230601, Anhui, 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, 230601, Anhui, 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, 230601, Anhui, China","institution_ids":["https://openalex.org/I143868143"]}]},{"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":false,"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, 230601, Anhui, China. jfxia@ahu.edu.cn","Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Institutes of Physical Science and Information Technology, Anhui University, Hefei, 230601, Anhui, 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, 230601, Anhui, China. jfxia@ahu.edu.cn","institution_ids":["https://openalex.org/I143868143"]},{"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, 230601, Anhui, China","institution_ids":["https://openalex.org/I143868143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100343451"],"corresponding_institution_ids":["https://openalex.org/I140221134","https://openalex.org/I143868143"],"apc_list":{"value":1690,"currency":"GBP","value_usd":2072},"apc_paid":{"value":1690,"currency":"GBP","value_usd":2072},"fwci":1.5837,"has_fulltext":true,"cited_by_count":26,"citation_normalized_percentile":{"value":0.83475049,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"21","issue":"S13","first_page":"381","last_page":"381"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10044","display_name":"Protein Structure and Dynamics","score":0.7416999936103821,"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/T10044","display_name":"Protein Structure and Dynamics","score":0.7416999936103821,"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/T10222","display_name":"Genomics and Chromatin Dynamics","score":0.10999999940395355,"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/T10211","display_name":"Computational Drug Discovery Methods","score":0.07010000199079514,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/isomap","display_name":"Isomap","score":0.9236441254615784},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6727930903434753},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6412521004676819},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6099696159362793},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5684806108474731},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5522282123565674},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.526121199131012},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5021803379058838},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.46704310178756714},{"id":"https://openalex.org/keywords/nonlinear-dimensionality-reduction","display_name":"Nonlinear dimensionality reduction","score":0.435740202665329},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43430429697036743},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4287004768848419},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3787934184074402},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34421244263648987},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.10310021042823792}],"concepts":[{"id":"https://openalex.org/C2778626561","wikidata":"https://www.wikidata.org/wiki/Q6086067","display_name":"Isomap","level":4,"score":0.9236441254615784},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6727930903434753},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6412521004676819},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6099696159362793},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5684806108474731},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5522282123565674},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.526121199131012},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5021803379058838},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.46704310178756714},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.435740202665329},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43430429697036743},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4287004768848419},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3787934184074402},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34421244263648987},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.10310021042823792},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D004268","descriptor_name":"DNA-Binding Proteins","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D004268","descriptor_name":"DNA-Binding Proteins","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D004268","descriptor_name":"DNA-Binding Proteins","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008958","descriptor_name":"Models, Molecular","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008958","descriptor_name":"Models, Molecular","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008958","descriptor_name":"Models, Molecular","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D025941","descriptor_name":"Protein Interaction Mapping","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D025941","descriptor_name":"Protein Interaction Mapping","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D025941","descriptor_name":"Protein Interaction Mapping","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12859-020-03683-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-020-03683-3","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-020-03683-3","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:32938395","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32938395","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:159de50f043e4140a5014eaee5a0606a","is_oa":true,"landing_page_url":"https://doaj.org/article/159de50f043e4140a5014eaee5a0606a","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 S13, Pp 1-10 (2020)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:7495874","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7495874","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/s12859-020-03683-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-020-03683-3","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-020-03683-3","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":[{"id":"https://metadata.un.org/sdg/8","score":0.6800000071525574,"display_name":"Decent work and economic growth"}],"awards":[{"id":"https://openalex.org/G2483327137","display_name":null,"funder_award_id":"11835014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation 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"},{"id":"https://openalex.org/G6832178907","display_name":null,"funder_award_id":"KJ2017ZD01","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7652863277","display_name":null,"funder_award_id":"31301101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8497505932","display_name":null,"funder_award_id":"21601001","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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3085584475.pdf","grobid_xml":"https://content.openalex.org/works/W3085584475.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1821148229","https://openalex.org/W1992116297","https://openalex.org/W2001141328","https://openalex.org/W2053186076","https://openalex.org/W2058527555","https://openalex.org/W2067752346","https://openalex.org/W2098914939","https://openalex.org/W2118527389","https://openalex.org/W2127982146","https://openalex.org/W2136206140","https://openalex.org/W2143426320","https://openalex.org/W2154053567","https://openalex.org/W2290562923","https://openalex.org/W2295598076","https://openalex.org/W2557117995","https://openalex.org/W2605361745","https://openalex.org/W2611747160","https://openalex.org/W2766389776","https://openalex.org/W2766808155","https://openalex.org/W2777941847","https://openalex.org/W2783162988","https://openalex.org/W2791315675","https://openalex.org/W2794024218","https://openalex.org/W2800333284","https://openalex.org/W2810225085","https://openalex.org/W2890951984","https://openalex.org/W2894836881","https://openalex.org/W2904602199","https://openalex.org/W2924197217","https://openalex.org/W2935793619","https://openalex.org/W3097993951","https://openalex.org/W3102476541","https://openalex.org/W4289236186"],"related_works":["https://openalex.org/W2375574759","https://openalex.org/W1489327846","https://openalex.org/W4287375746","https://openalex.org/W3124275785","https://openalex.org/W2037225398","https://openalex.org/W2132734978","https://openalex.org/W2367590741","https://openalex.org/W1966347620","https://openalex.org/W2166963679","https://openalex.org/W2364555648"],"abstract_inverted_index":{"BACKGROUND:":[0],"Identification":[1],"of":[2,84,160],"hot":[3,25,43,72,133,186],"spots":[4,26,44,73,134,187],"in":[5,74,184],"protein-DNA":[6,15,75],"interfaces":[7],"provides":[8],"crucial":[9],"information":[10],"for":[11,23,36],"the":[12,85,114,140,161,166,190],"research":[13],"on":[14,45,59,107,139,173],"interaction":[16],"and":[17,30,65,90,94,101,156,165],"drug":[18],"design.":[19],"As":[20],"experimental":[21],"methods":[22,100,105],"determining":[24],"are":[27],"time-consuming,":[28],"labor-intensive":[29],"expensive,":[31],"there":[32],"is":[33,117,163,169],"a":[34,46,53,82],"need":[35],"developing":[37],"reliable":[38],"computational":[39],"method":[40,55,116,149],"to":[41,70,119,131,189],"predict":[42,71],"large":[47],"scale.":[48],"RESULTS:":[49],"Here,":[50],"we":[51],"proposed":[52],"new":[54],"named":[56],"sxPDH":[57,137,150,178],"based":[58,106,138],"supervised":[60],"isometric":[61],"feature":[62,98,102,121],"mapping":[63],"(S-ISOMAP)":[64],"extreme":[66],"gradient":[67],"boosting":[68],"(XGBoost)":[69],"complexes.":[76],"We":[77],"obtained":[78,144],"114":[79],"features":[80,143],"from":[81,145],"combination":[83],"protein":[86],"sequence,":[87],"structure,":[88],"network":[89],"solvent":[91],"accessible":[92],"information,":[93],"systematically":[95],"assessed":[96],"various":[97],"selection":[99,122],"dimensionality":[103],"reduction":[104],"manifold":[108,124],"learning.":[109],"The":[110,158],"results":[111,172],"show":[112],"that":[113,177],"S-ISOMAP":[115,155],"superior":[118],"other":[120],"or":[123],"learning":[125],"methods.":[126,192],"XGBoost":[127],"was":[128],"then":[129],"used":[130],"develop":[132],"prediction":[135,152],"model":[136,162],"three":[141],"dimensionality-reduced":[142],"S-ISOMAP.":[146],"CONCLUSION:":[147],"Our":[148],"boosts":[151],"performance":[153,183],"using":[154],"XGBoost.":[157],"AUC":[159],"0.773,":[164],"F1":[167],"score":[168],"0.713.":[170],"Experimental":[171],"benchmark":[174],"dataset":[175],"indicate":[176],"can":[179],"achieve":[180],"generally":[181],"better":[182],"predicting":[185],"compared":[188],"state-of-the-art":[191]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":5}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}