{"id":"https://openalex.org/W7155501182","doi":"https://doi.org/10.1186/s12859-026-06446-8","title":"DCI-SiteDTA: drug-target affinity prediction based on binding sites detection and site-aware dual cross-interaction block","display_name":"DCI-SiteDTA: drug-target affinity prediction based on binding sites detection and site-aware dual cross-interaction block","publication_year":2026,"publication_date":"2026-04-24","ids":{"openalex":"https://openalex.org/W7155501182","doi":"https://doi.org/10.1186/s12859-026-06446-8","pmid":"https://pubmed.ncbi.nlm.nih.gov/42032471"},"language":"en","primary_location":{"id":"doi:10.1186/s12859-026-06446-8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-026-06446-8","pdf_url":null,"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","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://doi.org/10.1186/s12859-026-06446-8","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134542634","display_name":"Jinyang Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I1328775524","display_name":"Zhejiang Sci-Tech University","ror":"https://ror.org/03893we55","country_code":"CN","type":"education","lineage":["https://openalex.org/I1328775524"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinyang Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Zhejiang Sci-Tech University, Hangzhou, 310018, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Zhejiang Sci-Tech University, Hangzhou, 310018, China","institution_ids":["https://openalex.org/I1328775524"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124615729","display_name":"Xingyang Li","orcid":null},"institutions":[{"id":"https://openalex.org/I1328775524","display_name":"Zhejiang Sci-Tech University","ror":"https://ror.org/03893we55","country_code":"CN","type":"education","lineage":["https://openalex.org/I1328775524"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingyang Li","raw_affiliation_strings":["School of Computer Science and Technology, Zhejiang Sci-Tech University, Hangzhou, 310018, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Zhejiang Sci-Tech University, Hangzhou, 310018, China","institution_ids":["https://openalex.org/I1328775524"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134540986","display_name":"Bo Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I1328775524","display_name":"Zhejiang Sci-Tech University","ror":"https://ror.org/03893we55","country_code":"CN","type":"education","lineage":["https://openalex.org/I1328775524"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Wei","raw_affiliation_strings":["School of Computer Science and Technology, Zhejiang Sci-Tech University, Hangzhou, 310018, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Zhejiang Sci-Tech University, Hangzhou, 310018, China","institution_ids":["https://openalex.org/I1328775524"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065051174","display_name":"Yuni Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I1328775524","display_name":"Zhejiang Sci-Tech University","ror":"https://ror.org/03893we55","country_code":"CN","type":"education","lineage":["https://openalex.org/I1328775524"]},{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuni Zeng","raw_affiliation_strings":["School of Computer Science and Technology, Zhejiang Sci-Tech University, Hangzhou, 310018, China. yunizeng@zstu.edu.cn"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Zhejiang Sci-Tech University, Hangzhou, 310018, China. yunizeng@zstu.edu.cn","institution_ids":["https://openalex.org/I1328775524","https://openalex.org/I168879160"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5065051174"],"corresponding_institution_ids":["https://openalex.org/I1328775524","https://openalex.org/I168879160"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.42072682,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"27","issue":"1","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":0.9063000082969666,"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":0.9063000082969666,"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/T12576","display_name":"vaccines and immunoinformatics approaches","score":0.025599999353289604,"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/T10044","display_name":"Protein Structure and Dynamics","score":0.017799999564886093,"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/binding-site","display_name":"Binding site","score":0.7005000114440918},{"id":"https://openalex.org/keywords/concatenation","display_name":"Concatenation (mathematics)","score":0.6909000277519226},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5156999826431274},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.48750001192092896},{"id":"https://openalex.org/keywords/drug-discovery","display_name":"Drug discovery","score":0.47510001063346863},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4650999903678894},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.43540000915527344},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42080000042915344}],"concepts":[{"id":"https://openalex.org/C107824862","wikidata":"https://www.wikidata.org/wiki/Q616005","display_name":"Binding site","level":2,"score":0.7005000114440918},{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.6909000277519226},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5400000214576721},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5156999826431274},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.48750001192092896},{"id":"https://openalex.org/C74187038","wikidata":"https://www.wikidata.org/wiki/Q1418791","display_name":"Drug discovery","level":2,"score":0.47510001063346863},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4650999903678894},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.4602999985218048},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.43540000915527344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43529999256134033},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42080000042915344},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4171000123023987},{"id":"https://openalex.org/C2989108626","wikidata":"https://www.wikidata.org/wiki/Q904407","display_name":"Drug target","level":2,"score":0.3970000147819519},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.36090001463890076},{"id":"https://openalex.org/C51639874","wikidata":"https://www.wikidata.org/wiki/Q167149","display_name":"Plasma protein binding","level":2,"score":0.3449000120162964},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.33149999380111694},{"id":"https://openalex.org/C3662595","wikidata":"https://www.wikidata.org/wiki/Q5205743","display_name":"DNA binding site","level":5,"score":0.321399986743927},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3206000030040741},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.3073999881744385},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28940001130104065},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.2890999913215637},{"id":"https://openalex.org/C2780430158","wikidata":"https://www.wikidata.org/wiki/Q7685902","display_name":"Target protein","level":3,"score":0.2854999899864197},{"id":"https://openalex.org/C123894998","wikidata":"https://www.wikidata.org/wiki/Q425158","display_name":"Fusion protein","level":4,"score":0.27160000801086426},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.2603999972343445},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2500999867916107}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001665","descriptor_name":"Binding Sites","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001665","descriptor_name":"Binding Sites","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001665","descriptor_name":"Binding Sites","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004364","descriptor_name":"Pharmaceutical Preparations","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D004364","descriptor_name":"Pharmaceutical Preparations","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D004364","descriptor_name":"Pharmaceutical Preparations","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D004364","descriptor_name":"Pharmaceutical Preparations","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D004364","descriptor_name":"Pharmaceutical Preparations","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D004364","descriptor_name":"Pharmaceutical Preparations","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D011485","descriptor_name":"Protein Binding","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011485","descriptor_name":"Protein Binding","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011485","descriptor_name":"Protein Binding","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":true},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":true},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":true},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":true},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":true},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D055808","descriptor_name":"Drug Discovery","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D055808","descriptor_name":"Drug Discovery","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D055808","descriptor_name":"Drug Discovery","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12859-026-06446-8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-026-06446-8","pdf_url":null,"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},{"id":"pmid:42032471","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/42032471","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":"Journal Article"},{"id":"pmh:oai:doaj.org/article:050a94c8ecd949b58b94b3f467331ba8","is_oa":true,"landing_page_url":"https://doaj.org/article/050a94c8ecd949b58b94b3f467331ba8","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 27, Iss 1 (2026)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:13244979","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13244979/","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/s12859-026-06446-8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-026-06446-8","pdf_url":null,"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","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/G8159731936","display_name":null,"funder_award_id":"62302456","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1500036797","https://openalex.org/W2035585923","https://openalex.org/W2038252445","https://openalex.org/W2074978477","https://openalex.org/W2086286404","https://openalex.org/W2109991441","https://openalex.org/W2113403117","https://openalex.org/W2119821739","https://openalex.org/W2140992384","https://openalex.org/W2164088236","https://openalex.org/W2273267066","https://openalex.org/W2605952223","https://openalex.org/W2617750324","https://openalex.org/W2785947426","https://openalex.org/W2887981960","https://openalex.org/W2899788782","https://openalex.org/W2911964244","https://openalex.org/W2937307539","https://openalex.org/W2963341956","https://openalex.org/W3018980093","https://openalex.org/W3028589594","https://openalex.org/W3029836473","https://openalex.org/W3096561213","https://openalex.org/W3109916301","https://openalex.org/W3177500196","https://openalex.org/W3177828909","https://openalex.org/W3206585172","https://openalex.org/W4255252731","https://openalex.org/W4283259285","https://openalex.org/W4318391592","https://openalex.org/W4318981550","https://openalex.org/W4388196326","https://openalex.org/W4406139397","https://openalex.org/W4408371653","https://openalex.org/W4416143181"],"related_works":[],"abstract_inverted_index":{"BACKGROUND:":[0],"Predicting":[1],"the":[2,73,100,139,221,230],"binding":[3,21,52,60,87,111,140,146,171,210,222,231],"affinity":[4,25,70,107,235],"between":[5],"drugs":[6],"and":[7,24,66,77,114,130,170,182,193,213,225,234],"proteins":[8],"is":[9,124,189],"crucial":[10],"for":[11,51,68],"accelerating":[12],"drug":[13,58,76],"discovery.":[14],"However,":[15],"traditional":[16],"research":[17],"methods":[18],"typically":[19],"treat":[20],"site":[22,53,141,172,211,232],"detection":[23,113,212,233],"prediction":[26,108,236],"as":[27],"two":[28,48],"separate":[29],"tasks,":[30],"lacking":[31],"solutions":[32],"that":[33,201],"integrate":[34],"both":[35,128,209],"into":[36],"a":[37,82,105,120,145,151],"unified":[38],"deep":[39],"learning":[40],"framework.":[41],"Furthermore,":[42],"existing":[43],"approaches":[44],"exhibit":[45],"limitations":[46],"in":[47],"aspects:":[49],"(1)":[50],"detection,":[54],"fine-grained":[55],"features":[56],"within":[57],"target":[59],"pockets":[61],"need":[62],"to":[63,80,126,137,157,174],"be":[64],"encoded;":[65],"(2)":[67],"drug-target":[69,106,159,238],"(DTA)":[71],"prediction,":[72],"fusion":[74,84,123,154],"of":[75,180,237],"targets":[78],"needs":[79],"consider":[81],"multidimensional":[83],"guided":[85],"by":[86],"sites,":[88],"rather":[89],"than":[90],"via":[91],"concatenation":[92],"or":[93],"simple":[94],"attention":[95],"mechanisms.":[96],"RESULTS:":[97],"To":[98],"address":[99],"aforementioned":[101],"challenges,":[102],"we":[103,149],"propose":[104],"based":[109,166],"on":[110,167,191,208],"sites":[112],"site-aware":[115],"dual":[116,152,226],"cross-interaction":[117,153,227],"block(DCI-SiteDTA).":[118],"Specifically,":[119],"multi-scale":[121],"feature":[122],"employed":[125],"extract":[127],"local":[129],"global":[131],"contextual":[132],"information":[133,173],"from":[134],"protein":[135],"residues":[136],"get":[138],"vector.":[142],"Then,":[143],"with":[144,220],"site-guided":[147],"strategy,":[148],"introduce":[150],"block.":[155],"Designed":[156],"model":[158,188,204,219],"interactions,":[160],"this":[161],"module":[162],"constructs":[163],"multilevel":[164],"representations":[165],"drug,":[168],"target,":[169],"capture":[175],"their":[176],"fundamental":[177],"biological":[178],"patterns":[179],"interaction":[181],"integration.":[183],"Finally,":[184],"our":[185,202],"proposed":[186,203,218],"DCI-SiteDTA":[187],"evaluated":[190],"Davis":[192],"KIBA":[194],"benchmark":[195],"datasets.":[196],"The":[197],"experimental":[198],"results":[199],"reveal":[200],"yields":[205],"better":[206],"accuracy":[207],"DTA":[214],"prediction.":[215],"CONCLUSIONS:":[216],"Our":[217],"sites-guided":[223],"strategy":[224],"block":[228],"improves":[229],"pairs.":[239]},"counts_by_year":[],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2026-04-25T00:00:00"}
