{"id":"https://openalex.org/W4400399274","doi":"https://doi.org/10.1186/s13321-024-00871-8","title":"LVPocket: integrated 3D global-local information to protein binding pockets prediction with transfer learning of protein structure classification","display_name":"LVPocket: integrated 3D global-local information to protein binding pockets prediction with transfer learning of protein structure classification","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4400399274","doi":"https://doi.org/10.1186/s13321-024-00871-8","pmid":"https://pubmed.ncbi.nlm.nih.gov/38972994"},"language":"en","primary_location":{"id":"doi:10.1186/s13321-024-00871-8","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1186/s13321-024-00871-8","pdf_url":"https://link.springer.com/content/pdf/10.1186/s13321-024-00871-8.pdf","source":{"id":"https://openalex.org/S180838163","display_name":"Journal of Cheminformatics","issn_l":"1758-2946","issn":["1758-2946"],"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":"Journal of Cheminformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1186/s13321-024-00871-8.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101935239","display_name":"Ruifeng Zhou","orcid":"https://orcid.org/0000-0002-7744-9995"},"institutions":[{"id":"https://openalex.org/I161716053","display_name":"China Pharmaceutical University","ror":"https://ror.org/01sfm2718","country_code":"CN","type":"education","lineage":["https://openalex.org/I161716053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruifeng Zhou","raw_affiliation_strings":["School of Science, China Pharmaceutical University, Nanjing, 210009, Jiangsu, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science, China Pharmaceutical University, Nanjing, 210009, Jiangsu, People's Republic of China","institution_ids":["https://openalex.org/I161716053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101361954","display_name":"Jing Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I161716053","display_name":"China Pharmaceutical University","ror":"https://ror.org/01sfm2718","country_code":"CN","type":"education","lineage":["https://openalex.org/I161716053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Fan","raw_affiliation_strings":["School of Science, China Pharmaceutical University, Nanjing, 210009, Jiangsu, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science, China Pharmaceutical University, Nanjing, 210009, Jiangsu, People's Republic of China","institution_ids":["https://openalex.org/I161716053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104345099","display_name":"Sishu Li","orcid":null},"institutions":[{"id":"https://openalex.org/I161716053","display_name":"China Pharmaceutical University","ror":"https://ror.org/01sfm2718","country_code":"CN","type":"education","lineage":["https://openalex.org/I161716053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sishu Li","raw_affiliation_strings":["School of Science, China Pharmaceutical University, Nanjing, 210009, Jiangsu, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science, China Pharmaceutical University, Nanjing, 210009, Jiangsu, People's Republic of China","institution_ids":["https://openalex.org/I161716053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030301560","display_name":"Wenjie Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I161716053","display_name":"China Pharmaceutical University","ror":"https://ror.org/01sfm2718","country_code":"CN","type":"education","lineage":["https://openalex.org/I161716053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjie Zeng","raw_affiliation_strings":["School of Science, China Pharmaceutical University, Nanjing, 210009, Jiangsu, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science, China Pharmaceutical University, Nanjing, 210009, Jiangsu, People's Republic of China","institution_ids":["https://openalex.org/I161716053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101537282","display_name":"Yilun Chen","orcid":"https://orcid.org/0000-0002-8888-2209"},"institutions":[{"id":"https://openalex.org/I161716053","display_name":"China Pharmaceutical University","ror":"https://ror.org/01sfm2718","country_code":"CN","type":"education","lineage":["https://openalex.org/I161716053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yilun Chen","raw_affiliation_strings":["School of Science, China Pharmaceutical University, Nanjing, 210009, Jiangsu, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science, China Pharmaceutical University, Nanjing, 210009, Jiangsu, People's Republic of China","institution_ids":["https://openalex.org/I161716053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058488190","display_name":"Xiaoshan Zheng","orcid":"https://orcid.org/0000-0002-8163-3605"},"institutions":[{"id":"https://openalex.org/I161716053","display_name":"China Pharmaceutical University","ror":"https://ror.org/01sfm2718","country_code":"CN","type":"education","lineage":["https://openalex.org/I161716053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoshan Zheng","raw_affiliation_strings":["School of Science, China Pharmaceutical University, Nanjing, 210009, Jiangsu, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science, China Pharmaceutical University, Nanjing, 210009, Jiangsu, People's Republic of China","institution_ids":["https://openalex.org/I161716053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008473103","display_name":"Hongyang Chen","orcid":"https://orcid.org/0000-0002-7626-0162"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongyang Chen","raw_affiliation_strings":["Research Center for Graph Computing, Zhejiang Lab, Hangzhou, 311121, Zhejiang, People's Republic of China. hongyang@zhejianglab.com","Research Center for Graph Computing, Zhejiang Lab, Hangzhou, 311121, Zhejiang, People's Republic of China"],"raw_orcid":"https://orcid.org/0000-0002-7626-0162","affiliations":[{"raw_affiliation_string":"Research Center for Graph Computing, Zhejiang Lab, Hangzhou, 311121, Zhejiang, People's Republic of China. hongyang@zhejianglab.com","institution_ids":["https://openalex.org/I4210123185"]},{"raw_affiliation_string":"Research Center for Graph Computing, Zhejiang Lab, Hangzhou, 311121, Zhejiang, People's Republic of China","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082590468","display_name":"Jun Liao","orcid":"https://orcid.org/0000-0003-0617-5840"},"institutions":[{"id":"https://openalex.org/I161716053","display_name":"China Pharmaceutical University","ror":"https://ror.org/01sfm2718","country_code":"CN","type":"education","lineage":["https://openalex.org/I161716053"]},{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jun Liao","raw_affiliation_strings":["School of Science, China Pharmaceutical University, Nanjing, 210009, Jiangsu, People's Republic of China. liaojun@cpu.edu.cn","Zhejiang Lab, Hangzhou, 311121, Zhejiang, People's Republic of China. liaojun@cpu.edu.cn","Zhejiang Lab, Hangzhou, 311121, Zhejiang, People's Republic of China"],"raw_orcid":"https://orcid.org/0000-0003-0617-5840","affiliations":[{"raw_affiliation_string":"School of Science, China Pharmaceutical University, Nanjing, 210009, Jiangsu, People's Republic of China. liaojun@cpu.edu.cn","institution_ids":["https://openalex.org/I161716053"]},{"raw_affiliation_string":"Zhejiang Lab, Hangzhou, 311121, Zhejiang, People's Republic of China. liaojun@cpu.edu.cn","institution_ids":["https://openalex.org/I4210123185"]},{"raw_affiliation_string":"Zhejiang Lab, Hangzhou, 311121, Zhejiang, People's Republic of China","institution_ids":["https://openalex.org/I4210123185"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5008473103","https://openalex.org/A5082590468"],"corresponding_institution_ids":["https://openalex.org/I161716053","https://openalex.org/I4210123185"],"apc_list":{"value":1290,"currency":"GBP","value_usd":1582},"apc_paid":{"value":1290,"currency":"GBP","value_usd":1582},"fwci":0.6554,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.68226268,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"16","issue":"1","first_page":"79","last_page":"79"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10044","display_name":"Protein Structure and Dynamics","score":0.7365999817848206,"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":0.7365999817848206,"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":0.17110000550746918,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.013500000350177288,"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/computer-science","display_name":"Computer science","score":0.655251145362854},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6146038770675659},{"id":"https://openalex.org/keywords/folding","display_name":"Folding (DSP implementation)","score":0.5267478823661804},{"id":"https://openalex.org/keywords/protein-structure","display_name":"Protein structure","score":0.4876898527145386},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4547530710697174},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4474378824234009},{"id":"https://openalex.org/keywords/protein-folding","display_name":"Protein folding","score":0.4425358176231384},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.43843647837638855},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36078590154647827},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3397535979747772},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.2223752737045288},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.18417668342590332},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.14896166324615479},{"id":"https://openalex.org/keywords/biochemistry","display_name":"Biochemistry","score":0.11088487505912781},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06962132453918457}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.655251145362854},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6146038770675659},{"id":"https://openalex.org/C2776545253","wikidata":"https://www.wikidata.org/wiki/Q5464292","display_name":"Folding (DSP implementation)","level":2,"score":0.5267478823661804},{"id":"https://openalex.org/C47701112","wikidata":"https://www.wikidata.org/wiki/Q735188","display_name":"Protein structure","level":2,"score":0.4876898527145386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4547530710697174},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4474378824234009},{"id":"https://openalex.org/C204328495","wikidata":"https://www.wikidata.org/wiki/Q847556","display_name":"Protein folding","level":2,"score":0.4425358176231384},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.43843647837638855},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36078590154647827},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3397535979747772},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.2223752737045288},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.18417668342590332},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.14896166324615479},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.11088487505912781},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06962132453918457},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1186/s13321-024-00871-8","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1186/s13321-024-00871-8","pdf_url":"https://link.springer.com/content/pdf/10.1186/s13321-024-00871-8.pdf","source":{"id":"https://openalex.org/S180838163","display_name":"Journal of Cheminformatics","issn_l":"1758-2946","issn":["1758-2946"],"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":"Journal of Cheminformatics","raw_type":"journal-article"},{"id":"pmid:38972994","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38972994","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 cheminformatics","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11229186","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11229186","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11229186/pdf/13321_2024_Article_871.pdf","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":"J Cheminform","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:fc96ab12c67b4b18814698fef053e47f","is_oa":true,"landing_page_url":"https://doaj.org/article/fc96ab12c67b4b18814698fef053e47f","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":"Journal of Cheminformatics, Vol 16, Iss 1, Pp 1-12 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13321-024-00871-8","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1186/s13321-024-00871-8","pdf_url":"https://link.springer.com/content/pdf/10.1186/s13321-024-00871-8.pdf","source":{"id":"https://openalex.org/S180838163","display_name":"Journal of Cheminformatics","issn_l":"1758-2946","issn":["1758-2946"],"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":"Journal of Cheminformatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321542","display_name":"China Pharmaceutical University","ror":"https://ror.org/01sfm2718"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4400399274.pdf","grobid_xml":"https://content.openalex.org/works/W4400399274.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1516459493","https://openalex.org/W1975447903","https://openalex.org/W1980969309","https://openalex.org/W1993046136","https://openalex.org/W1997655258","https://openalex.org/W2025458374","https://openalex.org/W2058463742","https://openalex.org/W2114850508","https://openalex.org/W2117077088","https://openalex.org/W2126234813","https://openalex.org/W2128402268","https://openalex.org/W2132395520","https://openalex.org/W2144258433","https://openalex.org/W2149095014","https://openalex.org/W2164088236","https://openalex.org/W2169678694","https://openalex.org/W2194775991","https://openalex.org/W2474188283","https://openalex.org/W2488878161","https://openalex.org/W2617750324","https://openalex.org/W2734349601","https://openalex.org/W2763936395","https://openalex.org/W2767934754","https://openalex.org/W2771286954","https://openalex.org/W2781821160","https://openalex.org/W2887981960","https://openalex.org/W2962914239","https://openalex.org/W3005669732","https://openalex.org/W3007743886","https://openalex.org/W3012511738","https://openalex.org/W3165603781","https://openalex.org/W3197082762","https://openalex.org/W3215918380","https://openalex.org/W4281720176","https://openalex.org/W4368357923","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W2260493136","https://openalex.org/W2113188411","https://openalex.org/W2976965029","https://openalex.org/W2382178265","https://openalex.org/W2055827177","https://openalex.org/W2072666835","https://openalex.org/W4248706500","https://openalex.org/W1999927713","https://openalex.org/W2939859775","https://openalex.org/W4252654006"],"abstract_inverted_index":{"BACKGROUND:":[0],"Previous":[1],"deep":[2],"learning":[3,217],"methods":[4],"for":[5,37,41,111,175,184],"predicting":[6,176],"protein":[7,46,86,177,195,204],"binding":[8,102,178,208],"pockets":[9,103,179],"mainly":[10],"employed":[11],"3D":[12],"convolution,":[13],"yet":[14],"an":[15],"abundance":[16],"of":[17,44,85,91,113,118,165,202,215],"convolution":[18],"operations":[19],"may":[20],"lead":[21],"the":[22,42,62,89,96,121,131,139,156,160,200,213],"model":[23,97,134,158,162,173],"to":[24,39,151],"excessively":[25],"prioritize":[26],"local":[27,81],"information,":[28],"thus":[29],"overlooking":[30],"global":[31,83,192],"information.":[32],"Moreover,":[33],"it":[34],"is":[35],"essential":[36],"us":[38],"account":[40],"influence":[43],"diverse":[45],"folding":[47,205],"structural":[48,64,116],"classes.":[49],"Because":[50],"proteins":[51,119],"classified":[52],"differently":[53],"structurally":[54],"exhibit":[55],"varying":[56],"biological":[57],"functions,":[58],"whereas":[59],"those":[60],"within":[61],"same":[63],"class":[65],"share":[66],"similar":[67],"functional":[68],"attributes.":[69],"RESULTS:":[70],"We":[71,169],"proposed":[72],"LVPocket,":[73],"a":[74,171,182],"novel":[75,172],"method":[76],"that":[77,180],"synergistically":[78],"captures":[79],"both":[80],"and":[82],"information":[84,193],"structure":[87,174],"through":[88,212],"integration":[90],"Transformer":[92],"encoders,":[93],"which":[94,135],"help":[95],"achieve":[98],"better":[99],"performance":[100,145],"in":[101,163],"prediction.":[104],"And":[105],"then":[106],"we":[107,198],"tailored":[108],"prediction":[109,210],"models":[110,127],"data":[112],"four":[114,125],"distinct":[115],"classes":[117],"using":[120],"transfer":[122,216],"learning.":[123],"The":[124],"fine-tuned":[126,157],"were":[128],"trained":[129,137],"on":[130,138,146,186,207],"baseline":[132,161],"LVPocket":[133,142],"was":[136],"sc-PDB":[140],"dataset.":[141],"exhibits":[143],"superior":[144],"three":[147],"independent":[148],"datasets":[149],"compared":[150],"current":[152],"state-of-the-art":[153],"methods.":[154,218],"Additionally,":[155],"outperforms":[159],"terms":[164],"performance.":[166],"SCIENTIFIC":[167],"CONTRIBUTION:":[168],"present":[170],"provides":[181],"solution":[183],"relying":[185],"extensive":[187],"convolutional":[188],"computation":[189],"while":[190],"neglecting":[191],"about":[194],"structures.":[196],"Furthermore,":[197],"tackle":[199],"impact":[201],"different":[203],"structures":[206],"pocket":[209],"tasks":[211],"application":[214]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
