{"id":"https://openalex.org/W4387312119","doi":"https://doi.org/10.1186/s12859-023-05496-6","title":"Graph regularized non-negative matrix factorization with $$L_{2,1}$$ norm regularization terms for drug\u2013target interactions prediction","display_name":"Graph regularized non-negative matrix factorization with $$L_{2,1}$$ norm regularization terms for drug\u2013target interactions prediction","publication_year":2023,"publication_date":"2023-10-03","ids":{"openalex":"https://openalex.org/W4387312119","doi":"https://doi.org/10.1186/s12859-023-05496-6","pmid":"https://pubmed.ncbi.nlm.nih.gov/37789278"},"language":"en","primary_location":{"id":"doi:10.1186/s12859-023-05496-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-023-05496-6","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-023-05496-6","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/counter/pdf/10.1186/s12859-023-05496-6","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090849806","display_name":"Junjun Zhang","orcid":"https://orcid.org/0000-0001-8086-3401"},"institutions":[{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjun Zhang","raw_affiliation_strings":["Key Laboratory of Computing and Stochastic Mathematics(LCSM) (Ministry of Education), School of Mathematics and Statistics, Hunan Normal University, Changsha, 410081 China","Key Laboratory of Computing and Stochastic Mathematics(LCSM) (Ministry of Education), School of Mathematics and Statistics, Hunan Normal University, Changsha, 410081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Computing and Stochastic Mathematics(LCSM) (Ministry of Education), School of Mathematics and Statistics, Hunan Normal University, Changsha, 410081 China","institution_ids":["https://openalex.org/I173759888"]},{"raw_affiliation_string":"Key Laboratory of Computing and Stochastic Mathematics(LCSM) (Ministry of Education), School of Mathematics and Statistics, Hunan Normal University, Changsha, 410081, China","institution_ids":["https://openalex.org/I173759888"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101644878","display_name":"Minzhu Xie","orcid":"https://orcid.org/0000-0002-8962-093X"},"institutions":[{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]},{"id":"https://openalex.org/I3130607311","display_name":"Changsha Normal University","ror":"https://ror.org/02sqk3z62","country_code":"CN","type":"education","lineage":["https://openalex.org/I3130607311"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Minzhu Xie","raw_affiliation_strings":["College of Information Science and Engineering, Hunan Normal University, Changsha, 410081 China","Key Laboratory of Computing and Stochastic Mathematics(LCSM) (Ministry of Education), School of Mathematics and Statistics, Hunan Normal University, Changsha, 410081 China","Key Laboratory of Computing and Stochastic Mathematics(LCSM) (Ministry of Education), School of Mathematics and Statistics, Hunan Normal University, Changsha, 410081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Hunan Normal University, Changsha, 410081 China","institution_ids":["https://openalex.org/I173759888","https://openalex.org/I3130607311"]},{"raw_affiliation_string":"Key Laboratory of Computing and Stochastic Mathematics(LCSM) (Ministry of Education), School of Mathematics and Statistics, Hunan Normal University, Changsha, 410081 China","institution_ids":["https://openalex.org/I173759888"]},{"raw_affiliation_string":"Key Laboratory of Computing and Stochastic Mathematics(LCSM) (Ministry of Education), School of Mathematics and Statistics, Hunan Normal University, Changsha, 410081, China","institution_ids":["https://openalex.org/I173759888"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101644878"],"corresponding_institution_ids":["https://openalex.org/I173759888","https://openalex.org/I3130607311"],"apc_list":{"value":2790,"currency":"USD","value_usd":2790},"apc_paid":{"value":2790,"currency":"USD","value_usd":2790},"fwci":0.9776,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.78274592,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"24","issue":"1","first_page":"375","last_page":"375"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9997000098228455,"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":0.9997000098228455,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9887999892234802,"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/T11440","display_name":"Click Chemistry and Applications","score":0.961899995803833,"subfield":{"id":"https://openalex.org/subfields/1605","display_name":"Organic Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.7336462736129761},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.5536662340164185},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.44613319635391235},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.43730998039245605},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42208120226860046},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.4202961027622223},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41631409525871277},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4117625951766968},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2615928053855896},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0797303318977356}],"concepts":[{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.7336462736129761},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.5536662340164185},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.44613319635391235},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.43730998039245605},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42208120226860046},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.4202961027622223},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41631409525871277},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4117625951766968},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2615928053855896},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0797303318977356},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004347","descriptor_name":"Drug Interactions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004347","descriptor_name":"Drug Interactions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004347","descriptor_name":"Drug Interactions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004347","descriptor_name":"Drug Interactions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004347","descriptor_name":"Drug Interactions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"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},{"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/s12859-023-05496-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-023-05496-6","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-023-05496-6","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:37789278","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37789278","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:pubmedcentral.nih.gov:10548602","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10548602","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10548602/pdf/12859_2023_Article_5496.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":"BMC Bioinformatics","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:bc857e5370954f2c8f7717301677d9c3","is_oa":true,"landing_page_url":"https://doaj.org/article/bc857e5370954f2c8f7717301677d9c3","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 24, Iss 1, Pp 1-24 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s12859-023-05496-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-023-05496-6","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-023-05496-6","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":[{"score":0.44999998807907104,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G1259387294","display_name":null,"funder_award_id":"62172028","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8213310979","display_name":"\u591a\u500d\u4f53\u5355\u4f53\u578b\u4ece\u5934\u7ec4\u88c5\u7b97\u6cd5\u7814\u7a76","funder_award_id":"61772197","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":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4387312119.pdf"},"referenced_works_count":63,"referenced_works":["https://openalex.org/W199410564","https://openalex.org/W1979537657","https://openalex.org/W1984014392","https://openalex.org/W1988720110","https://openalex.org/W2000462146","https://openalex.org/W2006262045","https://openalex.org/W2009313526","https://openalex.org/W2009317359","https://openalex.org/W2015583498","https://openalex.org/W2018408116","https://openalex.org/W2019569173","https://openalex.org/W2027982384","https://openalex.org/W2029348196","https://openalex.org/W2036285176","https://openalex.org/W2049977547","https://openalex.org/W2050631778","https://openalex.org/W2082999830","https://openalex.org/W2087064593","https://openalex.org/W2087196505","https://openalex.org/W2106029302","https://openalex.org/W2108069034","https://openalex.org/W2108119513","https://openalex.org/W2109991441","https://openalex.org/W2135007932","https://openalex.org/W2139736926","https://openalex.org/W2144000913","https://openalex.org/W2144359569","https://openalex.org/W2153838454","https://openalex.org/W2161607603","https://openalex.org/W2162011385","https://openalex.org/W2165674132","https://openalex.org/W2166550586","https://openalex.org/W2256553158","https://openalex.org/W2343107734","https://openalex.org/W2417990257","https://openalex.org/W2549127690","https://openalex.org/W2753953057","https://openalex.org/W2761309784","https://openalex.org/W2789662032","https://openalex.org/W2889321024","https://openalex.org/W2935632020","https://openalex.org/W2950118051","https://openalex.org/W2982147804","https://openalex.org/W2999554466","https://openalex.org/W3000043291","https://openalex.org/W3008887081","https://openalex.org/W3010016408","https://openalex.org/W3029836473","https://openalex.org/W3096561213","https://openalex.org/W3152870288","https://openalex.org/W3154727101","https://openalex.org/W3198527636","https://openalex.org/W3217681006","https://openalex.org/W4206501708","https://openalex.org/W4225873739","https://openalex.org/W4281644125","https://openalex.org/W4285041843","https://openalex.org/W4296311649","https://openalex.org/W4308055347","https://openalex.org/W4318624508","https://openalex.org/W4328007445","https://openalex.org/W4380742954","https://openalex.org/W4384818885"],"related_works":["https://openalex.org/W2127243424","https://openalex.org/W2037504162","https://openalex.org/W4390394189","https://openalex.org/W2792706544","https://openalex.org/W1568451138","https://openalex.org/W2539013788","https://openalex.org/W1143553410","https://openalex.org/W2156699640","https://openalex.org/W2951579230","https://openalex.org/W2613627778"],"abstract_inverted_index":{"Abstract":[0],"Background":[1],"Identifying":[2],"drug\u2013target":[3],"interactions":[4],"(DTIs)":[5],"plays":[6],"a":[7,88,97,209],"key":[8],"role":[9],"in":[10,237,254],"drug":[11,38,137,244],"development.":[12],"Traditional":[13],"wet":[14],"experiments":[15],"to":[16,27,32,50,81,131,163,187,206,208,212],"identify":[17],"DTIs":[18,29,83,94],"are":[19,30,48,129,161],"costly":[20],"and":[21,63,108,140,145,193,253],"time":[22],"consuming.":[23],"Effective":[24],"computational":[25],"methods":[26,47],"predict":[28,51,82],"useful":[31],"speed":[33],"up":[34],"the":[35,58,64,133,136,141,165,168,178,189,214,218,243],"process":[36],"of":[37,42,55,60,66,99,167,217],"discovery.":[39],"A":[40],"variety":[41],"non-negativity":[43],"matrix":[44,68,101,139,174,191,219],"factorization":[45,69,102],"based":[46],"proposed":[49],"DTIs,":[52],"but":[53],"most":[54],"them":[56],"overlooked":[57],"sparsity":[59,166],"feature":[61,169],"matrices":[62,170],"convergence":[65],"adopted":[67],"algorithms,":[70],"therefore":[71],"their":[72],"performances":[73],"can":[74],"be":[75],"further":[76],"improved.":[77],"Results":[78],"In":[79,234],"order":[80],"more":[84],"accurately,":[85],"we":[86],"propose":[87],"novel":[89],"method":[90],"iPALM-DLMF.":[91],"iPALM-DLMF":[92,180,226],"models":[93],"prediction":[95],"as":[96],"problem":[98],"non-negative":[100,173,182],"with":[103],"graph":[104,125],"dual":[105,126],"regularization":[106,122,127,159],"terms":[107,128,160],"$$L_{2,1}$$":[109,146],"<mml:math":[110,147],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">":[111,148],"<mml:msub>":[112,149],"<mml:mi>L</mml:mi>":[113,150],"<mml:mrow>":[114,151],"<mml:mn>2</mml:mn>":[115,152],"<mml:mo>,</mml:mo>":[116,153],"<mml:mn>1</mml:mn>":[117,154],"</mml:mrow>":[118,155],"</mml:msub>":[119,156],"</mml:math>":[120,157],"norm":[121,158],"terms.":[123],"The":[124],"used":[130,162],"integrate":[132],"information":[134],"from":[135],"similarity":[138,143],"target":[142],"matrix,":[144],"ensure":[164],"obtained":[171],"by":[172,242,247,263],"factorization.":[175,220],"To":[176],"solve":[177],"model,":[179],"adopts":[181],"double":[183],"singular":[184],"value":[185],"decomposition":[186],"initialize":[188],"nonnegative":[190],"factorization,":[192],"an":[194],"inertial":[195],"Proximal":[196],"Alternating":[197],"Linearized":[198],"Minimization":[199],"iterating":[200],"process,":[201],"which":[202],"has":[203,227],"been":[204,251,267],"proved":[205],"converge":[207],"KKT":[210],"point,":[211],"obtain":[213],"final":[215],"result":[216],"Extensive":[221],"experimental":[222],"results":[223],"show":[224],"that":[225],"better":[228],"performance":[229],"than":[230],"other":[231],"state-of-the-art":[232],"methods.":[233],"case":[235],"studies,":[236],"50":[238,255],"highest-scoring":[239,256],"proteins":[240],"targeted":[241],"gabapentin":[245],"predicted":[246,262],"iPALM-DLMF,":[248,264],"46":[249],"have":[250,266],"validated,":[252],"drugs":[257],"targeting":[258],"prostaglandin-endoperoxide":[259],"synthase":[260],"2":[261],"47":[265],"validated.":[268]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2023-10-04T00:00:00"}
