{"id":"https://openalex.org/W2787652318","doi":"https://doi.org/10.1142/s021972001850004x","title":"Boosted neural networks scoring functions for accurate ligand docking and ranking","display_name":"Boosted neural networks scoring functions for accurate ligand docking and ranking","publication_year":2018,"publication_date":"2018-02-05","ids":{"openalex":"https://openalex.org/W2787652318","doi":"https://doi.org/10.1142/s021972001850004x","mag":"2787652318","pmid":"https://pubmed.ncbi.nlm.nih.gov/29495922"},"language":"en","primary_location":{"id":"doi:10.1142/s021972001850004x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s021972001850004x","pdf_url":null,"source":{"id":"https://openalex.org/S155349577","display_name":"Journal of Bioinformatics and Computational Biology","issn_l":"0219-7200","issn":["0219-7200","1757-6334"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311754","host_organization_name":"Imperial College Press","host_organization_lineage":["https://openalex.org/P4310311754"],"host_organization_lineage_names":["Imperial College Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Bioinformatics and Computational Biology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038216756","display_name":"Hossam M. Ashtawy","orcid":"https://orcid.org/0000-0002-5589-9274"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hossam M. Ashtawy","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Michigan State University, East Lansing, Michigan 48824, USA"],"raw_orcid":"https://orcid.org/0000-0002-5589-9274","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Michigan State University, East Lansing, Michigan 48824, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108624212","display_name":"Nihar R. Mahapatra","orcid":"https://orcid.org/0000-0002-3821-3330"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Nihar R. Mahapatra","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Michigan State University, East Lansing, Michigan 48824, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Michigan State University, East Lansing, Michigan 48824, USA","institution_ids":["https://openalex.org/I87216513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5108624212"],"corresponding_institution_ids":["https://openalex.org/I87216513"],"apc_list":null,"apc_paid":null,"fwci":2.3511,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.89603682,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"16","issue":"02","first_page":"1850004","last_page":"1850004"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9998000264167786,"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":0.9998000264167786,"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/T11948","display_name":"Machine Learning in Materials Science","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10044","display_name":"Protein Structure and Dynamics","score":0.9868999719619751,"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/docking","display_name":"Docking (animal)","score":0.6940736770629883},{"id":"https://openalex.org/keywords/virtual-screening","display_name":"Virtual screening","score":0.6513420343399048},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6229609847068787},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6172001361846924},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5656275153160095},{"id":"https://openalex.org/keywords/binding-affinities","display_name":"Binding affinities","score":0.5287565588951111},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4415700137615204},{"id":"https://openalex.org/keywords/decoy","display_name":"Decoy","score":0.43081629276275635},{"id":"https://openalex.org/keywords/drug-discovery","display_name":"Drug discovery","score":0.364467591047287},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32057616114616394},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.14810407161712646},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.13233858346939087},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.12203404307365417}],"concepts":[{"id":"https://openalex.org/C41685203","wikidata":"https://www.wikidata.org/wiki/Q1974042","display_name":"Docking (animal)","level":2,"score":0.6940736770629883},{"id":"https://openalex.org/C103697762","wikidata":"https://www.wikidata.org/wiki/Q4112105","display_name":"Virtual screening","level":3,"score":0.6513420343399048},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6229609847068787},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6172001361846924},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5656275153160095},{"id":"https://openalex.org/C3018795828","wikidata":"https://www.wikidata.org/wiki/Q899107","display_name":"Binding affinities","level":3,"score":0.5287565588951111},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4415700137615204},{"id":"https://openalex.org/C2779179475","wikidata":"https://www.wikidata.org/wiki/Q3545649","display_name":"Decoy","level":3,"score":0.43081629276275635},{"id":"https://openalex.org/C74187038","wikidata":"https://www.wikidata.org/wiki/Q1418791","display_name":"Drug discovery","level":2,"score":0.364467591047287},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32057616114616394},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.14810407161712646},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.13233858346939087},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.12203404307365417},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C159110408","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing","level":1,"score":0.0},{"id":"https://openalex.org/C170493617","wikidata":"https://www.wikidata.org/wiki/Q208467","display_name":"Receptor","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008024","descriptor_name":"Ligands","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008024","descriptor_name":"Ligands","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008024","descriptor_name":"Ligands","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":"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":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000378","qualifier_name":"metabolism","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":"D012359","descriptor_name":"tRNA Methyltransferases","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D012359","descriptor_name":"tRNA Methyltransferases","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D012359","descriptor_name":"tRNA Methyltransferases","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D012359","descriptor_name":"tRNA Methyltransferases","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D012359","descriptor_name":"tRNA Methyltransferases","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D012359","descriptor_name":"tRNA Methyltransferases","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D013329","descriptor_name":"Structure-Activity Relationship","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013329","descriptor_name":"Structure-Activity Relationship","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013329","descriptor_name":"Structure-Activity Relationship","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015195","descriptor_name":"Drug Design","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015195","descriptor_name":"Drug Design","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015195","descriptor_name":"Drug Design","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D029968","descriptor_name":"Escherichia coli Proteins","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D029968","descriptor_name":"Escherichia coli Proteins","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D029968","descriptor_name":"Escherichia coli Proteins","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D029968","descriptor_name":"Escherichia coli Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D029968","descriptor_name":"Escherichia coli Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D029968","descriptor_name":"Escherichia coli Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D030562","descriptor_name":"Databases, Protein","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D030562","descriptor_name":"Databases, Protein","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D030562","descriptor_name":"Databases, Protein","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D062105","descriptor_name":"Molecular Docking Simulation","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D062105","descriptor_name":"Molecular Docking Simulation","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D062105","descriptor_name":"Molecular Docking Simulation","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1142/s021972001850004x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s021972001850004x","pdf_url":null,"source":{"id":"https://openalex.org/S155349577","display_name":"Journal of Bioinformatics and Computational Biology","issn_l":"0219-7200","issn":["0219-7200","1757-6334"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311754","host_organization_name":"Imperial College Press","host_organization_lineage":["https://openalex.org/P4310311754"],"host_organization_lineage_names":["Imperial College Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Bioinformatics and Computational Biology","raw_type":"journal-article"},{"id":"pmid:29495922","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29495922","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 bioinformatics and computational biology","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.5899999737739563}],"awards":[{"id":"https://openalex.org/G960507818","display_name":null,"funder_award_id":"1117900","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1497260480","https://openalex.org/W1973925672","https://openalex.org/W1993403967","https://openalex.org/W2020470488","https://openalex.org/W2028609644","https://openalex.org/W2030286884","https://openalex.org/W2050456292","https://openalex.org/W2067732724","https://openalex.org/W2070493638","https://openalex.org/W2071557543","https://openalex.org/W2078374001","https://openalex.org/W2085312881","https://openalex.org/W2092285329","https://openalex.org/W2103496339","https://openalex.org/W2128332459","https://openalex.org/W2130479394","https://openalex.org/W2134967712","https://openalex.org/W2137983211","https://openalex.org/W2148512505","https://openalex.org/W2171656814","https://openalex.org/W2264791733","https://openalex.org/W2332489861","https://openalex.org/W2346710580","https://openalex.org/W2526925775","https://openalex.org/W2583907533","https://openalex.org/W2729949860","https://openalex.org/W3100704554","https://openalex.org/W3104705366","https://openalex.org/W3146467503","https://openalex.org/W4247163697","https://openalex.org/W4249358576"],"related_works":["https://openalex.org/W2088388996","https://openalex.org/W2124981562","https://openalex.org/W2187341605","https://openalex.org/W2114320488","https://openalex.org/W3005094479","https://openalex.org/W1973364873","https://openalex.org/W2059230675","https://openalex.org/W2376003823","https://openalex.org/W2773493604","https://openalex.org/W2269591907"],"abstract_inverted_index":{"Predicting":[0],"the":[1,10,38,135,146,180,186,197,200,227,270,278,302,317,385,396],"native":[2,79,98,147],"poses":[3,35,80],"of":[4,9,77,85,141,156,176,185,199,215,264,272,372,393,398],"ligands":[5,289,300],"correctly":[6,298],"is":[7,45,56,68,322],"one":[8,391],"most":[11,39],"important":[12],"steps":[13],"towards":[14],"successful":[15],"structure-based":[16],"drug":[17],"design.":[18],"Binding":[19],"affinities":[20,125],"(BAs)":[21],"estimated":[22],"by":[23,283,369],"traditional":[24],"scoring":[25],"functions":[26],"(SFs)":[27],"are":[28,71,93,151],"typically":[29],"used":[30],"to":[31,36,95,118,276,287,295,366],"score":[32],"and":[33,48,58,99,159,182,211,246,297,310,357,381],"rank-order":[34],"select":[37,277],"promising":[40],"conformation.":[41],"This":[42],"BA-based":[43,260,285],"approach":[44,271],"widely":[46],"applied":[47],"some":[49],"success":[50],"has":[51],"been":[52,109],"reported,":[53],"but":[54],"it":[55],"inconsistent":[57],"still":[59],"far":[60],"from":[61,145,374],"perfect.":[62],"The":[63],"main":[64],"reason":[65],"for":[66,104,173,235,301],"this":[67,114],"that":[69,122,205,232,269,338,388],"SFs":[70,121,189,195,221,234,345],"trained":[72],"on":[73,153,244,256,342,347],"experimental":[74],"BA":[75,292],"values":[76],"only":[78,390],"found":[81],"in":[82,166,196,226],"co-crystallized":[83],"structures":[84],"protein-ligand":[86],"complexes":[87],"(PLCs).":[88],"However,":[89],"during":[90],"docking,":[91],"they":[92,106],"needed":[94],"discriminate":[96],"between":[97],"decoy":[100],"poses,":[101],"a":[102,142,212,223,329],"task":[103],"which":[105],"have":[107],"not":[108],"specifically":[110],"designed.":[111],"To":[112],"overcome":[113],"limitation,":[115],"we":[116,267],"propose":[117],"build":[119],"task-specific":[120],"model":[123,242,364],"binding":[124],"(scoring":[126],"task)":[127,133],"as":[128,130,190,192,353],"well":[129,191],"conformations":[131],"(docking":[132],"using":[134,273,290],"root":[136],"mean":[137],"square":[138],"deviation":[139],"(RMSD)":[140],"ligand":[143,280],"pose":[144,281],"pose.":[148],"Our":[149,218],"models":[150,250,340],"based":[152,243,341,346],"boosted":[154],"ensembles":[155],"neural":[157,239,331],"networks":[158,240],"other":[160,248,348],"state-of-the-art":[161,349],"machine":[162],"learning":[163],"(ML)":[164],"algorithms":[165,351],"conjunction":[167],"with":[168],"multi-perspective":[169,399],"interaction":[170],"modeling":[171],"techniques":[172],"accurate":[174,327],"characterization":[175],"PLCs.":[177],"We":[178,230,335],"assess":[179],"docking":[181,228],"scoring/ranking":[183,265],"accuracies":[184],"proposed":[187,219],"ML":[188,249,350],"three":[193,207],"conventional":[194],"context":[198],"2014":[201],"CSAR":[202],"benchmark":[203],"exercise":[204],"encompasses":[206],"high-quality":[208],"protein":[209,304],"systems":[210],"diverse":[213],"set":[214,392],"drug-like":[216],"molecules.":[217],"docking-specific":[220],"provide":[222,251],"substantial":[224],"improvement":[225],"task.":[229],"find":[231,268,337],"RMSD-based":[233,274],"BsN,":[236],"an":[237],"ensemble":[238,318,339],"(NN)":[241],"boosting,":[245],"six":[247],"more":[252,326],"than":[253,328],"120%":[254],"improvement,":[255],"average,":[257],"over":[258],"their":[259],"counterparts.":[261],"In":[262,315],"terms":[263],"accuracy,":[266],"BsN":[275,286,321],"top":[279],"followed":[282],"applying":[284],"rank":[288],"predicted":[291],"scores":[293],"leads":[294],"consistent":[296],"ranked":[299],"two":[303],"targets":[305],"Spleen":[306],"Tyrosine":[307],"Kinase":[308],"(SYK)":[309],"tRNA":[311],"(m1G37)":[312],"methyltransferase":[313],"(TrmD).":[314],"addition,":[316],"NN":[319],"SF":[320,386],"at":[323],"least":[324],"250%":[325],"single":[330],"network":[332],"(SNN)":[333],"model.":[334],"further":[336],"NNs":[343],"surpass":[344],"such":[352],"BRT,":[354],"RF,":[355],"SVM,":[356],"[Formula:":[358],"see":[359],"text]NN.":[360],"Finally,":[361],"our":[362],"RF":[363],"fitted":[365],"PLCs":[367],"characterized":[368],"multiple":[370],"sets":[371],"descriptors":[373],"four":[375],"different":[376],"sources":[377],"(X-Score,":[378],"AffiScore,":[379],"RF-Score,":[380],"GOLD)":[382],"substantially":[383],"outperforms":[384],"RF-Score":[387],"uses":[389],"features,":[394],"underlining":[395],"value":[397],"modeling.":[400]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
