{"id":"https://openalex.org/W4417222675","doi":"https://doi.org/10.1021/acs.jcim.5c02178","title":"GlySitePred: Identification of Glycation Modification Sites Based on Deep Feature Fusion and NCR-CC Sampling Technology","display_name":"GlySitePred: Identification of Glycation Modification Sites Based on Deep Feature Fusion and NCR-CC Sampling Technology","publication_year":2025,"publication_date":"2025-12-11","ids":{"openalex":"https://openalex.org/W4417222675","doi":"https://doi.org/10.1021/acs.jcim.5c02178","pmid":"https://pubmed.ncbi.nlm.nih.gov/41376296"},"language":"en","primary_location":{"id":"doi:10.1021/acs.jcim.5c02178","is_oa":false,"landing_page_url":"https://doi.org/10.1021/acs.jcim.5c02178","pdf_url":null,"source":{"id":"https://openalex.org/S167262187","display_name":"Journal of Chemical Information and Modeling","issn_l":"1549-9596","issn":["1549-9596","1549-960X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320006","host_organization_name":"American Chemical Society","host_organization_lineage":["https://openalex.org/P4310320006"],"host_organization_lineage_names":["American Chemical Society"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Chemical Information and Modeling","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/A5063000042","display_name":"Jiayue Liu","orcid":"https://orcid.org/0000-0003-0853-8158"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayue Liu","raw_affiliation_strings":["Jiangnan University","School of Artificial Intelligence and Computer Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangnan University","institution_ids":["https://openalex.org/I111599522"]},{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065888073","display_name":"Yun Zuo","orcid":"https://orcid.org/0009-0009-3877-8102"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yun Zuo","raw_affiliation_strings":["Jiangnan University","School of Artificial Intelligence and Computer Science"],"raw_orcid":"https://orcid.org/0009-0009-3877-8102","affiliations":[{"raw_affiliation_string":"Jiangnan University","institution_ids":["https://openalex.org/I111599522"]},{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Youxu Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youxu Tan","raw_affiliation_strings":["Hunan University","School of Design"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan University","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"School of Design","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044728846","display_name":"Wenying He","orcid":"https://orcid.org/0009-0009-2452-7580"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenying He","raw_affiliation_strings":["Hebei University of Technology","School of Artificial Intelligence"],"raw_orcid":"https://orcid.org/0009-0009-2452-7580","affiliations":[{"raw_affiliation_string":"Hebei University of Technology","institution_ids":["https://openalex.org/I184843921"]},{"raw_affiliation_string":"School of Artificial Intelligence","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035053999","display_name":"Sisi Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sisi Yuan","raw_affiliation_strings":["Department of Bioinformatics and Genomics","University of North Carolina at Charlotte"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Bioinformatics and Genomics","institution_ids":[]},{"raw_affiliation_string":"University of North Carolina at Charlotte","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042607110","display_name":"Zhaohong Deng","orcid":"https://orcid.org/0000-0002-0790-6492"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaohong Deng","raw_affiliation_strings":["Jiangnan University","School of Artificial Intelligence and Computer Science"],"raw_orcid":"https://orcid.org/0000-0002-0790-6492","affiliations":[{"raw_affiliation_string":"Jiangnan University","institution_ids":["https://openalex.org/I111599522"]},{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5065888073"],"corresponding_institution_ids":["https://openalex.org/I111599522"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29545371,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"65","issue":"24","first_page":"13420","last_page":"13434"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.8733000159263611,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.8733000159263611,"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/T11142","display_name":"Advanced Glycation End Products research","score":0.05429999902844429,"subfield":{"id":"https://openalex.org/subfields/1308","display_name":"Clinical Biochemistry"},"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.008200000040233135,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.6216999888420105},{"id":"https://openalex.org/keywords/glycation","display_name":"Glycation","score":0.5177000164985657},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.43299999833106995},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.41940000653266907},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4169999957084656},{"id":"https://openalex.org/keywords/protein-sequencing","display_name":"Protein sequencing","score":0.34150001406669617},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33889999985694885},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.3377000093460083},{"id":"https://openalex.org/keywords/drug-discovery","display_name":"Drug discovery","score":0.3312999904155731}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.682200014591217},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.6216999888420105},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5608000159263611},{"id":"https://openalex.org/C147990577","wikidata":"https://www.wikidata.org/wiki/Q25790","display_name":"Glycation","level":3,"score":0.5177000164985657},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.48249998688697815},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4722000062465668},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.43299999833106995},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.41940000653266907},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4169999957084656},{"id":"https://openalex.org/C10010492","wikidata":"https://www.wikidata.org/wiki/Q3142557","display_name":"Protein sequencing","level":4,"score":0.34150001406669617},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33889999985694885},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.3377000093460083},{"id":"https://openalex.org/C74187038","wikidata":"https://www.wikidata.org/wiki/Q1418791","display_name":"Drug discovery","level":2,"score":0.3312999904155731},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3285999894142151},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.31630000472068787},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.30570000410079956},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.30390000343322754},{"id":"https://openalex.org/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","level":2,"score":0.2937000095844269},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.2867000102996826},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.26339998841285706},{"id":"https://openalex.org/C111364199","wikidata":"https://www.wikidata.org/wiki/Q2915896","display_name":"Protein methods","level":4,"score":0.2621000111103058},{"id":"https://openalex.org/C68762167","wikidata":"https://www.wikidata.org/wiki/Q910164","display_name":"Cheminformatics","level":2,"score":0.26190000772476196},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.25850000977516174},{"id":"https://openalex.org/C2776016237","wikidata":"https://www.wikidata.org/wiki/Q178430","display_name":"Lysine","level":3,"score":0.25519999861717224},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2549999952316284},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.2538999915122986},{"id":"https://openalex.org/C124535831","wikidata":"https://www.wikidata.org/wiki/Q4915074","display_name":"Biomarker discovery","level":4,"score":0.25040000677108765}],"mesh":[{"descriptor_ui":"D006031","descriptor_name":"Glycosylation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006031","descriptor_name":"Glycosylation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008239","descriptor_name":"Lysine","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D008239","descriptor_name":"Lysine","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D008239","descriptor_name":"Lysine","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D008239","descriptor_name":"Lysine","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D011499","descriptor_name":"Protein Processing, Post-Translational","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011499","descriptor_name":"Protein Processing, Post-Translational","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":"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}],"locations_count":2,"locations":[{"id":"doi:10.1021/acs.jcim.5c02178","is_oa":false,"landing_page_url":"https://doi.org/10.1021/acs.jcim.5c02178","pdf_url":null,"source":{"id":"https://openalex.org/S167262187","display_name":"Journal of Chemical Information and Modeling","issn_l":"1549-9596","issn":["1549-9596","1549-960X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320006","host_organization_name":"American Chemical Society","host_organization_lineage":["https://openalex.org/P4310320006"],"host_organization_lineage_names":["American Chemical Society"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Chemical Information and Modeling","raw_type":"journal-article"},{"id":"pmid:41376296","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41376296","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 chemical information and modeling","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1369565487","display_name":null,"funder_award_id":"JUSRP124014","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6876770771","display_name":null,"funder_award_id":"62302198","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1532202009","https://openalex.org/W2025542832","https://openalex.org/W2046914949","https://openalex.org/W2050566492","https://openalex.org/W2062155582","https://openalex.org/W2103525038","https://openalex.org/W2106887764","https://openalex.org/W2153456067","https://openalex.org/W2170747616","https://openalex.org/W2172609270","https://openalex.org/W2282821441","https://openalex.org/W2555891876","https://openalex.org/W2610582292","https://openalex.org/W2612634114","https://openalex.org/W2765093153","https://openalex.org/W2796346355","https://openalex.org/W2799900537","https://openalex.org/W2897458141","https://openalex.org/W2899279931","https://openalex.org/W2905744876","https://openalex.org/W2979040066","https://openalex.org/W2993336308","https://openalex.org/W3096599651","https://openalex.org/W3112889838","https://openalex.org/W3203741962","https://openalex.org/W4212994316","https://openalex.org/W4312827846","https://openalex.org/W4319982435","https://openalex.org/W4385255463","https://openalex.org/W4389074776","https://openalex.org/W4401452491"],"related_works":[],"abstract_inverted_index":{"Protein":[0],"glycation,":[1],"a":[2,40,142,158,164],"critical":[3],"post-translational":[4],"modification":[5,353],"process,":[6,298],"involves":[7],"the":[8,32,44,70,110,120,124,151,194,216,226,238,261,316],"covalent":[9],"binding":[10],"of":[11,35,48,60,64,73,114,126,197,228],"sugar":[12],"molecules":[13],"to":[14,338,357],"specific":[15],"amino":[16],"acid":[17],"residues":[18],"(such":[19],"as":[20,87,186,253],"lysine":[21,145],"and":[22,46,55,75,90,104,112,170,189,205,236,255,299,308],"arginine)":[23],"in":[24,43,123,221,290],"proteins.":[25],"This":[26,345],"process":[27],"not":[28,313],"only":[29,314],"significantly":[30,207,277],"regulates":[31],"biological":[33],"activity":[34],"proteins":[36,74],"but":[37,324],"also":[38,325],"plays":[39],"pivotal":[41],"role":[42],"onset":[45],"progression":[47],"various":[49],"major":[50],"diseases,":[51],"including":[52],"neurodegenerative":[53],"disorders":[54],"metabolic":[56],"dysfunctions.":[57],"Accurate":[58],"identification":[59],"glycation":[61,115,128,146,342,352],"sites":[62],"is":[63,320],"great":[65],"scientific":[66],"value":[67],"for":[68,167,269,351],"elucidating":[69],"molecular":[71],"mechanisms":[72],"their":[76],"pathological":[77],"associations.":[78],"Currently,":[79],"while":[80,191],"experimental":[81],"detection":[82],"techniques":[83,184],"face":[84],"challenges":[85,122],"such":[86,185,252],"being":[88],"time-consuming":[89],"costly,":[91],"existing":[92,279],"computational":[93,136],"methods":[94,251,280],"are":[95],"hindered":[96],"by":[97],"core":[98],"issues":[99],"like":[100,203],"imbalanced":[101,229],"data":[102,147,161],"distribution":[103],"feature":[105,176,213],"redundancy,":[106],"which":[107],"greatly":[108],"limit":[109],"accuracy":[111],"reliability":[113],"site":[116,129,343],"prediction.":[117],"To":[118,304],"address":[119],"key":[121],"field":[125],"protein":[127,144,199,341],"prediction,":[130],"this":[131,154,222,257,311],"study":[132,155,223,258,312],"proposes":[133],"an":[134,327],"innovative":[135,346],"solution\u2500the":[137],"GlySitePred":[138,173,276],"model.":[139],"Based":[140],"on":[141,333],"human":[143],"set":[148],"constructed":[149],"from":[150,355],"PLMD":[152],"database,":[153],"carefully":[156],"developed":[157,326],"high-quality":[159],"benchmark":[160],"set,":[162],"providing":[163,265],"solid":[165],"foundation":[166],"model":[168,209,234],"training":[169,230],"evaluation.":[171],"Methodologically,":[172],"integrates":[174],"multiple":[175],"extraction":[177],"approaches:":[178],"it":[179],"incorporates":[180],"traditional":[181],"sequence":[182],"encoding":[183],"AAC,":[187],"Kmer,":[188],"One-hot,":[190],"innovatively":[192],"combining":[193],"representational":[195],"capabilities":[196],"advanced":[198,248],"large":[200],"language":[201],"models":[202],"ESM2":[204],"ProstT5,":[206],"enhancing":[208],"performance":[210],"through":[211],"multilevel":[212],"fusion.":[214],"Notably,":[215],"NCR-CC":[217],"undersampling":[218],"algorithm":[219],"proposed":[220],"effectively":[224],"mitigates":[225],"issue":[227],"data.":[231],"Through":[232],"systematic":[233],"comparison":[235],"optimization,":[237],"selected":[239],"XGBoost":[240],"framework":[241],"demonstrates":[242],"superior":[243],"predictive":[244,293],"performance.":[245],"By":[246],"employing":[247],"interpretability":[249],"analysis":[250],"SHAP":[254],"LIME,":[256],"thoroughly":[259],"elucidates":[260],"model's":[262],"decision-making":[263,297],"mechanisms,":[264],"valuable":[266],"theoretical":[267],"insights":[268],"future":[270],"research.":[271],"Experimental":[272],"results":[273],"show":[274],"that":[275],"outperforms":[278],"across":[281],"all":[282],"evaluation":[283],"metrics,":[284],"with":[285],"its":[286],"advantages":[287],"primarily":[288],"reflected":[289],"(1)":[291],"precise":[292],"capability,":[294],"(2)":[295],"transparent":[296],"(3)":[300],"practical":[301,309],"tool":[302,331],"support.":[303],"facilitate":[305],"academic":[306],"exchange":[307],"application,":[310],"open-sourced":[315],"complete":[317],"code":[318],"(which":[319],"available":[321],"at":[322],"https://github.com/CaptainC0C0C0/GlySitePred)":[323],"interactive":[328],"local":[329],"prediction":[330],"based":[332],"Python":[334],"Tkinter,":[335],"enabling":[336],"researchers":[337],"conveniently":[339],"perform":[340],"analysis.":[344],"achievement":[347],"provides":[348],"comprehensive":[349],"support":[350],"research,":[354],"theory":[356],"practice.":[358]},"counts_by_year":[],"updated_date":"2026-06-15T08:34:33.830935","created_date":"2025-12-11T00:00:00"}
