{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T23:29:52Z","timestamp":1776209392944,"version":"3.50.1"},"reference-count":54,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2019,6,17]],"date-time":"2019-06-17T00:00:00Z","timestamp":1560729600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2019,6,17]],"date-time":"2019-06-17T00:00:00Z","timestamp":1560729600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61403077"],"award-info":[{"award-number":["61403077"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Natural\u00a0Science\u00a0Foundation\u00a0for\u00a0Youths\u00a0of\u00a0JiLin\u00a0Province","award":["20150520061JH"],"award-info":[{"award-number":["20150520061JH"]}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"crossref","award":["2412019FZ047"],"award-info":[{"award-number":["2412019FZ047"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Bioinformatics"],"published-print":{"date-parts":[[2019,12]]},"DOI":"10.1186\/s12859-019-2938-7","type":"journal-article","created":{"date-parts":[[2019,6,17]],"date-time":"2019-06-17T14:03:13Z","timestamp":1560780193000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Analysis and prediction of human acetylation using a cascade classifier based on support vector machine"],"prefix":"10.1186","volume":"20","author":[{"given":"Qiao","family":"Ning","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Miao","family":"Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinchao","family":"Ji","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhiqiang","family":"Ma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9868-5102","authenticated-orcid":false,"given":"Xiaowei","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,6,17]]},"reference":[{"issue":"1","key":"2938_CR1","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1016\/j.bbrc.2005.04.124","volume":"332","author":"Y Machida","year":"2005","unstructured":"Machida Y, Chiba T, Takayanagi A, et al. Common anti-apoptotic roles of parkin and alpha-synuclein in human dopaminergic cells.[J]. Biochemical & Biophysical Research Communications. 2005;332(1):233\u201340.","journal-title":"Biochemical & Biophysical Research Communications"},{"issue":"2","key":"2938_CR2","doi-asserted-by":"publisher","first-page":"229","DOI":"10.1016\/S0003-9861(02)00468-X","volume":"406","author":"C Lind","year":"2002","unstructured":"Lind C, Gerdes R, Hamnell Y, et al. Identification of S-glutathionylated cellular proteins during oxidative stress and constitutive metabolism by affinity purification and proteomic analysis.[J]. Archives of Biochemistry & Biophysics. 2002;406(2):229\u201340.","journal-title":"Archives of Biochemistry & Biophysics"},{"issue":"2014","key":"2938_CR3","volume":"2014","author":"CT Lu","year":"2015","unstructured":"Lu CT, Lee TY, Chen YJ, et al. An intelligent system for identifying acetylated lysine on histones and nonhistone proteins.[J]. Biomed Res Int. 2015;2014(2014):528650.","journal-title":"Biomed Res Int"},{"key":"2938_CR4","doi-asserted-by":"publisher","DOI":"10.1038\/srep39787","volume":"6","author":"W Deng","year":"2016","unstructured":"Deng W, Wang C, Zhang Y, et al. GPS-PAIL: prediction of lysine acetyltransferase-specific modification sites from protein sequences[J]. Sci Rep. 2016;6:39787.","journal-title":"Sci Rep"},{"issue":"8","key":"2938_CR5","doi-asserted-by":"publisher","first-page":"977","DOI":"10.2174\/092986609788923338","volume":"16","author":"Songling Li","year":"2009","unstructured":"Li S, Li H, Li M, et al. Improved prediction of lysine acetylation by support vector machines.[J]. Protein Pept Lett. 2009;16(8).","journal-title":"Protein & Peptide Letters"},{"issue":"15","key":"2938_CR6","doi-asserted-by":"publisher","first-page":"2759","DOI":"10.1002\/jcc.21569","volume":"31","author":"TY Lee","year":"2010","unstructured":"Lee TY, Hsu BK, Lin FM, et al. N-ace: using solvent accessibility and physicochemical properties to identify protein N-acetylation sites[J]. J Comput Chem. 2010;31(15):2759\u201371.","journal-title":"J Comput Chem"},{"issue":"1","key":"2938_CR7","doi-asserted-by":"publisher","first-page":"130","DOI":"10.1016\/j.jtbi.2010.01.013","volume":"264","author":"Y Xu","year":"2010","unstructured":"Xu Y, Wang XB, Ding J, et al. Lysine acetylation sites prediction using an ensemble of support vector machine classifiers[J]. J Theor Biol. 2010;264(1):130\u20135.","journal-title":"J Theor Biol"},{"issue":"11","key":"2938_CR8","doi-asserted-by":"publisher","first-page":"2964","DOI":"10.1039\/c2mb25251a","volume":"8","author":"J Shao","year":"2012","unstructured":"Shao J, Xu D, Hu L, et al. Systematic analysis of human lysine acetylation proteins and accurate prediction of human lysine acetylation through bi-relative adapted binomial score Bayes feature representation.[J]. Mol BioSyst. 2012;8(11):2964\u201373.","journal-title":"Mol BioSyst"},{"issue":"5","key":"2938_CR9","doi-asserted-by":"publisher","first-page":"1520","DOI":"10.1039\/c2mb05502c","volume":"8","author":"SP Shi","year":"2012","unstructured":"Shi SP, Qiu JD, Sun XY, et al. PLMLA: prediction of lysine methylation and lysine acetylation by combining multiple features.[J]. Mol BioSyst. 2012;8(5):1520\u20137.","journal-title":"Mol BioSyst"},{"issue":"4","key":"2938_CR10","doi-asserted-by":"publisher","first-page":"223","DOI":"10.1016\/j.jtbi.2012.06.030","volume":"310","author":"SP Shi","year":"2012","unstructured":"Shi SP, Qiu JD, Sun XY, et al. A method to distinguish between lysine acetylation and lysine methylation from protein sequences[J]. J Theor Biol. 2012;310(4):223\u201330.","journal-title":"J Theor Biol"},{"issue":"11","key":"2938_CR11","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0049108","volume":"7","author":"SB Suo","year":"2012","unstructured":"Suo SB, Qiu JD, Shi SP, et al. Position-specific analysis and prediction for protein lysine acetylation based on multiple features[J]. PLoS One. 2012;7(11):e49108.","journal-title":"PLoS One"},{"issue":"2","key":"2938_CR12","doi-asserted-by":"publisher","first-page":"949","DOI":"10.1021\/pr301007j","volume":"12","author":"SB Suo","year":"2013","unstructured":"Suo SB, Qiu JD, Shi SP, et al. Proteome-wide analysis of amino acid variations that influence protein lysine acetylation[J]. J Proteome Res. 2013;12(2):949\u201358.","journal-title":"J Proteome Res"},{"issue":"2","key":"2938_CR13","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0089575","volume":"9","author":"T Hou","year":"2014","unstructured":"Hou T, Zheng G, Zhang P, et al. LAceP: lysine acetylation site prediction using logistic regression classifiers[J]. PLoS One. 2014;9(2):e89575.","journal-title":"PLoS One"},{"issue":"\u65e0","key":"2938_CR14","doi-asserted-by":"crossref","first-page":"5765","DOI":"10.1038\/srep05765","volume":"4","author":"Y Li","year":"2014","unstructured":"Li Y, Wang M, Wang H, et al. Accurate in silico identification of species-specific acetylation sites by integrating protein sequence-derived and functional features[J]. Sci Rep. 2014;4(\u65e0):5765.","journal-title":"Sci Rep"},{"issue":"20","key":"2938_CR15","doi-asserted-by":"publisher","first-page":"3116","DOI":"10.1093\/bioinformatics\/btw380","volume":"32","author":"WR Qiu","year":"2016","unstructured":"Qiu WR, Sun BQ, Xiao X, et al. iPTM-mLys: identifying multiple lysine PTM sites and their different types[J]. Bioinformatics. 2016;32(20):3116\u201323.","journal-title":"Bioinformatics"},{"issue":"5","key":"2938_CR16","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0155370","volume":"11","author":"W Qiqige","year":"2016","unstructured":"Qiqige W, Wei Z, Zhang Y, et al. Improved species-specific lysine acetylation site prediction based on a large variety of features set:[J]. PLoS One. 2016;11(5):e0155370.","journal-title":"PLoS One"},{"issue":"Web Server issu","key":"2938_CR17","doi-asserted-by":"publisher","first-page":"376","DOI":"10.1093\/nar\/gks437","volume":"40","author":"L Wang","year":"2012","unstructured":"Wang L, Du Y, Lu M, et al. ASEB: a web server for KAT-specific acetylation site prediction.[J]. Nucleic Acids Res. 2012;40(Web Server issue):376\u20139.","journal-title":"Nucleic Acids Res"},{"key":"2938_CR18","doi-asserted-by":"publisher","first-page":"Database issue)","DOI":"10.1093\/nar\/gkt1093","volume":"42","author":"Z Liu","year":"2014","unstructured":"Liu Z, Wang Y, Gao T, et al. CPLM: a database of protein lysine modifications[J]. Nucleic Acids Res. 2014;42:Database issue):531\u20136.","journal-title":"Nucleic Acids Res"},{"issue":"5","key":"2938_CR19","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1016\/j.jgg.2017.03.007","volume":"44","author":"H Xu","year":"2017","unstructured":"Xu H, Zhou J, Lin S, et al. PLMD: an updated data resource of protein lysine modifications[J]. Journal of genetics and genomics = Yi chuan xue bao. 2017;44(5):243\u201350.","journal-title":"Journal of genetics and genomics = Yi chuan xue bao"},{"issue":"Database issue","key":"2938_CR20","doi-asserted-by":"publisher","first-page":"D261","DOI":"10.1093\/nar\/gkr1122","volume":"40","author":"PV Hornbeck","year":"2012","unstructured":"Hornbeck PV, Kornhauser JM, Tkachev S, et al. PhosphoSitePlus: a comprehensive resource for investigating the structure and function of experimentally determined post-translational modifications in man and mouse[J]. Nucleic Acids Res. 2012;40(Database issue):D261\u201370.","journal-title":"Nucleic Acids Res"},{"key":"2938_CR21","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1007\/978-1-4939-3167-5_2","volume":"1374","author":"E Boutet","year":"2016","unstructured":"Boutet E, Lieberherr D, Tognolli M, et al. UniProtKB\/Swiss-Prot, the manually annotated section of the UniProt KnowledgeBase: how to use the entry view[J]. Methods Mol Biol. 2016;1374:23\u201354.","journal-title":"Methods Mol Biol"},{"issue":"1","key":"2938_CR22","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1093\/nar\/30.1.245","volume":"30","author":"J Westbrook","year":"2002","unstructured":"Westbrook J, Feng Z, Jain S, et al. The protein data Bank: unifying the archive[J]. Nucleic Acids Res. 2002;30(1):245.","journal-title":"Nucleic Acids Res"},{"issue":"10","key":"2938_CR23","doi-asserted-by":"publisher","first-page":"2363","DOI":"10.1101\/gr.1680803","volume":"13","author":"S Peri","year":"2003","unstructured":"Peri S, Navarro JD, Amanchy R, et al. Development of human protein reference database as an initial platform for approaching systems biology in humans.[J]. Genome Res. 2003;13(10):2363.","journal-title":"Genome Res"},{"key":"2938_CR24","doi-asserted-by":"crossref","unstructured":"Hu L L , Li Z , Wang K , et al. Prediction and analysis of protein methylarginine and methyllysine based on multisequence features[J]. Biopolymers, 2011, 95(11):0\u20130.","DOI":"10.1002\/bip.21645"},{"issue":"12","key":"2938_CR25","doi-asserted-by":"publisher","first-page":"8347","DOI":"10.3390\/ijms12128347","volume":"12","author":"X Zhao","year":"2011","unstructured":"Zhao X, Li X, Ma Z, et al. Prediction of lysine Ubiquitylation with ensemble classifier and feature selection[J]. Int J Mol Sci. 2011;12(12):8347\u201361.","journal-title":"Int J Mol Sci"},{"issue":"1","key":"2938_CR26","doi-asserted-by":"publisher","first-page":"368","DOI":"10.1093\/nar\/27.1.368","volume":"27","author":"S Kawashima","year":"1999","unstructured":"Kawashima S, Ogata H, Kanehisa M. AAindex: amino acid index database.[J]. Nucleic Acids Res. 1999;27(1):368\u20139.","journal-title":"Nucleic Acids Res"},{"key":"2938_CR27","unstructured":"Zhao X, Ning Q, Ai M, et al. PGluS: prediction of protein S-glutathionylation sites with multiple features and analysis[J]. Mol BioSyst."},{"issue":"13","key":"2938_CR28","doi-asserted-by":"publisher","first-page":"4441","DOI":"10.1073\/pnas.84.13.4441","volume":"84","author":"K Yutani","year":"1987","unstructured":"Yutani K, Ogasahara K, Tsujita T, et al. Dependence of conformational stability on hydrophobicity of the amino acid residue in a series of variant proteins substituted at a unique position of tryptophan synthase alpha subunit.[J]. Proc Natl Acad Sci U S A. 1987;84(13):4441\u20134.","journal-title":"Proc Natl Acad Sci U S A"},{"issue":"2","key":"2938_CR29","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1002\/prot.340190207","volume":"19","author":"M Vihinen","year":"2010","unstructured":"Vihinen M, Torkkila E, Riikonen P. Accuracy of protein flexibility predictions.[J]. Proteins-structure Function & Bioinformatics. 2010;19(2):141\u20139.","journal-title":"Proteins-structure Function & Bioinformatics"},{"issue":"1","key":"2938_CR30","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1006\/jmbi.1999.2657","volume":"288","author":"M Monn\u00e9","year":"1999","unstructured":"Monn\u00e9 M, Hermansson M, Von HG. A turn propensity scale for transmembrane helices.[J]. J Mol Biol. 1999;288(1):141\u20135.","journal-title":"J Mol Biol"},{"issue":"17","key":"2938_CR31","doi-asserted-by":"publisher","first-page":"3389","DOI":"10.1093\/nar\/25.17.3389","volume":"25","author":"SF Altschul","year":"1997","unstructured":"Altschul SF, Madden TL, Schaffer AA, et al. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res. 1997;25(17):3389\u2013402.","journal-title":"Nucleic Acids Res"},{"issue":"2","key":"2938_CR32","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1109\/TNB.2011.2160730","volume":"10","author":"D Yu","year":"2011","unstructured":"Yu D, Shen H, Yang J. SOMRuler: a novel interpretable transmembrane helices predictor[J]. IEEE Trans Nanobioscience. 2011;10(2):121\u20139.","journal-title":"IEEE Trans Nanobioscience"},{"issue":"6","key":"2938_CR33","doi-asserted-by":"publisher","first-page":"2195","DOI":"10.1007\/s00726-011-0959-2","volume":"42","author":"DJ Yu","year":"2012","unstructured":"Yu DJ, Shen HB. SOMPNN: an efficient non-parametric model for predicting transmembrane helices[J]. Amino Acids. 2012;42(6):2195\u2013205.","journal-title":"Amino Acids"},{"issue":"3","key":"2938_CR34","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1016\/j.neucom.2012.04.015","volume":"94","author":"MH Zangooei","year":"2012","unstructured":"Zangooei MH, Jalili S. Protein secondary structure prediction using DWKF based on SVR-NSGAII[J]. Neurocomputing. 2012;94(3):87\u2013101.","journal-title":"Neurocomputing"},{"issue":"1","key":"2938_CR35","doi-asserted-by":"publisher","first-page":"118","DOI":"10.1186\/1471-2105-13-118","volume":"13","author":"Ya-Nan Zhang","year":"2012","unstructured":"Zhang Y N, Yu D J, Li S S, et al. Predicting protein-ATP binding sites from primary sequence through fusing bi-profile sampling of multi-view features[J]. Bmc Bioinformatics, 2012, 13(1):118\u2013118.","journal-title":"BMC Bioinformatics"},{"issue":"20","key":"2938_CR36","doi-asserted-by":"publisher","first-page":"2655","DOI":"10.1093\/bioinformatics\/btp500","volume":"25","author":"Q Dong","year":"2009","unstructured":"Dong Q, Zhou S, Guan J. A new taxonomy-based protein fold recognition approach based on autocross-covariance transformation[J]. Bioinformatics. 2009;25(20):2655\u201362.","journal-title":"Bioinformatics"},{"issue":"9","key":"2938_CR37","doi-asserted-by":"publisher","first-page":"3025","DOI":"10.1093\/nar\/gkn159","volume":"36","author":"Y Guo","year":"2008","unstructured":"Guo Y, Yu L, Wen Z, et al. Using support vector machine combined with auto covariance to predict protein-protein interactions from protein sequences[J]. Nucleic Acids Res. 2008;36(9):3025\u201330.","journal-title":"Nucleic Acids Res"},{"key":"2938_CR38","doi-asserted-by":"crossref","unstructured":"Liu B, Wang X, Lin L, et al. A discriminative method for protein remote homology detection and fold recognition combining top- n -grams and latent semantic analysis[J]. Bmc Bioinformatics, 2008, 9(1):510\u2013510.","DOI":"10.1186\/1471-2105-9-510"},{"issue":"20","key":"2938_CR39","doi-asserted-by":"publisher","first-page":"3815","DOI":"10.1111\/j.1742-4658.2011.08215.x","volume":"278","author":"M Landreh","year":"2011","unstructured":"Landreh M, Astorga-Wells J, Johansson J, et al. New developments in protein structure\u2013function analysis by MS and use of hydrogen\u2013deuterium exchange microfluidics[J]. FEBS J. 2011;278(20):3815\u201321.","journal-title":"FEBS J"},{"issue":"12","key":"2938_CR40","doi-asserted-by":"publisher","first-page":"2577","DOI":"10.1002\/bip.360221211","volume":"22","author":"W Kabsch","year":"2010","unstructured":"Kabsch W, Sander C. Dictionary of protein secondary structure: pattern recognition of hydrogen-bonded and geometrical features[J]. Biopolymers. 2010;22(12):2577\u2013637.","journal-title":"Biopolymers"},{"key":"2938_CR41","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1093\/protein\/11.1.11","volume":"11","author":"L Ehrlich","year":"1998","unstructured":"Ehrlich L, et al. Prediction of waterbinding sites on proteins using neural networks. Protein Eng. 1998;11:11\u20139.","journal-title":"Protein Eng"},{"issue":"12","key":"2938_CR42","doi-asserted-by":"publisher","first-page":"1973","DOI":"10.1016\/S0196-9781(01)00540-X","volume":"22","author":"KC Chou","year":"2001","unstructured":"Chou KC. Prediction of signal peptides using scaled window.[J]. Peptides. 2001;22(12):1973\u20139.","journal-title":"Peptides"},{"issue":"6","key":"2938_CR43","doi-asserted-by":"publisher","first-page":"e68","DOI":"10.1093\/nar\/gks1450","volume":"41","author":"W Chen","year":"2013","unstructured":"Chen W, Feng PM, Lin H, et al. IRSpot-PseDNC: identify recombination spots with pseudo dinucleotide composition[J]. Nucleic Acids Res. 2013;41(6):e68.","journal-title":"Nucleic Acids Res"},{"key":"2938_CR44","doi-asserted-by":"crossref","unstructured":"Qiu WR, Jiang SY, Sun BQ, et al. iRNA-2methyl: identify RNA 2\u2032-O-methylation sites by incorporating sequence-coupled effects into general PseKNC and ensemble classifier.[J]. Med Chem. 2017;13(8).","DOI":"10.2174\/1573406413666170623082245"},{"issue":"25","key":"2938_CR45","doi-asserted-by":"publisher","first-page":"41178","DOI":"10.18632\/oncotarget.17104","volume":"8","author":"WR Qiu","year":"2017","unstructured":"Qiu WR, Jiang SY, Xu ZC, et al. iRNAm5C-PseDNC: identifying RNA 5-methylcytosine sites by incorporating physical-chemical properties into pseudo dinucleotide composition[J]. Oncotarget. 2017;8(25):41178\u201388.","journal-title":"Oncotarget"},{"key":"2938_CR46","unstructured":"Shahid A, Maqsood H. iMethyl-STTNC: identification of N 6 -methyladenosine sites by extending the idea of SAAC into Chou's PseAAC to formulate RNA sequences[J]. J Theor Biol. 2018:S0022519318303436."},{"key":"2938_CR47","unstructured":"Wei C, Hui D, Xu Z, et al. iRNA(m6A)-PseDNC: identifying N6-methyladenosine sites using pseudo dinucleotide composition[J]. Anal Biochem. 2018:S0003269718307632."},{"key":"2938_CR48","doi-asserted-by":"publisher","first-page":"468","DOI":"10.1016\/j.omtn.2018.03.012","volume":"11","author":"W Chen","year":"2018","unstructured":"Chen W, Feng P, Yang H, et al. iRNA-3typeA: identifying three types of modification at RNA's adenosine sites.[J]. Molecular Therapy Nucleic Acids. 2018;11:468\u201374.","journal-title":"Molecular Therapy Nucleic Acids"},{"key":"2938_CR49","doi-asserted-by":"crossref","unstructured":"Feng P, Yang H, Ding H, et al. iDNA6mA-PseKNC: identifying DNA N 6 -methyladenosine sites by incorporating nucleotide physicochemical properties into PseKNC[J]. Genomics. 2018:S0888754318300090.","DOI":"10.1016\/j.ygeno.2018.01.005"},{"issue":"8","key":"2938_CR50","doi-asserted-by":"publisher","first-page":"1226","DOI":"10.1109\/TPAMI.2005.159","volume":"27","author":"HC Peng","year":"2005","unstructured":"Peng HC, Long FH, Ding C. Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy. Ieee T Pattern Anal. 2005;27(8):1226\u201338.","journal-title":"Ieee T Pattern Anal"},{"key":"2938_CR51","volume-title":"Statistical learning theory","author":"VVN Wiley","year":"1998","unstructured":"Wiley VVN. Statistical learning theory. New York: John Wiley; 1998."},{"issue":"3","key":"2938_CR52","first-page":"27","volume":"2","author":"CC Chang","year":"2011","unstructured":"Chang CC, Lin CJ. LIBSVM: a library for support vector machines. ACM T INTEL SYST TEC. 2011;2(3):27.","journal-title":"ACM T INTEL SYST TEC"},{"issue":"7","key":"2938_CR53","doi-asserted-by":"publisher","first-page":"746","DOI":"10.1109\/TNB.2015.2475359","volume":"14","author":"ZS Wei","year":"2015","unstructured":"Wei ZS, Yang JY, Shen HB, et al. A Cascade random forests algorithm for predicting protein-protein interaction sites[J]. IEEE Transactions on Nanobioscience. 2015;14(7):746\u201360.","journal-title":"IEEE Transactions on Nanobioscience"},{"issue":"11","key":"2938_CR54","first-page":"1083","volume":"45","author":"W Yiping","year":"2015","unstructured":"Yiping W. Regulation of metabolism by lysine acetylation and its role in metabolic diseases[J]. Sci Sinica. 2015;45(11):1083\u201392.","journal-title":"Sci Sinica"}],"container-title":["BMC Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s12859-019-2938-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1186\/s12859-019-2938-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s12859-019-2938-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,19]],"date-time":"2024-07-19T21:13:02Z","timestamp":1721423582000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcbioinformatics.biomedcentral.com\/articles\/10.1186\/s12859-019-2938-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,6,17]]},"references-count":54,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2019,12]]}},"alternative-id":["2938"],"URL":"https:\/\/doi.org\/10.1186\/s12859-019-2938-7","relation":{},"ISSN":["1471-2105"],"issn-type":[{"value":"1471-2105","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,6,17]]},"assertion":[{"value":"31 March 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 June 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 June 2019","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Not applicable.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare that they have no competing interests.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"346"}}