{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,23]],"date-time":"2026-03-23T10:13:24Z","timestamp":1774260804724,"version":"3.50.1"},"reference-count":46,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2011,11,14]],"date-time":"2011-11-14T00:00:00Z","timestamp":1321228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BioData Mining"],"published-print":{"date-parts":[[2011,12]]},"abstract":"<jats:title>Abstract<\/jats:title>\n          <jats:sec>\n            <jats:title>Background<\/jats:title>\n            <jats:p>Maturation inhibitors such as Bevirimat are a new class of antiretroviral drugs that hamper the cleavage of HIV-1 proteins into their functional active forms. They bind to these preproteins and inhibit their cleavage by the HIV-1 protease, resulting in non-functional virus particles. Nevertheless, there exist mutations in this region leading to resistance against Bevirimat. Highly specific and accurate tools to predict resistance to maturation inhibitors can help to identify patients, who might benefit from the usage of these new drugs.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Results<\/jats:title>\n            <jats:p>We tested several methods to improve Bevirimat resistance prediction in HIV-1. It turned out that combining structural and sequence-based information in classifier ensembles led to accurate and reliable predictions. Moreover, we were able to identify the most crucial regions for Bevirimat resistance computationally, which are in line with experimental results from other studies.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Conclusions<\/jats:title>\n            <jats:p>Our analysis demonstrated the use of machine learning techniques to predict HIV-1 resistance against maturation inhibitors such as Bevirimat. New maturation inhibitors are already under development and might enlarge the arsenal of antiretroviral drugs in the future. Thus, accurate prediction tools are very useful to enable a personalized therapy.<\/jats:p>\n          <\/jats:sec>","DOI":"10.1186\/1756-0381-4-26","type":"journal-article","created":{"date-parts":[[2011,11,16]],"date-time":"2011-11-16T03:06:42Z","timestamp":1321412802000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["Improved Bevirimat resistance prediction by combination of structural and sequence-based classifiers"],"prefix":"10.1186","volume":"4","author":[{"given":"J Nikolaj","family":"Dybowski","sequence":"first","affiliation":[]},{"given":"Mona","family":"Riemenschneider","sequence":"additional","affiliation":[]},{"given":"Sascha","family":"Hauke","sequence":"additional","affiliation":[]},{"given":"Martin","family":"Pyka","sequence":"additional","affiliation":[]},{"given":"Jens","family":"Verheyen","sequence":"additional","affiliation":[]},{"given":"Daniel","family":"Hoffmann","sequence":"additional","affiliation":[]},{"given":"Dominik","family":"Heider","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2011,11,14]]},"reference":[{"key":"58_CR1","first-page":"162","volume":"9","author":"K Salzwedel","year":"2007","unstructured":"Salzwedel K, Martin D, Sakalian M: Maturation inhibitors: a new therapeutic class targets the virus structure. AIDS Rev. 2007, 9: 162-172.","journal-title":"AIDS Rev"},{"issue":"4","key":"58_CR2","doi-asserted-by":"publisher","first-page":"1420","DOI":"10.1128\/JVI.01926-10","volume":"85","author":"PW Keller","year":"2011","unstructured":"Keller PW, Adamson CS, Heymann JB, Freed EO, Steven AC: HIV-1 maturation inhibitor bevirimat stabilizes the immature Gag lattice. J Virol. 2011, 85 (4): 1420-1428. 10.1128\/JVI.01926-10.","journal-title":"J Virol"},{"key":"58_CR3","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1109\/5254.972080","volume":"16","author":"N Beerenwinkel","year":"2001","unstructured":"Beerenwinkel N, Schmidt B, Walter H, Kaiser R, Lengauer T, Hoffmann D, Korn K, Selbig J: Geno2pheno: Interpreting Genotypic HIV Drug Resistance Tests. IEEE Intelligent Systems. 2001, 16: 35-41. 10.1109\/5254.972080.","journal-title":"IEEE Intelligent Systems"},{"issue":"12","key":"58_CR4","doi-asserted-by":"publisher","first-page":"8271","DOI":"10.1073\/pnas.112177799","volume":"99","author":"N Beerenwinkel","year":"2002","unstructured":"Beerenwinkel N, Schmidt B, Walter H, Kaiser R, Lengauer T, Hoffmann D, Korn K, Selbig J: Diversity and complexity of HIV-1 drug resistance: a bioinformatics approach to predicting phenotype from genotype. Proc Natl Acad Sci USA. 2002, 99 (12): 8271-8276. 10.1073\/pnas.112177799.","journal-title":"Proc Natl Acad Sci USA"},{"key":"58_CR5","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1093\/bioinformatics\/19.1.98","volume":"19","author":"S Draghici","year":"2003","unstructured":"Draghici S, Potter RB: Predicting HIV drug resistance with neural networks. Bioinformatics. 2003, 19: 98-107. 10.1093\/bioinformatics\/19.1.98.","journal-title":"Bioinformatics"},{"issue":"46","key":"58_CR6","doi-asserted-by":"publisher","first-page":"17355","DOI":"10.1073\/pnas.0607274103","volume":"103","author":"SY Rhee","year":"2006","unstructured":"Rhee SY, Taylor J, Wadhera G, Ben-Hur A, Brutlag DL, Shafer RW: Genotypic predictors of human immunodeficiency virus type 1 drug resistance. Proc Natl Acad Sci USA. 2006, 103 (46): 17355-17360. 10.1073\/pnas.0607274103.","journal-title":"Proc Natl Acad Sci USA"},{"key":"58_CR7","doi-asserted-by":"crossref","first-page":"109","DOI":"10.4137\/BBI.S3382","volume":"3","author":"M Kierczak","year":"2009","unstructured":"Kierczak M, Ginalski K, Drami\u0144ski M, Koronacki J, Rudnicki W, Komorowski J: A Rough Set-Based Model of HIV-1 Reverse Transcriptase Resistome. Bioinform Biol Insights. 2009, 3: 109-127.","journal-title":"Bioinform Biol Insights"},{"issue":"10","key":"58_CR8","doi-asserted-by":"publisher","first-page":"1113","DOI":"10.1097\/QAD.0b013e32830184a1","volume":"22","author":"RJ Murray","year":"2008","unstructured":"Murray RJ, Lewis FI, Miller MD, Brown AJ: Genetic basis of variation in tenofovir drug susceptibility in HIV-1. AIDS. 2008, 22 (10): 1113-23. 10.1097\/QAD.0b013e32830184a1.","journal-title":"AIDS"},{"issue":"4","key":"58_CR9","doi-asserted-by":"publisher","first-page":"e1000743","DOI":"10.1371\/journal.pcbi.1000743","volume":"6","author":"JN Dybowski","year":"2010","unstructured":"Dybowski JN, Heider D, Hoffmann D: Prediction of co-receptor usage of HIV-1 from genotype. PLoS Comput Biol. 2010, 6 (4): e1000743-10.1371\/journal.pcbi.1000743.","journal-title":"PLoS Comput Biol"},{"key":"58_CR10","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1186\/1471-2105-11-37","volume":"11","author":"D Heider","year":"2010","unstructured":"Heider D, Verheyen J, Hoffmann D: Predicting Bevirimat resistance of HIV-1 from genotype. BMC Bioinformatics. 2010, 11: 37-10.1186\/1471-2105-11-37.","journal-title":"BMC Bioinformatics"},{"key":"58_CR11","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L Breiman","year":"2001","unstructured":"Breiman L: Random Forests. Machine Learning. 2001, 45: 5-32. 10.1023\/A:1010933404324.","journal-title":"Machine Learning"},{"key":"58_CR12","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1016\/0022-2836(82)90515-0","volume":"157","author":"J Kyte","year":"1982","unstructured":"Kyte J, Doolittle R: A simple method for displaying the hydropathic character of a protein. J Mol Biol. 1982, 157: 105-132. 10.1016\/0022-2836(82)90515-0.","journal-title":"J Mol Biol"},{"key":"58_CR13","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1002\/(SICI)1097-0134(199601)24:1<51::AID-PROT4>3.0.CO;2-R","volume":"24","author":"KC Chou","year":"1996","unstructured":"Chou KC, Tomasselli AG, Reardon IM, Heinrikson RL: Predicting human immunodeficiency virus protease cleavage sites in proteins by a discriminant function method. Proteins. 1996, 24: 51-72. 10.1002\/(SICI)1097-0134(199601)24:1<51::AID-PROT4>3.0.CO;2-R.","journal-title":"Proteins"},{"key":"58_CR14","doi-asserted-by":"publisher","first-page":"1947","DOI":"10.1021\/ci034160g","volume":"43","author":"V Svetnik","year":"2003","unstructured":"Svetnik V, Liaw A, Tong C, Culberson JC, Sheridan RP, Feuston BP: Random forest: a classification and regression tool for compound classification and QSAR modeling. J Chem Inf Comput Sci. 2003, 43: 1947-1958. 10.1021\/ci034160g.","journal-title":"J Chem Inf Comput Sci"},{"key":"58_CR15","doi-asserted-by":"publisher","first-page":"409","DOI":"10.1007\/s00726-008-0076-z","volume":"36","author":"L Nanni","year":"2009","unstructured":"Nanni L, Lumini A: Using ensembles of classifiers for predicting HIV protease cleavage sites in proteins. Amino Acids. 2009, 36: 409-416. 10.1007\/s00726-008-0076-z.","journal-title":"Amino Acids"},{"key":"58_CR16","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1093\/bib\/bbq008","volume":"12","author":"C Wong","year":"2010","unstructured":"Wong C, Li Y, Lee C, Huang CH: Ensemble learning algorithms for classification of mtDNA into haplogroups. Briefings in bioinformatics. 2010, 12: 1-9.","journal-title":"Briefings in bioinformatics"},{"key":"58_CR17","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1016\/S0893-6080(05)80023-1","volume":"5","author":"D Wolpert","year":"1992","unstructured":"Wolpert D: Stacked generalization. Neural Networks. 1992, 5: 241-260. 10.1016\/S0893-6080(05)80023-1.","journal-title":"Neural Networks"},{"issue":"4","key":"58_CR18","doi-asserted-by":"publisher","first-page":"327","DOI":"10.1109\/4235.887233","volume":"4","author":"LI Kuncheva","year":"2000","unstructured":"Kuncheva LI, Jain LC: Designing Classifier Fusion Systems by Genetic Algorithms. IEEE Transactions on Evolutionary Computation. 2000, 4 (4): 327-336. 10.1109\/4235.887233.","journal-title":"IEEE Transactions on Evolutionary Computation"},{"issue":"4","key":"58_CR19","doi-asserted-by":"publisher","first-page":"337","DOI":"10.1016\/j.asoc.2005.11.001","volume":"6","author":"B Gabrys","year":"2006","unstructured":"Gabrys B, Ruta D: Genetic algorithms in classifier fusion. Applied Soft Computing. 2006, 6 (4): 337-347. 10.1016\/j.asoc.2005.11.001.","journal-title":"Applied Soft Computing"},{"key":"58_CR20","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1186\/1471-2105-9-45","volume":"9","author":"L Nanni","year":"2008","unstructured":"Nanni L, Lumini A: A genetic approach for building different alphabets for peptide and protein classification. BMC bioinformatics. 2008, 9: 45-10.1186\/1471-2105-9-45.","journal-title":"BMC bioinformatics"},{"key":"58_CR21","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1186\/1471-2105-9-109","volume":"9","author":"W Gronwald","year":"2008","unstructured":"Gronwald W, Hohm T, Hoffmann D: Evolutionary Pareto-optimization of stably folding peptides. BMC Bioinformatics. 2008, 9: 109-10.1186\/1471-2105-9-109.","journal-title":"BMC Bioinformatics"},{"key":"58_CR22","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1002\/prot.22211","volume":"75","author":"A Kernytsky","year":"2009","unstructured":"Kernytsky A, Rost B: Using genetic algorithms to select most predictive protein features. Proteins. 2009, 75: 75-88. 10.1002\/prot.22211.","journal-title":"Proteins"},{"issue":"2","key":"58_CR23","doi-asserted-by":"publisher","first-page":"402","DOI":"10.1016\/j.jneumeth.2010.11.007","volume":"194","author":"M Pyka","year":"2011","unstructured":"Pyka M, Heider D, Hauke S, Kircher T, Jansen A: Dynamic causal modeling with genetic algorithms. J Neurosci Methods. 2011, 194 (2): 402-406. 10.1016\/j.jneumeth.2010.11.007.","journal-title":"J Neurosci Methods"},{"key":"58_CR24","doi-asserted-by":"publisher","first-page":"861","DOI":"10.1016\/j.patrec.2005.10.010","volume":"27","author":"T Fawcett","year":"2006","unstructured":"Fawcett T: An introduction to ROC analysis. Pattern Recognition Letters. 2006, 27: 861-874. 10.1016\/j.patrec.2005.10.010.","journal-title":"Pattern Recognition Letters"},{"issue":"20","key":"58_CR25","doi-asserted-by":"publisher","first-page":"3940","DOI":"10.1093\/bioinformatics\/bti623","volume":"21","author":"T Sing","year":"2005","unstructured":"Sing T, Sander O, Beerenwinkel N, Lengauer T: ROCR: visualizing classifier performance in R. Bioinformatics. 2005, 21 (20): 3940-3941. 10.1093\/bioinformatics\/bti623.","journal-title":"Bioinformatics"},{"key":"58_CR26","doi-asserted-by":"publisher","first-page":"80","DOI":"10.2307\/3001968","volume":"1","author":"F Wilcoxon","year":"1945","unstructured":"Wilcoxon F: Individual comparisons by ranking methods. Biometrics. 1945, 1: 80-83. 10.2307\/3001968.","journal-title":"Biometrics"},{"key":"58_CR27","first-page":"1","volume":"7","author":"J Demsar","year":"2006","unstructured":"Demsar J: Statistical comparisons of classifiers over multiple data sets. Journal of Machine Learning Research. 2006, 7: 1-30.","journal-title":"Journal of Machine Learning Research"},{"key":"58_CR28","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1186\/1756-0381-4-16","volume":"4","author":"D Heider","year":"2011","unstructured":"Heider D, Hoffmann D: Interpol: An R package for preprocessing of protein sequences. BioData Mining. 2011, 4: 16-10.1186\/1756-0381-4-16.","journal-title":"BioData Mining"},{"issue":"Database issue","key":"58_CR29","first-page":"D202","volume":"36","author":"S Kawashima","year":"2008","unstructured":"Kawashima S, Pokarowski P, Pokarowska M, Kolinski A, Katayama T, Kanehisa M: AAindex: amino acid index database, progress report 2008. Nucleic Acids Res. 2008, 36 (Database issue): D202-D205.","journal-title":"Nucleic Acids Res"},{"key":"58_CR30","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1186\/1756-0500-4-94","volume":"4","author":"D Heider","year":"2011","unstructured":"Heider D, Verheyen J, Hoffmann D: Machine learning on normalized protein sequences. BMC Research Notes. 2011, 4: 94-10.1186\/1756-0500-4-94.","journal-title":"BMC Research Notes"},{"issue":"3","key":"58_CR31","first-page":"18","volume":"2","author":"A Liaw","year":"2002","unstructured":"Liaw A, Wiener M: Classification and Regression by randomForest. R News. 2002, 2 (3): 18-22.","journal-title":"R News"},{"key":"58_CR32","volume-title":"R: A Language and Environment for Statistical Computing","author":"R Development Core Team","year":"2006","unstructured":"R Development Core Team: R: A Language and Environment for Statistical Computing. 2006, R Foundation for Statistical Computing, Vienna, Austria, ISBN 3-900051-07-0"},{"key":"58_CR33","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1093\/bib\/bbq011","volume":"12","author":"ML Calle","year":"2010","unstructured":"Calle ML, Urrea V: Letter to the Editor: Stability of Random Forest importance measures. Briefings in bioinformatics. 2010, 12: 86-89.","journal-title":"Briefings in bioinformatics"},{"issue":"9","key":"58_CR34","doi-asserted-by":"publisher","first-page":"1","DOI":"10.18637\/jss.v011.i09","volume":"11","author":"A Karatzoglou","year":"2004","unstructured":"Karatzoglou A, Smola A, Hornik K, Zeileis A: kernlab - An S4 Package for Kernel Methods in R. Journal of Statistical Software. 2004, 11 (9): 1-20.","journal-title":"Journal of Statistical Software"},{"key":"58_CR35","doi-asserted-by":"publisher","first-page":"375","DOI":"10.1110\/ps.041087605","volume":"14","author":"N Morellet","year":"2004","unstructured":"Morellet N, Druillennec S, Lenoir C, Bouaziz S, Roques B: Helical structure determined by NMR of the HIV-1 (345-392)Gag sequence, surrounding p2: Implications for particle assembly and RNA packaging. Protein Science. 2004, 14: 375-386.","journal-title":"Protein Science"},{"issue":"3","key":"58_CR36","doi-asserted-by":"publisher","first-page":"779","DOI":"10.1006\/jmbi.1993.1626","volume":"234","author":"A Sali","year":"1993","unstructured":"Sali A, Blundell TL: Comparative protein modelling by satisfaction of spatial restraints. J Mol Biol. 1993, 234 (3): 779-815. 10.1006\/jmbi.1993.1626.","journal-title":"J Mol Biol"},{"key":"58_CR37","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1186\/1471-2156-7-23","volume":"7","author":"AG Heidema","year":"2006","unstructured":"Heidema AG, Boer JMA, Nagelkerke N, Mariman ECM, van der ADL, Feskens EJM: The challenge for genetic epidemiologists: how to analyze large numbers of SNPs in relation to complex diseases. BMC Genet. 2006, 7: 23-","journal-title":"BMC Genet"},{"issue":"4","key":"58_CR38","doi-asserted-by":"publisher","first-page":"865","DOI":"10.1016\/0022-2836(88)90564-5","volume":"202","author":"N Qian","year":"1988","unstructured":"Qian N, Sejnowski TJ: Predicting the secondary structure of globular proteins using neural network models. Journal of molecular biology. 1988, 202 (4): 865-84. 10.1016\/0022-2836(88)90564-5.","journal-title":"Journal of molecular biology"},{"key":"58_CR39","doi-asserted-by":"publisher","first-page":"452","DOI":"10.1002\/1097-0134(20010301)42:4<452::AID-PROT40>3.0.CO;2-Q","volume":"42","author":"H Naderi-Manesh","year":"2001","unstructured":"Naderi-Manesh H, Sadeghi M, Arab S, Movahedi AAM: Prediction of protein surface accessibility with information theory. Proteins. 2001, 42: 452-459. 10.1002\/1097-0134(20010301)42:4<452::AID-PROT40>3.0.CO;2-Q.","journal-title":"Proteins"},{"issue":"3","key":"58_CR40","doi-asserted-by":"publisher","first-page":"255","DOI":"10.1023\/B:MACH.0000015881.36452.6e","volume":"54","author":"S D\u017eeroski","year":"2004","unstructured":"D\u017eeroski S, \u017denko B: Is Combining Classifiers with Stacking Better than Selecting the Best One?. Machine Learning. 2004, 54 (3): 255-273.","journal-title":"Machine Learning"},{"key":"58_CR41","volume-title":"International Joint Conference on Artificial Intelligence","author":"KM Ting","year":"1997","unstructured":"Ting KM, Witten IH: Stacked Generalization: when does it work?. International Joint Conference on Artificial Intelligence. 1997"},{"key":"58_CR42","doi-asserted-by":"publisher","first-page":"2185","DOI":"10.1128\/AAC.01650-08","volume":"53","author":"K van Baelen","year":"2009","unstructured":"van Baelen K, Salzwedel K, Rondelez E, Eygen VV, Vos SD, Verheyen A, Steegen K, Verlinden Y, Allaway GP, Stuyver LJ: Susceptibility of human immunodeficiency virus type 1 to the maturation inhibitor bevirimat is modulated by baseline polymorphisms in Gag spacer peptide 1. Antimicrob Agents Chemother. 2009, 53: 2185-2188. 10.1128\/AAC.01650-08.","journal-title":"Antimicrob Agents Chemother"},{"issue":"24","key":"58_CR43","doi-asserted-by":"publisher","first-page":"12095","DOI":"10.1128\/JVI.01626-06","volume":"80","author":"J Zhou","year":"2006","unstructured":"Zhou J, Chen CH, Aiken C: Human immunodeficiency virus type 1 resistance to the small molecule maturation inhibitor 3-O-(3',3'-dimethylsuccinyl)-betulinic acid is conferred by a variety of single amino acid substitutions at the CA-SP1 cleavage site in Gag. J Virol. 2006, 80 (24): 12095-101. 10.1128\/JVI.01626-06.","journal-title":"J Virol"},{"issue":"Pt 1","key":"58_CR44","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1107\/S0907444998007689","volume":"55","author":"DK Worthylake","year":"1999","unstructured":"Worthylake DK, Wang H, Yoo S, Sundquist WI, Hill CP: Structures of the HIV-1 capsid protein dimerization domain at 2.6 A resolution. Acta Crystallogr D Biol Crystallogr. 1999, 55 (Pt 1): 85-92.","journal-title":"Acta Crystallogr D Biol Crystallogr"},{"issue":"5","key":"58_CR45","doi-asserted-by":"publisher","first-page":"669","DOI":"10.1097\/QAD.0b013e32833160fa","volume":"24","author":"J Verheyen","year":"2010","unstructured":"Verheyen J, Verhofstede C, Knops E, Vandekerckhove L, Fun A, Brunen D, Dauwe K, Wensing A, Pfister H, Kaiser R, Nijhuis M: High prevalence of bevirimat resistance mutations in protease inhibitor-resistant HIV isolates. AIDS. 2010, 24 (5): 669-673. 10.1097\/QAD.0b013e32833160fa.","journal-title":"AIDS"},{"key":"58_CR46","doi-asserted-by":"publisher","first-page":"773","DOI":"10.1097\/QAD.0b013e328331c83b","volume":"24","author":"MA Wainberg","year":"2010","unstructured":"Wainberg MA, Albert J: Can the further clinical development of bevirimat be justified?. AIDS. 2010, 24: 773-774. 10.1097\/QAD.0b013e328331c83b.","journal-title":"AIDS"}],"container-title":["BioData Mining"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/1756-0381-4-26.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1186\/1756-0381-4-26\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/1756-0381-4-26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/1756-0381-4-26.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,9,1]],"date-time":"2021-09-01T18:00:52Z","timestamp":1630519252000},"score":1,"resource":{"primary":{"URL":"https:\/\/biodatamining.biomedcentral.com\/articles\/10.1186\/1756-0381-4-26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011,11,14]]},"references-count":46,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2011,12]]}},"alternative-id":["58"],"URL":"https:\/\/doi.org\/10.1186\/1756-0381-4-26","relation":{},"ISSN":["1756-0381"],"issn-type":[{"value":"1756-0381","type":"electronic"}],"subject":[],"published":{"date-parts":[[2011,11,14]]},"assertion":[{"value":"15 June 2011","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 November 2011","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 November 2011","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}],"article-number":"26"}}