{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T04:38:09Z","timestamp":1773290289619,"version":"3.50.1"},"reference-count":52,"publisher":"Springer Science and Business Media LLC","issue":"1","content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Bioinformatics"],"published-print":{"date-parts":[[2006,12]]},"abstract":"<jats:title>Abstract<\/jats:title>\n          <jats:sec>\n            <jats:title>Background<\/jats:title>\n            <jats:p>MicroRNAs (miRNAs) are small noncoding RNAs, which play significant roles as posttranscriptional regulators. The functions of animal miRNAs are generally based on complementarity for their 5' components. Although several computational miRNA target-gene prediction methods have been proposed, they still have limitations in revealing actual target genes.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Results<\/jats:title>\n            <jats:p>We implemented miTarget, a support vector machine (SVM) classifier for miRNA target gene prediction. It uses a radial basis function kernel as a similarity measure for SVM features, categorized by structural, thermodynamic, and position-based features. The latter features are introduced in this study for the first time and reflect the mechanism of miRNA binding. The SVM classifier produces high performance with a biologically relevant data set obtained from the literature, compared with previous tools. We predicted significant functions for human miR-1, miR-124a, and miR-373 using Gene Ontology (GO) analysis and revealed the importance of pairing at positions 4, 5, and 6 in the 5' region of a miRNA from a feature selection experiment. We also provide a web interface for the program.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Conclusion<\/jats:title>\n            <jats:p>miTarget is a reliable miRNA target gene prediction tool and is a successful application of an SVM classifier. Compared with previous tools, its predictions are meaningful by GO analysis and its performance can be improved given more training examples.<\/jats:p>\n          <\/jats:sec>","DOI":"10.1186\/1471-2105-7-411","type":"journal-article","created":{"date-parts":[[2006,9,19]],"date-time":"2006-09-19T06:26:17Z","timestamp":1158647177000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":167,"title":["miTarget: microRNA target gene prediction using a support vector machine"],"prefix":"10.1186","volume":"7","author":[{"given":"Sung-Kyu","family":"Kim","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jin-Wu","family":"Nam","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Je-Keun","family":"Rhee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wha-Jin","family":"Lee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Byoung-Tak","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2006,9,18]]},"reference":[{"key":"1150_CR1","doi-asserted-by":"publisher","first-page":"R925","DOI":"10.1016\/j.cub.2003.11.017","volume":"13","author":"EC Lai","year":"2003","unstructured":"Lai EC: microRNAs: runts of the genome assert themselves. Curr Biol 2003, 13: R925\u201336. 10.1016\/j.cub.2003.11.017","journal-title":"Curr Biol"},{"key":"1150_CR2","doi-asserted-by":"publisher","first-page":"e85","DOI":"10.1371\/journal.pbio.0030085","volume":"3","author":"J Brennecke","year":"2005","unstructured":"Brennecke J, Stark A, Russell RB, Cohen SM: Principles of microRNA-target recognition. PLoS Biol 2005, 3: e85. 10.1371\/journal.pbio.0030085","journal-title":"PLoS Biol"},{"key":"1150_CR3","doi-asserted-by":"publisher","first-page":"336","DOI":"10.1126\/science.1085242","volume":"301","author":"JC Carrington","year":"2003","unstructured":"Carrington JC, Ambros V: Role of microRNAs in plant and animal development. Science 2003, 301: 336\u2013338. 10.1126\/science.1085242","journal-title":"Science"},{"key":"1150_CR4","doi-asserted-by":"publisher","first-page":"534","DOI":"10.1016\/j.tibs.2003.08.005","volume":"28","author":"P Nelson","year":"2003","unstructured":"Nelson P, Kiriakidou M, Sharma A, Maniataki E, Mourelatos Z: The microRNA world: small is mighty. Trends Biochem Sci 2003, 28: 534\u2013540. 10.1016\/j.tibs.2003.08.005","journal-title":"Trends Biochem Sci"},{"key":"1150_CR5","doi-asserted-by":"publisher","first-page":"281","DOI":"10.1016\/S0092-8674(04)00045-5","volume":"116","author":"DP Bartel","year":"2004","unstructured":"Bartel DP: MicroRNAs: genomics, biogenesis, mechanism, and function. Cell 2004, 116: 281\u2013297. 10.1016\/S0092-8674(04)00045-5","journal-title":"Cell"},{"key":"1150_CR6","doi-asserted-by":"publisher","first-page":"350","DOI":"10.1038\/nature02871","volume":"431","author":"V Ambros","year":"2004","unstructured":"Ambros V: The functions of animal microRNAs. Nature 2004, 431: 350\u2013355. 10.1038\/nature02871","journal-title":"Nature"},{"key":"1150_CR7","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1126\/science.1122689","volume":"312","author":"AJ Giraldez","year":"2006","unstructured":"Giraldez AJ, Mishima Y, Rihel J, Grocock RJ, Van Dongen S, Inoue K, Enright AJ, Schier AF: Zebrafish MiR-430 promotes deadenylation and clearance of maternal mRNAs. Science 2006, 312: 75\u201379. 10.1126\/science.1122689","journal-title":"Science"},{"key":"1150_CR8","doi-asserted-by":"publisher","first-page":"4034","DOI":"10.1073\/pnas.0510928103","volume":"103","author":"L Wu","year":"2006","unstructured":"Wu L, Fan J, Belasco JG: MicroRNAs direct rapid deadenylation of mRNA. Proc Natl Acad Sci U S A 2006, 103: 4034\u20134039. 10.1073\/pnas.0510928103","journal-title":"Proc Natl Acad Sci U S A"},{"key":"1150_CR9","doi-asserted-by":"publisher","first-page":"2053","DOI":"10.1126\/science.1076311","volume":"297","author":"C Llave","year":"2002","unstructured":"Llave C, Xie Z, Kasschau KD, Carrington JC: Cleavage of Scarecrow-like mRNA targets directed by a class of Arabidopsis miRNA. Science 2002, 297: 2053\u20132056. 10.1126\/science.1076311","journal-title":"Science"},{"key":"1150_CR10","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1038\/nature01958","volume":"425","author":"JF Palatnik","year":"2003","unstructured":"Palatnik JF, Allen E, Wu X, Schommer C, Schwab R, Carrington JC, Weigel D: Control of leaf morphogenesis by microRNAs. Nature 2003, 425: 257\u2013263. 10.1038\/nature01958","journal-title":"Nature"},{"key":"1150_CR11","first-page":"223","volume":"257","author":"G Tang","year":"2004","unstructured":"Tang G, Zamore PD: Biochemical dissection of RNA silencing in plants. Methods Mol Biol 2004, 257: 223\u2013244.","journal-title":"Methods Mol Biol"},{"key":"1150_CR12","doi-asserted-by":"publisher","first-page":"E60","DOI":"10.1371\/journal.pbio.0000060","volume":"1","author":"A Stark","year":"2003","unstructured":"Stark A, Brennecke J, Russell RB, Cohen SM: Identification of Drosophila MicroRNA targets. PLoS Biol 2003, 1: E60. 10.1371\/journal.pbio.0000060","journal-title":"PLoS Biol"},{"key":"1150_CR13","doi-asserted-by":"publisher","first-page":"1619","DOI":"10.1016\/j.chembiol.2004.09.010","volume":"11","author":"MC Vella","year":"2004","unstructured":"Vella MC, Reinert K, Slack FJ: Architecture of a validated microRNA::target interaction. Chem Biol 2004, 11: 1619\u20131623. 10.1016\/j.chembiol.2004.09.010","journal-title":"Chem Biol"},{"key":"1150_CR14","doi-asserted-by":"publisher","first-page":"132","DOI":"10.1101\/gad.1165404","volume":"18","author":"MC Vella","year":"2004","unstructured":"Vella MC, Choi EY, Lin SY, Reinert K, Slack FJ: The C. elegans microRNA let-7 binds to imperfect let-7 complementary sites from the lin-41 3'UTR. Genes Dev 2004, 18: 132\u2013137. 10.1101\/gad.1165404","journal-title":"Genes Dev"},{"key":"1150_CR15","doi-asserted-by":"publisher","first-page":"4006","DOI":"10.1073\/pnas.0500775102","volume":"102","author":"H Robins","year":"2005","unstructured":"Robins H, Li Y, Padgett RW: Incorporating structure to predict microRNA targets. Proc Natl Acad Sci U S A 2005, 102: 4006\u20134009. 10.1073\/pnas.0500775102","journal-title":"Proc Natl Acad Sci U S A"},{"key":"1150_CR16","doi-asserted-by":"publisher","first-page":"1309","DOI":"10.1261\/rna.5206304","volume":"10","author":"U Ohler","year":"2004","unstructured":"Ohler U, Yekta S, Lim LP, Bartel DP, Burge CB: Patterns of flanking sequence conservation and a characteristic upstream motif for microRNA gene identification. Rna 2004, 10: 1309\u20131322. 10.1261\/rna.5206304","journal-title":"Rna"},{"key":"1150_CR17","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1016\/j.cell.2004.12.035","volume":"120","author":"BP Lewis","year":"2005","unstructured":"Lewis BP, Burge CB, Bartel DP: Conserved seed pairing, often flanked by adenosines, indicates that thousands of human genes are microRNA targets. Cell 2005, 120: 15\u201320. 10.1016\/j.cell.2004.12.035","journal-title":"Cell"},{"key":"1150_CR18","doi-asserted-by":"publisher","first-page":"2697","DOI":"10.1093\/nar\/gki567","volume":"33","author":"Y Altuvia","year":"2005","unstructured":"Altuvia Y, Landgraf P, Lithwick G, Elefant N, Pfeffer S, Aravin A, Brownstein MJ, Tuschl T, Margalit H: Clustering and conservation patterns of human microRNAs. Nucleic Acids Res 2005, 33: 2697\u20132706. 10.1093\/nar\/gki567","journal-title":"Nucleic Acids Res"},{"issue":"8","key":"1150_CR19","doi-asserted-by":"publisher","first-page":"991","DOI":"10.1101\/gad.1074403","volume":"17","author":"LP Lim","year":"2003","unstructured":"Lim LP, Lau NC, Weinstein EG, Abdelhakim A, Yekta S, Rhoades MW, Burge CB, Bartel DP: The microRNAs of Caenorhabditis elegans. Genes Dev 2003, 17(8):991\u20131008. 10.1101\/gad.1074403","journal-title":"Genes Dev"},{"key":"1150_CR20","doi-asserted-by":"publisher","first-page":"R42","DOI":"10.1186\/gb-2003-4-7-r42","volume":"4","author":"EC Lai","year":"2003","unstructured":"Lai EC, Tomancak P, Williams RW, Rubin GM: Computational identification of Drosophila microRNA genes. Genome Biol 2003, 4: R42. 10.1186\/gb-2003-4-7-r42","journal-title":"Genome Biol"},{"key":"1150_CR21","doi-asserted-by":"publisher","first-page":"3570","DOI":"10.1093\/nar\/gki668","volume":"33","author":"JW Nam","year":"2005","unstructured":"Nam JW, Shin KR, Han J, Lee Y, Kim VN, Zhang BT: Human microRNA prediction through a probabilistic co-learning model of sequence and structure. Nucleic Acids Res 2005, 33: 3570\u20133581. 10.1093\/nar\/gki668","journal-title":"Nucleic Acids Res"},{"key":"1150_CR22","doi-asserted-by":"publisher","first-page":"513","DOI":"10.1016\/S0092-8674(02)00863-2","volume":"110","author":"MW Rhoades","year":"2002","unstructured":"Rhoades MW, Reinhart BJ, Lim LP, Burge CB, Bartel B, Bartel DP: Prediction of plant microRNA targets. Cell 2002, 110: 513\u2013520. 10.1016\/S0092-8674(02)00863-2","journal-title":"Cell"},{"key":"1150_CR23","doi-asserted-by":"publisher","first-page":"787","DOI":"10.1016\/S0092-8674(03)01018-3","volume":"115","author":"BP Lewis","year":"2003","unstructured":"Lewis BP, Shih IH, Jones-Rhoades MW, Bartel DP, Burge CB: Prediction of mammalian microRNA targets. Cell 2003, 115: 787\u2013798. 10.1016\/S0092-8674(03)01018-3","journal-title":"Cell"},{"key":"1150_CR24","doi-asserted-by":"publisher","first-page":"R1","DOI":"10.1186\/gb-2003-5-1-r1","volume":"5","author":"AJ Enright","year":"2003","unstructured":"Enright AJ, John B, Gaul U, Tuschl T, Sander C, Marks DS: MicroRNA targets in Drosophila. Genome Biol 2003, 5: R1. 10.1186\/gb-2003-5-1-r1","journal-title":"Genome Biol"},{"key":"1150_CR25","doi-asserted-by":"publisher","first-page":"787","DOI":"10.1016\/j.molcel.2004.05.027","volume":"14","author":"MW Jones-Rhoades","year":"2004","unstructured":"Jones-Rhoades MW, Bartel DP: Computational Identification of Plant MicroRNAs and Their Targets, Including a Stress-Induced miRNA. Mol Cell 2004, 14: 787\u2013799. 10.1016\/j.molcel.2004.05.027","journal-title":"Mol Cell"},{"key":"1150_CR26","doi-asserted-by":"publisher","first-page":"e363","DOI":"10.1371\/journal.pbio.0020363","volume":"2","author":"B John","year":"2004","unstructured":"John B, Enright AJ, Aravin A, Tuschl T, Sander C, Marks DS: Human MicroRNA targets. PLoS Biol 2004, 2: e363. 10.1371\/journal.pbio.0020363","journal-title":"PLoS Biol"},{"key":"1150_CR27","doi-asserted-by":"publisher","first-page":"1165","DOI":"10.1101\/gad.1184704","volume":"18","author":"M Kiriakidou","year":"2004","unstructured":"Kiriakidou M, Nelson PT, Kouranov A, Fitziev P, Bouyioukos C, Mourelatos Z, Hatzigeorgiou A: A combined computational-experimental approach predicts human microRNA targets. Genes Dev 2004, 18: 1165\u20131178. 10.1101\/gad.1184704","journal-title":"Genes Dev"},{"key":"1150_CR28","doi-asserted-by":"publisher","first-page":"529","DOI":"10.1016\/j.ydbio.2003.12.003","volume":"267","author":"N Rajewsky","year":"2004","unstructured":"Rajewsky N, Socci ND: Computational identification of microRNA targets. Dev Biol 2004, 267: 529\u2013535. 10.1016\/j.ydbio.2003.12.003","journal-title":"Dev Biol"},{"key":"1150_CR29","doi-asserted-by":"publisher","first-page":"1507","DOI":"10.1261\/rna.5248604","volume":"10","author":"M Rehmsmeier","year":"2004","unstructured":"Rehmsmeier M, Steffen P, Hochsmann M, Giegerich R: Fast and effective prediction of microRNA\/target duplexes. Rna 2004, 10: 1507\u20131517. 10.1261\/rna.5248604","journal-title":"Rna"},{"key":"1150_CR30","doi-asserted-by":"publisher","first-page":"1902","DOI":"10.1101\/gr.2722704","volume":"14","author":"A Rodriguez","year":"2004","unstructured":"Rodriguez A, Griffiths-Jones S, Ashurst JL, Bradley A: Identification of mammalian microRNA host genes and transcription units. Genome Res 2004, 14: 1902\u20131910. 10.1101\/gr.2722704","journal-title":"Genome Res"},{"key":"1150_CR31","doi-asserted-by":"publisher","first-page":"495","DOI":"10.1038\/ng1536","volume":"37","author":"A Krek","year":"2005","unstructured":"Krek A, Grun D, Poy MN, Wolf R, Rosenberg L, Epstein EJ, MacMenamin P, da Piedade I, Gunsalus KC, Stoffel M, Rajewsky N: Combinatorial microRNA target predictions. Nat Genet 2005, 37: 495\u2013500. 10.1038\/ng1536","journal-title":"Nat Genet"},{"key":"1150_CR32","doi-asserted-by":"publisher","DOI":"10.1145\/130385.130401","volume-title":"A training algorithm for optimal margin classifiers: ; Pittsburgh.","author":"BE Boser","year":"1992","unstructured":"Boser BE, Guyon IM, Vapnik V: A training algorithm for optimal margin classifiers: ; Pittsburgh. ; 1992."},{"key":"1150_CR33","volume-title":"Statistical Learning Theory","author":"V Vapnik","year":"1998","unstructured":"Vapnik V: Statistical Learning Theory., Wiley; 1998."},{"key":"1150_CR34","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1080\/10556789208805504","volume":"1","author":"KP Bennett","year":"1992","unstructured":"Bennett KP, Mangasarian OL: Robust Linear Programming Discrimination Of Two Linearly Inseparable Sets. Optimization Methods adn Software 1992, 1: 23\u201324.","journal-title":"Optimization Methods adn Software"},{"key":"1150_CR35","first-page":"169","volume-title":"Advances in Kernel Methods: Support Vector Machines","author":"T Joachims","year":"1998","unstructured":"Joachims T: Making large-scale support vector machine learning practical. In Advances in Kernel Methods: Support Vector Machines. Cambridge, MA., MIT Press; 1998:169\u2013184."},{"key":"1150_CR36","doi-asserted-by":"publisher","first-page":"3429","DOI":"10.1093\/nar\/gkg599","volume":"31","author":"IL Hofacker","year":"2003","unstructured":"Hofacker IL: Vienna RNA secondary structure server. Nucleic Acids Res 2003, 31: 3429\u20133431. 10.1093\/nar\/gkg599","journal-title":"Nucleic Acids Res"},{"key":"1150_CR37","doi-asserted-by":"publisher","first-page":"504","DOI":"10.1101\/gad.1184404","volume":"18","author":"JG Doench","year":"2004","unstructured":"Doench JG, Sharp PA: Specificity of microRNA target selection in translational repression. Genes Dev 2004, 18: 504\u2013511. 10.1101\/gad.1184404","journal-title":"Genes Dev"},{"key":"1150_CR38","doi-asserted-by":"publisher","first-page":"1813","DOI":"10.1261\/rna.7119904","volume":"10","author":"T Babak","year":"2004","unstructured":"Babak T, Zhang W, Morris Q, Blencowe BJ, Hughes TR: Probing microRNAs with microarrays: tissue specificity and functional inference. Rna 2004, 10: 1813\u20131819. 10.1261\/rna.7119904","journal-title":"Rna"},{"key":"1150_CR39","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1023\/A:1023993325417","volume":"52","author":"BT Zhang","year":"2003","unstructured":"Zhang BT, Yang J, Chi SW: Self-Organizing Latent Lattice Models for Temporal Gene Expression Profiling. Machine Learn 2003, 52: 67\u201389. 10.1023\/A:1023993325417","journal-title":"Machine Learn"},{"key":"1150_CR40","doi-asserted-by":"publisher","first-page":"769","DOI":"10.1038\/nature03315","volume":"433","author":"LP Lim","year":"2005","unstructured":"Lim LP, Lau NC, Garrett-Engele P, Grimson A, Schelter JM, Castle J, Bartel DP, Linsley PS, Johnson JM: Microarray analysis shows that some microRNAs downregulate large numbers of target mRNAs. Nature 2005, 433: 769\u2013773. 10.1038\/nature03315","journal-title":"Nature"},{"key":"1150_CR41","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1261\/rna.7240905","volume":"11","author":"S Baskerville","year":"2005","unstructured":"Baskerville S, Bartel DP: Microarray profiling of microRNAs reveals frequent coexpression with neighboring miRNAs and host genes. Rna 2005, 11: 241\u2013247. 10.1261\/rna.7240905","journal-title":"Rna"},{"key":"1150_CR42","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1038\/75556","volume":"25","author":"M Ashburner","year":"2000","unstructured":"Ashburner M, Ball CA, Blake JA, Botstein D, Butler H, Cherry JM, Davis AP, Dolinski K, Dwight SS, Eppig JT, Harris MA, Hill DP, Issel-Tarver L, Kasarskis A, Lewis S, Matese JC, Richardson JE, Ringwald M, Rubin GM, Sherlock G: Gene ontology: tool for the unification of biology. The Gene Ontology Consortium. Nat Genet 2000, 25: 25\u201329. 10.1038\/75556","journal-title":"Nat Genet"},{"key":"1150_CR43","doi-asserted-by":"publisher","first-page":"ii93","DOI":"10.1093\/bioinformatics\/bti1116","volume":"21 Suppl 2","author":"S Yoon","year":"2005","unstructured":"Yoon S, De Micheli G: Prediction of regulatory modules comprising microRNAs and target genes. Bioinformatics 2005, 21 Suppl 2: ii93-ii100. 10.1093\/bioinformatics\/bti1116","journal-title":"Bioinformatics"},{"key":"1150_CR44","doi-asserted-by":"publisher","first-page":"1464","DOI":"10.1093\/bioinformatics\/bth088","volume":"20","author":"T Beissbarth","year":"2004","unstructured":"Beissbarth T, Speed TP: GOstat: find statistically overrepresented Gene Ontologies within a group of genes. Bioinformatics 2004, 20: 1464\u20131465. 10.1093\/bioinformatics\/bth088","journal-title":"Bioinformatics"},{"key":"1150_CR45","doi-asserted-by":"publisher","first-page":"9440","DOI":"10.1073\/pnas.1530509100","volume":"100","author":"JD Storey","year":"2003","unstructured":"Storey JD, Tibshirani R: Statistical significance for genomewide studies. Proc Natl Acad Sci U S A 2003, 100: 9440\u20139445. 10.1073\/pnas.1530509100","journal-title":"Proc Natl Acad Sci U S A"},{"key":"1150_CR46","volume-title":"Rna","author":"O Saetrom","year":"2005","unstructured":"Saetrom O, Snove OJ, Saetrom P: Weighted sequence motifs as an improved seeding step in microRNA target prediction algorithms. Rna 2005."},{"key":"1150_CR47","volume-title":"Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations","author":"IH Witten","year":"1999","unstructured":"Witten IH, Frank E: Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations. Edited by: Gray J. San Francisco, Morgan Kaufmann; 1999."},{"key":"1150_CR48","doi-asserted-by":"publisher","first-page":"1067","DOI":"10.1101\/gad.1291905","volume":"19","author":"EC Lai","year":"2005","unstructured":"Lai EC, Tam B, Rubin GM: Pervasive regulation of Drosophila Notch target genes by GY-box-, Brd-box-, and K-box-class microRNAs. Genes Dev 2005, 19: 1067\u20131080. 10.1101\/gad.1291905","journal-title":"Genes Dev"},{"key":"1150_CR49","doi-asserted-by":"publisher","first-page":"338","DOI":"10.1038\/nature03441","volume":"434","author":"X Xie","year":"2005","unstructured":"Xie X, Lu J, Kulbokas EJ, Golub TR, Mootha V, Lindblad-Toh K, Lander ES, Kellis M: Systematic discovery of regulatory motifs in human promoters and 3' UTRs by comparison of several mammals. Nature 2005, 434: 338\u2013345. 10.1038\/nature03441","journal-title":"Nature"},{"key":"1150_CR50","doi-asserted-by":"publisher","first-page":"845","DOI":"10.1038\/nature02255","volume":"426","author":"RJ Johnston","year":"2003","unstructured":"Johnston RJ, Hobert O: A microRNA controlling left\/right neuronal asymmetry in Caenorhabditis elegans. Nature 2003, 426: 845\u2013849. 10.1038\/nature02255","journal-title":"Nature"},{"key":"1150_CR51","doi-asserted-by":"publisher","first-page":"387","DOI":"10.1261\/rna.5181104","volume":"10","author":"PT Nelson","year":"2004","unstructured":"Nelson PT, Hatzigeorgiou AG, Mourelatos Z: miRNP:mRNA association in polyribosomes in a human neuronal cell line. Rna 2004, 10: 387\u2013394. 10.1261\/rna.5181104","journal-title":"Rna"},{"key":"1150_CR52","doi-asserted-by":"publisher","first-page":"594","DOI":"10.1126\/science.1097434","volume":"304","author":"S Yekta","year":"2004","unstructured":"Yekta S, Shih IH, Bartel DP: MicroRNA-directed cleavage of HOXB8 mRNA. Science 2004, 304: 594\u2013596. 10.1126\/science.1097434","journal-title":"Science"}],"container-title":["BMC Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/1471-2105-7-411.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,9,1]],"date-time":"2021-09-01T11:04:51Z","timestamp":1630494291000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcbioinformatics.biomedcentral.com\/articles\/10.1186\/1471-2105-7-411"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2006,9,18]]},"references-count":52,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2006,12]]}},"alternative-id":["1150"],"URL":"https:\/\/doi.org\/10.1186\/1471-2105-7-411","relation":{},"ISSN":["1471-2105"],"issn-type":[{"value":"1471-2105","type":"electronic"}],"subject":[],"published":{"date-parts":[[2006,9,18]]},"assertion":[{"value":"21 December 2005","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 September 2006","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 September 2006","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}],"article-number":"411"}}