Prediction of RNA-binding proteins by voting systems

Journal of Biomedicine and Biotechnology

Volumn 2011, Issue , 2011, Pages

  Lu, W C ^a   Peng, C R ^a   Liu, L ^a   Niu, B ^a   Lv, Y L ^b   Li, M J ^a   Yuan, Y L ^c   Zhu, Y B ^a   Cai, Y D ^a  

^a SHANGHAI UNIVERSITY   (China)

^b UNIVERSITY OF SHANGHAI FOR SCIENCE AND TECHNOLOGY   (China)

^c WUXI APPTEC   (China)

Author keywords

[No Author keywords available]

Indexed keywords

RNA BINDING PROTEIN; RNA;

ACCURACY; ARTICLE; CLASSIFIER; CORRELATION COEFFICIENT; INFORMATION PROCESSING; INFORMATION SYSTEM; LEARNING ALGORITHM; MACHINE LEARNING; PREDICTION; PROTEIN DATABASE; SIMPLE MAJORITY VOTING SYSTEM; ALGORITHM; ARTIFICIAL INTELLIGENCE; BIOLOGY; CHEMISTRY; GENETICS; METABOLISM; METHODOLOGY; MOLECULAR GENETICS; SEQUENCE ANALYSIS;

GALLIRALLUS AUSTRALIS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTATIONAL BIOLOGY; DATABASES, PROTEIN; MOLECULAR SEQUENCE ANNOTATION; RNA; RNA-BINDING PROTEINS; SEQUENCE ANALYSIS, PROTEIN;

EID: 80053523101     PISSN: 11107243     EISSN: 11107251     Source Type: Journal    
DOI: 10.1155/2011/506205     Document Type: Article

References (27)

1. Jurica M. S., Moore M. J., Pre-mRNA splicing: awash in a sea of proteins Molecular Cell 2003 12 1 5 14 (Pubitemid 36945033)
2. Moore M. J., From birth to death: the complex lives of eukaryotic mRNAs Science 2005 309 5740 1514 1518 (Pubitemid 41266467)
3. Noller H. F., RNA structure: reading the ribosome Science 2005 309 5740 1508 1514 (Pubitemid 41266466)
4. Freed E. O., Mouland A. J., The cell biology of HIV-1 and other retroviruses Retrovirology 2006 3 77 87
5. Cai Y. D., Lu L., Predicting N-terminal acetylation based on feature selection method Biochemical and Biophysical Research Communications 2008 372 4 862 865
6. Cai Y. D., Qian Z. L., Lu L., Feng K. Y., Meng X., Niu B., Zhao G. D., Lu W. C., Prediction of compounds' biological function (metabolic pathways) based on functional group composition Molecular Diversity 2008 12 2 131 137
7. Li W. J., Lin K., Fen K. Y., Cai Y., Prediction of protein structural classes using hybrid properties Molecular Diversity 2008 12 3-4 171 179
8. Xu X. C., Yu D., Fang W., Cheng Y., Qian Z., Lu W., Cai Y., Feng K., Prediction of peptidase category based on functional domain composition Journal of Proteome Research 2008 7 10 4521 4524
9. Niu B., Jin Y., Lu L., Fen K., Gu L., He Z., Lu W., Li Y., Cai Y., Prediction of interaction between small molecule and enzyme using AdaBoost Molecular Diversity 2009 13 3 313 320
10. Cai Y. D., Lin S. L., Support vector machines for predicting rRNA-, RNA-, and DNA-binding proteins from amino acid sequence Biochimica et Biophysica ActaProteins and Proteomics 2003 1648 1-2 127 133 (Pubitemid 38234614)
11. Han L. Y., Cai C. Z., Lo S. L., Chung M. C. M., Chen Y. Z., Prediction of RNA-binding proteins from primary sequence by a support vector machine approach RNA 2004 10 3 355 368 (Pubitemid 38240996)
12. Kim O. T. P., Yura K., Go N., Amino acid residue doublet propensity in the protein-RNA interface and its application to RNA interface prediction Nucleic Acids Research 2006 34 22 6450 6460 (Pubitemid 46017942)
13. Wang L., Brown S. J., BindN: a web-based tool for efficient prediction of DNA and RNA binding sites in amino acid sequences Nucleic Acids Research 2006 34 W243 W248
14. Yu X. J., Cao J. P., Cai Y. D., Shi T., Li Y., Predicting rRNA-, RNA-, and DNA-binding proteins from primary structure with support vector machines Journal of Theoretical Biology 2006 240 2 175 184
15. Tong J., Jiang P., Lu Z. H., RISP: a web-based server for prediction of RNA-binding sites in proteins Computer Methods and Programs in Biomedicine 2008 90 2 148 153
16. Wang Y., Xue Z., Shen G., Xu J., PRINTR: prediction of RNA binding sites in proteins using SVM and profiles Amino Acids 2008 35 2 295 302
17. Jeong E. N., Miyano S., A weighted profile based method for protein-RNA interacting residue prediction Transactions on Computational Systems Biology IV 2006 3939 123 139 (Pubitemid 350278762)
18. Terribilini M., Lee J. H., Yan C. H., Jernigan R. L., Honavar V., Dobbs D., Prediction of RNA binding sites in proteins from amino acid sequence RNA 2006 12 8 1450 1462 (Pubitemid 44141524)
19. Terribilini M., Lee J. H., Yan C. H., Jernigan R. L., Carpenter S., Honavar V., Dobbs D., Identifying interaction sites in "recalcitrant" proteins: predicted protein and RNA binding sites in rev proteins of HIV-1 and EIAV agree with experimental data Pacific Symposium on Biocomputing 2006 415 426
20. Rahman A. F., Alam H., Fairhurst M. C., Multiple classifier combination for character recognition: revisiting the majority voting system and its variations Document Analysis System V, Proceedings 2002 2423 167 178
21. Chen L., Lu L., Feng K., Li W., Song J., Zheng L., Yuan Y., Zeng Z., Feng K., Lu W., Cai Y., Multiple classifier integration for the prediction of protein structural classes Journal of Computational Chemistry 2009 30 14 2248 2254
22. Peng H., Long F., Ding C., Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy IEEE Transactions on Pattern Analysis and Machine Intelligence 2005 27 8 1226 1238 (Pubitemid 41245053)
23. Liu L., Cai Y. D., Lu W. C., Feng K., Peng C., Niu B., Prediction of protein-protein interactions based on PseAA composition and hybrid feature selection Biochemical and Biophysical Research Communications 2009 380 2 318 322
24. Niu B., Lu L., Liu L., Gu T. H., Feng K. Y., Lu W. C., Cai Y. D., HIV-1 protease cleavage site prediction based on amino acid property Journal of Computational Chemistry 2009 30 1 33 39
25. Li W. Z., Jaroszewski L., Godzik A., Clustering of highly homologous sequences to reduce the size of large protein databases Bioinformatics 2001 17 3 282 283 (Pubitemid 32288218)
26. Wang G., Dunbrack R. L., PISCES: a protein sequence culling server Bioinformatics 2003 19 12 1589 1591 (Pubitemid 37038881)
27. Ian H., Witten E. F., Data Mining: practical Machine Learning Tools and Techniques 2005 2nd San Francisco, Calif, USA Morgan Kaufmann