Inferential backbone assignment for sparse data

Journal of Biomolecular NMR

Volumn 35, Issue 3, 2006, Pages 187-208

  Vitek, Olga ^a   Bailey Kellogg, Chris ^b   Craig, Bruce ^c   Vitek, Jan ^d  

^a INSTITUTE FOR SYSTEMS BIOLOGY   (United States)

^b Dartmouth College   (United States)

^c PURDUE UNIVERSITY   (United States)

^d Purdue University   (United States)

Author keywords

Bayesian modeling; NMR assignment; Sparse data; Statistical inference; Stochastic search algorithm; Structural genomics

Indexed keywords

CARBON; PROTEIN;

ALGORITHM; AMINO ACID SEQUENCE; ARTICLE; BAYES THEOREM; CARBON NUCLEAR MAGNETIC RESONANCE; COMPUTER PROGRAM; INFERENTIAL STATISTICS; MATHEMATICAL MODEL; PRIORITY JOURNAL; PROBABILITY; PROTEIN ANALYSIS; PROTEIN STRUCTURE; RESIDUE ANALYSIS; STATISTICAL ANALYSIS; STATISTICS; STRUCTURAL PROTEOMICS;

ALGORITHMS; BAYES THEOREM; COMPUTER SIMULATION; MAGNETIC RESONANCE SPECTROSCOPY; MODELS, CHEMICAL; MODELS, STATISTICAL; PROTEINS; SEQUENCE ANALYSIS, PROTEIN; STOCHASTIC PROCESSES;

EID: 33746636070     PISSN: 09252738     EISSN: 15735001     Source Type: Journal    
DOI: 10.1007/s10858-006-9027-8     Document Type: Article

References (30)

1. Andrec M., Levy R. (2002) J. Biomol. NMR 23:263-270
2. Atreya H.S., Sahu S.C., Chary K.V.R., Govil G. (2000) J. Biomol. NMR 17:125-136
3. Bartels C., Güntert P., Billeter M., Wüthrich K. (1997) J. Comp. Chem. 18:139-149
4. Buchler N.E.G., Zuiderweg E.P.R., Wang H., Goldstein R.A. (1997) J. Magn. Res. 125:34-42
5. Burnham, K.P. and Anderson, D. (2002) Model Selection and Multi-Model Inference, 2nd edn., Springer
6. Coggins B.E., Zhou P. (2003) J. Biomol. NMR 26:93-111
7. Eghbalnia R.H., Bahrami A., Wang L., Assadi A., Markley J.L. (2005) J. Biomol. NMR 32:219-233
8. Gelman, A., Carlin, J.B., Stern, H.S. and Rubin, D.B. (1995) Bayesian Data Analysis, Chapman and Hall
9. Hoeting J.A., Madigan D., Raftery A.E., Volinsky C.T (1999) Stat. Sci. 14:382-417
10. Hitchens T.K., Lukin J.A., Zhan Y., McCallum S.A., Rule G.S. (2003) J. Biomol. NMR 25:1-9
11. Hoos H., Stützle T (2005) Stochastic Local Search: Foundations and Applications. Elsevier, CA
12. Kass R.E., Raftery A.E. (1995) J. Am. Stat. Assoc. 90:773-795
13. Jung J.-S., Zweckstetter M. (2004) J. Biomol. NMR 30:11-24
14. Lukin J.A., Gove A.P., Talukdar S.N., Ho C. (1997) J. Biomol. NMR 9:151-166
15. Ma L., Jones C.T., Groesch T.D., Kuhn R.J., Post C.B. (2004) Proc. Natl. Acad. Sci. 101:3414-3419
16. Marin A., Malliavin T., Nicholas P., Delsuc M.-A. (2004) J. Biomol. NMR 30:47-60
17. McGuffin L.J., Bryson K., Jones D.T. (2000) Bioinformatics 16:404-405
18. Moseley H.N.B., Montelione G.T. (1999) Curr. Opin. Struct. Biol. 9:635-642
19. Rieping W., Habeck M., Nilges M. (2005) Science 309:303-306
20. Seavey B.R., Farr E.A., Westler W.M., Markley J. (1991) J. Biomol. NMR 1:217-236
21. The Ubiquitin NMR Resource, University College London/Ludwig Institute for Cancer Research Joint NMR Laboratory, http://www.biochem.ucl.ac.uk/bsm/nmr/ubq/
22. Vitek, O. (2005) PhD Dissertation, Department of Statistics, Purdue University
23. Vitek O., Bailey-Kellogg C., Craig B., Kuliniewicz P., Vitek J. (2005) Bioinformatics 21(Suppl 2):iI230-ii236
24. Vitek, O., Vitek, J., Craig, B. and Bailey-Kellogg, C. (2004) Stat. Appl. Genet. Mol. Biol. 3, Article 6. Available at: http://www.bepress.com/sagmb/vol3/iss1/art6
25. Wan Y., Jardetzky O. (2002) J. Am. Chem. Soc. 124:14075-14084
26. Wan X., Tegos T., Lin G. (2004) J. Bioinform. Comp. Biol. 2:747-764
27. Wang, J., Wang, T., Zuiderweg, E. and Crippen, G. (2005) J. Bioinform. Comp. Biol., 33, 261-279
28. Wüthrich K. (2003) Angew. Chem.-Int. Edit. 42:3340-3363
29. Zhang H., Neal S., Wishart D.S. (2003) J. Biomol. NMR 25:173-195
30. Zimmerman D.E., Kulikowski C.A., Huang Y., Feng W., Tashiro M., Shimotakahara S.S., Chien C., Powers R., Montelione G.T. (1997) J. Mol. Biol. 269:592-610