| Autor: |
Danziger SA; University of California, Irvine, CA 92697-3435, USA. sdanzige@uci.edu, Swamidass SJ, Zeng J, Dearth LR, Lu Q, Chen JH, Cheng J, Hoang VP, Saigo H, Luo R, Baldi P, Brachmann RK, Lathrop RH |
| Jazyk: |
angličtina |
| Zdroj: |
IEEE/ACM transactions on computational biology and bioinformatics [IEEE/ACM Trans Comput Biol Bioinform] 2006 Apr-Jun; Vol. 3 (2), pp. 114-25. |
| DOI: |
10.1109/TCBB.2006.22 |
| Abstrakt: |
Many biomedical problems relate to mutant functional properties across a sequence space of interest, e.g., flu, cancer, and HIV. Detailed knowledge of mutant properties and function improves medical treatment and prevention. A functional census of p53 cancer rescue mutants would aid the search for cancer treatments from p53 mutant rescue. We devised a general methodology for conducting a functional census of a mutation sequence space by choosing informative mutants early. The methodology was tested in a double-blind predictive test on the functional rescue property of 71 novel putative p53 cancer rescue mutants iteratively predicted in sets of three (24 iterations). The first double-blind 15-point moving accuracy was 47 percent and the last was 86 percent; r = 0.01 before an epiphanic 16th iteration and r = 0.92 afterward. Useful mutants were chosen early (overall r = 0.80). Code and data are freely available (http://www.igb.uci.edu/research/research.html, corresponding authors: R.H.L. for computation and R.K.B. for biology). |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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