Fragment-HMM : A new approach to protein structure prediction
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Detail(s)
| Original language | English |
|---|---|
| Pages (from-to) | 1925-1934 |
| Journal / Publication | Protein Science |
| Volume | 17 |
| Issue number | 11 |
| Publication status | Published - Nov 2008 |
| Externally published | Yes |
Link(s)
Abstract
We designed a simple position-specific hidden Markov model to predict protein structure. Our new framework naturally repeats itself to converge to a final target, conglomerating fragment assembly, clustering, target selection, refinement, and consensus, all in one process. Our initial implementation of this theory converges to within 6 Å of the native structures for 100% of decoys on all six standard benchmark proteins used in ROSETTA (discussed by Simons and colleagues in a recent paper), which achieved only 14%-94% for the same data. The qualities of the best decoys and the final decoys our theory converges to are also notably better. Published by Cold Spring Harbor Laboratory Press. Copyright © 2008 The Protein Society.
Research Area(s)
- Fragment assembly, Hidden Markov model, Protein structure prediction
Citation Format(s)
Fragment-HMM: A new approach to protein structure prediction. / Shuai, Cheng Li; Bu, Dongbo; Xu, Jinbo et al.
In: Protein Science, Vol. 17, No. 11, 11.2008, p. 1925-1934.
In: Protein Science, Vol. 17, No. 11, 11.2008, p. 1925-1934.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
