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| Content Provider | World Health Organization (WHO)-Global Index Medicus |
|---|---|
| Author | Bu, Dongbo Xu, Jinbo Li, Ming Li, Shuai Cheng |
| Description | Country affiliation: Canada Author Affiliation: Li SC ( David R. Cheriton School of Computer Science, University of Waterloo, Waterloo, Ontario N2L3G1, Canada.) |
| 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 A 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. |
| ISSN | 09618368 |
| e-ISSN | 1469896X |
| DOI | 10.1110/ps.036442.108 |
| Journal | Protein Science |
| Issue Number | 11 |
| Volume Number | 17 |
| Language | English |
| Publisher | Wiley-Blackwell (on behalf of The Protein Society) |
| Publisher Date | 2008-11-01 |
| Publisher Place | United States |
| Access Restriction | Open |
| Subject Keyword | Computational Biology Protein Conformation Sequence Analysis, Protein Algorithms Markov Chains Models, Chemical Models, Molecular Protein Folding Protein Structure, Secondary Statistics & Numerical Data Research Support, Non-u.s. Gov't Discipline Biochemistry |
| Content Type | Text |
| Resource Type | Article |
| Subject | Medicine Molecular Biology Biochemistry |
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