题目: Fragment-HMM: A new approach to protein structure prediction 报告人: Dongbo Bu, Institute of Computing Technology, Chinese Academy of Sciences 地点: 蒙民伟楼404室 时间: 4月19日 15:00 – 16:00 摘要:
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. 简历: Dr. Bu received his Ph. D. degree from Institute of Computing Technology, Chinese Academy of Sciences in 2001. He did research in University of Waterloo, Canada as a post-doctoral fellow from 2006 to 2008. His research interests include algorithm design and analysis, including Satisfiability problem, Information Retrieval, and Bioinformatics.
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