Discriminative learning for protein conformation sampling
نویسندگان
چکیده
منابع مشابه
Discriminative learning for protein conformation sampling.
Protein structure prediction without using templates (i.e., ab initio folding) is one of the most challenging problems in structural biology. In particular, conformation sampling poses as a major bottleneck of ab initio folding. This article presents CRFSampler, an extensible protein conformation sampler, built on a probabilistic graphical model Conditional Random Fields (CRFs). Using a discrim...
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ژورنال
عنوان ژورنال: Proteins: Structure, Function, and Bioinformatics
سال: 2008
ISSN: 0887-3585
DOI: 10.1002/prot.22057