A conditional neural fields model for protein threading

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which achieves much more accurate sequence–template alignment by employing a probabilistic graphical model called a Conditional. Neural Field (CNF) ...
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Vol. 28 ISMB 2012, pages i59–i66 doi:10.1093/bioinformatics/bts213

BIOINFORMATICS

A conditional neural fields model for protein threading Jianzhu Ma† , Jian Peng† , Sheng Wang and Jinbo Xu∗ Toyota Technological Institute at Chicago IL 60637, USA ABSTRACT Motivation: Alignment errors are still the main bottleneck for current template-based protein modeling (TM) methods, including protein threading and homology modeling, especially when the sequence identity between two proteins under consideration is low (

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