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» A graphical model for protein secondary structure prediction
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BIOINFORMATICS
2010
87views more  BIOINFORMATICS 2010»
13 years 7 months ago
Improving protein secondary structure prediction using a simple k-mer model
Motivation: Existing methods for protein sequence analysis are generally firstorder and inherently assume that each position is independent. We develop a general framework for int...
Martin Madera, Ryan Calmus, Grant Thiltgen, Kevin ...
RECOMB
2009
Springer
14 years 7 months ago
Learning Models for Aligning Protein Sequences with Predicted Secondary Structure
Accurately aligning distant protein sequences is notoriously difficult. A recent approach to improving alignment accuracy is to use additional information such as predicted seconda...
Eagu Kim, Travis J. Wheeler, John D. Kececioglu
BMCBI
2011
12 years 10 months ago
Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure
Background: Protein secondary structure prediction provides insight into protein function and is a valuable preliminary step for predicting the 3D structure of a protein. Dynamic ...
Zafer Aydin, Ajit Singh, Jeff Bilmes, William Staf...
ISMB
2004
13 years 8 months ago
Predicting protein folding pathways
Keywords PRIMARY: protein structure comparison SECONDARY: protein structure prediction OTHER: protein folding pathway
Mohammed Javeed Zaki, Vinay Nadimpally, Deb Bardha...
ARTMED
2004
133views more  ARTMED 2004»
13 years 6 months ago
Bayesian network multi-classifiers for protein secondary structure prediction
Successful secondary structure predictions provide a starting point for direct tertiary structure modelling, and also can significantly improve sequence analysis and sequence-stru...
Víctor Robles, Pedro Larrañaga, Jos&...