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» A graphical model for protein secondary structure prediction
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BIOINFORMATICS
2010
87views more  BIOINFORMATICS 2010»
15 years 6 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
16 years 6 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
14 years 9 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
15 years 7 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»
15 years 5 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&...