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SIGIR
2004
ACM
14 years 29 days ago
Context sensitive vocabulary and its application in protein secondary structure prediction
Protein secondary structure prediction is an important step towards understanding the relation between protein sequence and structure. However, most current prediction methods use...
Yan Liu, Jaime G. Carbonell, Judith Klein-Seethara...
RECOMB
2009
Springer
14 years 8 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
AIIA
2005
Springer
14 years 1 months ago
BIOPACMAS: A Personalized, Adaptive, and Cooperative MultiAgent System for Predicting Protein Secondary Structure
In this paper, we illustrate an application aimed at predicting protein secondary structure. The proposed system has been devised using PACMAS, a generic architecture designed to s...
Giuliano Armano, Gianmaria Mancosu, Alessandro Orr...
BMCBI
2011
12 years 11 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...
BMCBI
2008
102views more  BMCBI 2008»
13 years 7 months ago
Combining sequence-based prediction methods and circular dichroism and infrared spectroscopic data to improve protein secondary
Background: A number of sequence-based methods exist for protein secondary structure prediction. Protein secondary structures can also be determined experimentally from circular d...
Jonathan G. Lees, Robert W. Janes