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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...
CSB
2004
IEEE
115views Bioinformatics» more  CSB 2004»
13 years 11 months ago
PoPS: A Computational Tool for Modeling and Predicting Protease Specificity
Proteases play a fundamental role in the control of intra- and extracellular processes by binding and cleaving specific amino acid sequences. Identifying these targets is extremel...
Sarah E. Boyd, Maria J. García de la Banda,...
BMCBI
2006
112views more  BMCBI 2006»
13 years 7 months ago
Distill: a suite of web servers for the prediction of one-, two- and three-dimensional structural features of proteins
Background: We describe Distill, a suite of servers for the prediction of protein structural features: secondary structure; relative solvent accessibility; contact density; backbo...
Davide Baù, Alberto J. M. Martin, Catherine...
ISMB
1994
13 years 8 months ago
Predicting Location and Structure Of beta-Sheet Regions Using Stochastic Tree Grammars
We describe and demonstrate the effectiveness of a method of predicting protein secondary structures, sheet regions in particular, using a class of stochastic tree grammars as rep...
Hiroshi Mamitsuka, Naoki Abe
BMCBI
2010
72views more  BMCBI 2010»
13 years 7 months ago
Potentials 'R'Us web-server for protein energy estimations with coarse-grained knowledge-based potentials
Background: Knowledge-based potentials have been widely used in the last 20 years for fold recognition, protein structure prediction from amino acid sequence, ligand binding, prot...
Yaping Feng, Andrzej Kloczkowski, Robert L. Jernig...