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» A graphical model for protein secondary structure prediction
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BMCBI
2004
108views more  BMCBI 2004»
13 years 9 months ago
Enhanced protein domain discovery using taxonomy
Background: It is well known that different species have different protein domain repertoires, and indeed that some protein domains are kingdom specific. This information has not ...
Lachlan James M. Coin, Alex Bateman, Richard Durbi...
BMCBI
2006
118views more  BMCBI 2006»
13 years 9 months ago
Predicting the effect of missense mutations on protein function: analysis with Bayesian networks
Background: A number of methods that use both protein structural and evolutionary information are available to predict the functional consequences of missense mutations. However, ...
Chris J. Needham, James R. Bradford, Andrew J. Bul...
BMCBI
2011
13 years 4 months ago
A quality metric for homology modeling: the H-factor
Background: The analysis of protein structures provides fundamental insight into most biochemical functions and consequently into the cause and possible treatment of diseases. As ...
Eric di Luccio, Patrice Koehl
BMCBI
2008
116views more  BMCBI 2008»
13 years 9 months ago
IgTM: An algorithm to predict transmembrane domains and topology in proteins
Background: Due to their role of receptors or transporters, membrane proteins play a key role in many important biological functions. In our work we used Grammatical Inference (GI...
Piedachu Peris, Damián López, Marcel...
CVPR
2011
IEEE
13 years 5 months ago
Learning Message-Passing Inference Machines for Structured Prediction
Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex dependencies among output labels. While graphical models prov...
Stephane Ross, Daniel Munoz, J. Andrew Bagnell