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» Protein secondary structure prediction using neural networks
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BIBM
2008
IEEE
172views Bioinformatics» more  BIBM 2008»
14 years 3 months ago
Boosting Methods for Protein Fold Recognition: An Empirical Comparison
Protein fold recognition is the prediction of protein’s tertiary structure (Fold) given the protein’s sequence without relying on sequence similarity. Using machine learning t...
Yazhene Krishnaraj, Chandan K. Reddy
BMCBI
2004
138views more  BMCBI 2004»
13 years 9 months ago
Constraint Logic Programming approach to protein structure prediction
Background: The protein structure prediction problem is one of the most challenging problems in biological sciences. Many approaches have been proposed using database information ...
Alessandro Dal Palù, Agostino Dovier, Feder...
BMCBI
2010
145views more  BMCBI 2010»
13 years 4 months ago
Directionality in protein fold prediction
Background: Ever since the ground-breaking work of Anfinsen et al. in which a denatured protein was found to refold to its native state, it has been frequently stated by the prote...
Jonathan J. Ellis, Fabien P. E. Huard, Charlotte M...
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...
BMCBI
2011
13 years 4 months ago
DoBo: Protein domain boundary prediction by integrating evolutionary signals and machine learning
Background: Accurate identification of protein domain boundaries is useful for protein structure determination and prediction. However, predicting protein domain boundaries from a...
Jesse Eickholt, Xin Deng, Jianlin Cheng