Boosting classifier for predicting protein domain structural class
- 27 June 2005
- journal article
- research article
- Published by Elsevier in Biochemical and Biophysical Research Communications
- Vol. 334 (1) , 213-217
- https://doi.org/10.1016/j.bbrc.2005.06.075
Abstract
No abstract availableKeywords
This publication has 49 references indexed in Scilit:
- SLLE for predicting membrane protein typesJournal of Theoretical Biology, 2005
- Using complexity measure factor to predict protein subcellular locationAmino Acids, 2004
- Using GO-PseAA predictor to predict enzyme sub-classBiochemical and Biophysical Research Communications, 2004
- Identify catalytic triads of serine hydrolases by support vector machinesJournal of Theoretical Biology, 2004
- Insights from modelling the 3D structure of the extracellular domain of α7 nicotinic acetylcholine receptorBiochemical and Biophysical Research Communications, 2004
- Predicting protein quaternary structure by pseudo amino acid compositionProteins-Structure Function and Bioinformatics, 2003
- A Decision-Theoretic Generalization of On-Line Learning and an Application to BoostingJournal of Computer and System Sciences, 1997
- Protein folding classes: a geometric interpretation of the amino acid composition of globular proteinsProtein Engineering, Design and Selection, 1994
- A Joint Prediction of the Folding Types of 1490 Human Proteins from their Genetic CodonsJournal of Theoretical Biology, 1993
- Why do globular proteins fit the limited set of foldin patterns?Progress in Biophysics and Molecular Biology, 1987