Predicting rRNA-, RNA-, and DNA-binding proteins from primary structure with support vector machines
- 7 November 2005
- journal article
- Published by Elsevier
- Vol. 240 (2) , 175-184
- https://doi.org/10.1016/j.jtbi.2005.09.018
Abstract
No abstract availableKeywords
This publication has 51 references indexed in Scilit:
- Moment-based Prediction of DNA-binding ProteinsJournal of Molecular Biology, 2004
- Application of SVM to predict membrane protein typesJournal of Theoretical Biology, 2004
- The SWISS-PROT protein knowledgebase and its supplement TrEMBL in 2003Nucleic Acids Research, 2003
- Protein–DNA Interactions: Amino Acid Conservation and the Effects of Mutations on Binding SpecificityJournal of Molecular Biology, 2002
- Prediction of Human Protein Function from Post-translational Modifications and Localization FeaturesJournal of Molecular Biology, 2002
- An efficient algorithm for large-scale detection of protein familiesNucleic Acids Research, 2002
- Prediction of protein cellular attributes using pseudo‐amino acid compositionProteins-Structure Function and Bioinformatics, 2001
- Detecting Protein Function and Protein-Protein Interactions from Genome SequencesScience, 1999
- Support-vector networksMachine Learning, 1995
- THE CLASSIFICATION AND ORIGINS OF PROTEIN FOLDING PATTERNSAnnual Review of Biochemistry, 1990