Classification of Nuclear Receptors Based on Amino Acid Composition and Dipeptide Composition
Open Access
- 1 May 2004
- journal article
- Published by Elsevier in Journal of Biological Chemistry
- Vol. 279 (22), 23262-23266
- https://doi.org/10.1074/jbc.m401932200
Abstract
No abstract availableKeywords
This publication has 24 references indexed in Scilit:
- Application of SVM to predict membrane protein typesJournal of Theoretical Biology, 2004
- SVM based method for predicting HLA-DRB1*0401 binding peptides in an antigen sequenceBioinformatics, 2004
- A novel approach to the recognition of protein architecture from sequence using fourier analysis and neural networksProteins-Structure Function and Bioinformatics, 2002
- Using Functional Domain Composition and Support Vector Machines for Prediction of Protein Subcellular LocationJournal of Biological Chemistry, 2002
- A novel method of protein secondary structure prediction with high segment overlap measure: support vector machine approach1 1Edited by B. HollandJournal of Molecular Biology, 2001
- Prediction of protein cellular attributes using pseudo‐amino acid compositionProteins-Structure Function and Bioinformatics, 2001
- Predicting Subcellular Localization of Proteins Based on their N-terminal Amino Acid SequenceJournal of Molecular Biology, 2000
- Prediction of Protein Secondary Structure at Better than 70% AccuracyJournal of Molecular Biology, 1993
- Basic Local Alignment Search ToolJournal of Molecular Biology, 1990
- Basic local alignment search toolJournal of Molecular Biology, 1990