Prediction of protein subcellular location using hydrophobic patterns of amino acid sequence
- 1 October 2006
- journal article
- Published by Elsevier in Computational Biology and Chemistry
- Vol. 30 (5) , 367-371
- https://doi.org/10.1016/j.compbiolchem.2006.08.003
Abstract
No abstract availableKeywords
This publication has 25 references indexed in Scilit:
- Using complexity measure factor to predict protein subcellular locationAmino Acids, 2004
- Weighted-support vector machines for predicting membrane protein types based on pseudo-amino acid compositionProtein Engineering, Design and Selection, 2004
- Subcellular location prediction of apoptosis proteinsProteins-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
- Relation between amino acid composition and cellular location of proteinsJournal of Molecular Biology, 1997
- Prediction of Protein Structural ClassesCritical Reviews in Biochemistry and Molecular Biology, 1995
- Hydrophobicity of Amino Acid Residues in Globular ProteinsScience, 1985
- Algorithms for prediction of α-helical and β-structural regions in globular proteinsJournal of Molecular Biology, 1974