The digital language of amino acids
Author:
Publisher
Springer Science and Business Media LLC
Subject
Organic Chemistry,Clinical Biochemistry,Biochemistry
Link
http://link.springer.com/content/pdf/10.1007/s00726-006-0476-x.pdf
Reference35 articles.
1. A novel approach to predicting protein structural classes in a (20-1)-D amino acid composition space
2. Prediction of Protein Structural Classes and Subcellular Locations
3. Prediction of Protein Subcellular Locations by Incorporating Quasi-Sequence-Order Effect
4. Prediction of protein cellular attributes using pseudo-amino acid composition
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3. Prediction of protein structure class by coupling improved genetic algorithm and support vector machine;Amino Acids;2008-04-22
4. Differences in amino acids composition and coupling patterns between mesophilic and thermophilic proteins;Amino Acids;2007-08-21
5. Using pseudo amino acid composition to predict transmembrane regions in protein: cellular automata and Lempel-Ziv complexity;Amino Acids;2007-05-23
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