A neural network based approach for protein structural class prediction
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[1] C. DeLisi,et al. Prediction of protein structural class from the amino acid sequence , 1986, Biopolymers.
[2] Chris H. Q. Ding,et al. Multi-class protein fold recognition using support vector machines and neural networks , 2001, Bioinform..
[3] K. Chou,et al. An optimization approach to predicting protein structural class from amino acid composition , 1992, Protein science : a publication of the Protein Society.
[4] G Deléage,et al. An algorithm for protein secondary structure prediction based on class prediction. , 1987, Protein engineering.
[5] K. Chou. A novel approach to predicting protein structural classes in a (20–1)‐D amino acid composition space , 1995, Proteins.
[6] Lindsay I. Smith,et al. A tutorial on Principal Components Analysis , 2002 .
[7] K. Chou,et al. A key driving force in determination of protein structural classes. , 1999, Biochemical and biophysical research communications.
[8] C. Chothia,et al. Structural patterns in globular proteins , 1976, Nature.
[9] Klaus Schulten,et al. Self-organizing maps: ordering, convergence properties and energy functions , 1992, Biological Cybernetics.
[10] T. Kikuchi,et al. Discrimination of folding types of globular proteins based on average distance maps constructed from their sequences , 1993, Journal of protein chemistry.
[11] J. Richardson,et al. The anatomy and taxonomy of protein structure. , 1981, Advances in protein chemistry.
[12] J M Thornton,et al. Analysis of domain structural class using an automated class assignment protocol. , 1996, Journal of molecular biology.
[13] Y Cai,et al. Prediction of protein structural classes by neural network. , 2000, Biochimie.
[14] Jiang Wang,et al. Prediction of protein structural class with Rough Sets , 2006, BMC Bioinformatics.
[15] O. Ptitsyn,et al. Similarities of protein topologies: evolutionary divergence, functional convergence or principles of folding? , 1980, Quarterly Reviews of Biophysics.
[16] K. Chou,et al. Predicting protein structural classes from amino acid composition: application of fuzzy clustering. , 1995, Protein engineering.
[17] Z Zhang,et al. Prediction of the Secondary Structure Contents of Globular Proteins Based on Three Structural Classes , 1998, Journal of protein chemistry.
[18] J M Chandonia,et al. Neural networks for secondary structure and structural class predictions , 1995, Protein science : a publication of the Protein Society.
[19] Yu-Dong Cai,et al. Support Vector Machines for predicting protein structural class , 2001, BMC Bioinformatics.
[20] R. Jernigan,et al. Understanding the recognition of protein structural classes by amino acid composition , 1997, Proteins.
[21] C. Anfinsen. Principles that govern the folding of protein chains. , 1973, Science.
[22] K. Nishikawa,et al. Classification of proteins into groups based on amino acid composition and other characters. I. Angular distribution. , 1983, Journal of biochemistry.
[23] P. Y. Chou,et al. Prediction of Protein Structural Classes from Amino Acid Compositions , 1989 .
[24] J. Richardson,et al. β-Sheet topology and the relatedness of proteins , 1977, Nature.
[25] Teuvo Kohonen,et al. The self-organizing map , 1990 .
[26] D. Connelly,et al. Cross‐validation of protein structural class prediction using statistical clustering and neural networks , 1993, Protein science : a publication of the Protein Society.
[27] K. Nishikawa,et al. Classification of proteins into groups based on amino acid composition and other characters. II. Grouping into four types. , 1983, Journal of biochemistry.
[28] Chris Sander,et al. Protein folds and families: sequence and structure alignments , 1999, Nucleic Acids Res..