PSSP with dynamic weighted kernel fusion based on SVM-PHGS
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[1] Lijun Wang,et al. Improved Protein Secondary Structure Prediction Using a Intelligent HSVM Method with a New Encoding Scheme , 2011 .
[2] Lukasz A. Kurgan,et al. Critical assessment of high-throughput standalone methods for secondary structure prediction , 2011, Briefings Bioinform..
[3] David A. Gough,et al. Predicting protein-protein interactions from primary structure , 2001, Bioinform..
[4] C Sander,et al. Third generation prediction of secondary structures. , 2000, Methods in molecular biology.
[5] Yücel Altunbasak,et al. Protein secondary structure prediction for a single-sequence using hidden semi-Markov models , 2006, BMC Bioinformatics.
[6] O. Mangasarian,et al. Robust linear programming discrimination of two linearly inseparable sets , 1992 .
[7] M. Sternberg,et al. Prediction of protein secondary structure and active sites using the alignment of homologous sequences. , 1987, Journal of molecular biology.
[8] T. Sejnowski,et al. Predicting the secondary structure of globular proteins using neural network models. , 1988, Journal of molecular biology.
[9] W. Kabsch,et al. Dictionary of protein secondary structure: Pattern recognition of hydrogen‐bonded and geometrical features , 1983, Biopolymers.
[10] T L Blundell,et al. The use of amino acid patterns of classified helices and strands in secondary structure prediction. , 1996, Journal of molecular biology.
[11] Marimuthu Palaniswami,et al. Protein Secondary Structure Prediction Using Support Vector Machines and a New Feature Representation , 2006, Int. J. Comput. Intell. Appl..
[12] Aleksey A. Porollo,et al. Combining prediction of secondary structure and solvent accessibility in proteins , 2005, Proteins.
[13] P. Argos,et al. Seventy‐five percent accuracy in protein secondary structure prediction , 1997, Proteins.
[14] D. Ruta,et al. An Overview of Classifier Fusion Methods , 2000 .
[15] J. Hirst,et al. Protein secondary structure prediction with dihedral angles , 2005, Proteins.
[16] G J Barton,et al. Application of multiple sequence alignment profiles to improve protein secondary structure prediction , 2000, Proteins.
[17] B. Rost,et al. Prediction of protein secondary structure at better than 70% accuracy. , 1993, Journal of molecular biology.
[18] Bingru Yang,et al. Predicting protein secondary structure using a mixed-modal SVM method in a compound pyramid model , 2011, Knowl. Based Syst..
[19] Hu Chen,et al. A novel method for protein secondary structure prediction using dual‐layer SVM and profiles , 2004, Proteins.
[20] R. King,et al. Identification and application of the concepts important for accurate and reliable protein secondary structure prediction , 1996, Protein science : a publication of the Protein Society.
[21] David S. Wishart,et al. Improving the accuracy of protein secondary structure prediction using structural alignment , 2006, BMC Bioinformatics.
[22] M Kanehisa. A multivariate analysis method for discriminating protein secondary structural segments. , 1988, Protein engineering.
[23] B. Robson,et al. Conformational properties of amino acid residues in globular proteins. , 1976, Journal of molecular biology.
[24] Anders Krogh,et al. Improving Predicition of Protein Secondary Structure Using Structured Neural Networks and Multiple Sequence Alignments , 1996, J. Comput. Biol..
[25] Christian Cole,et al. The Jpred 3 secondary structure prediction server , 2008, Nucleic Acids Res..
[26] Giovanni Soda,et al. Exploiting the past and the future in protein secondary structure prediction , 1999, Bioinform..
[27] J M Chandonia,et al. Neural networks for secondary structure and structural class predictions , 1995, Protein science : a publication of the Protein Society.
[28] Chih-Jen Lin,et al. A comparison of methods for multiclass support vector machines , 2002, IEEE Trans. Neural Networks.
[29] Jean-François Gibrat,et al. Choosing the optimal hidden Markov model for secondary-structure prediction , 2005, IEEE Intelligent Systems.
[30] S. Wodak,et al. Prediction of protein backbone conformation based on seven structure assignments. Influence of local interactions. , 1991, Journal of molecular biology.
[31] George Karypis,et al. YASSPP: Better kernels and coding schemes lead to improvements in protein secondary structure prediction , 2006, Proteins.
[32] Bernhard Schölkopf,et al. Kernel Methods in Computational Biology , 2005 .
[33] A A Salamov,et al. Prediction of protein secondary structure by combining nearest-neighbor algorithms and multiple sequence alignments. , 1995, Journal of molecular biology.
[34] I. Kuntz,et al. Tertiary Structure Prediction , 1989 .
[35] Gérard Dreyfus,et al. Single-layer learning revisited: a stepwise procedure for building and training a neural network , 1989, NATO Neurocomputing.
[36] Jonathan D. Hirst,et al. Prediction of backbone dihedral angles and protein secondary structure using support vector machines , 2009, BMC Bioinformatics.
[37] G. Fasman. Prediction of Protein Structure and the Principles of Protein Conformation , 2012, Springer US.
[38] G J Barton,et al. Evaluation and improvement of multiple sequence methods for protein secondary structure prediction , 1999, Proteins.
[39] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[40] Yi Pan,et al. Rule generation for protein secondary structure prediction with support vector machines and decision tree , 2006, IEEE Transactions on NanoBioscience.
[41] Jagath C Rajapakse,et al. Multi-class support vector machines for protein secondary structure prediction. , 2003, Genome informatics. International Conference on Genome Informatics.
[42] Ulrich H.-G. Kreßel,et al. Pairwise classification and support vector machines , 1999 .
[43] Bingru Yang,et al. Protein secondary structure prediction based on improved SVM method in compound pyramid model , 2010, 2010 Chinese Control and Decision Conference.
[44] Burkhard Rost,et al. The PredictProtein server , 2003, Nucleic Acids Res..
[45] Juliette Martin,et al. Analysis of an optimal hidden Markov model for secondary structure prediction , 2006, BMC Structural Biology.
[46] Jagath C. Rajapakse,et al. Two-Stage Multi-Class Support Vector Machines to Protein Secondary Structure Prediction , 2004, Pacific Symposium on Biocomputing.
[47] Saraswathi Vishveshwara,et al. PROTEIN STRUCTURE: INSIGHTS FROM GRAPH THEORY , 2002 .
[48] Hyunsoo Kim,et al. Protein secondary structure prediction based on an improved support vector machines approach. , 2003, Protein engineering.
[49] F. Richards,et al. Identification of structural motifs from protein coordinate data: Secondary structure and first‐level supersecondary structure * , 1988, Proteins.
[50] Kuang Lin,et al. A simple and fast secondary structure prediction method using hidden neural networks , 2005, Bioinform..
[51] Pierre Baldi,et al. Improving the prediction of protein secondary structure in three and eight classes using recurrent neural networks and profiles , 2002, Proteins.
[52] P. Argos,et al. Knowledge‐based protein secondary structure assignment , 1995, Proteins.
[53] A. Finkelstein,et al. Theory of protein secondary structure and algorithm of its prediction , 1983, Biopolymers.
[54] M Ouali,et al. Cascaded multiple classifiers for secondary structure prediction , 2000, Protein science : a publication of the Protein Society.
[55] Bingru Yang,et al. The Research of Protein Secondary Structure Prediction System Based on KDTICM , 2009 .
[56] S. Hua,et al. A novel method of protein secondary structure prediction with high segment overlap measure: support vector machine approach. , 2001, Journal of molecular biology.
[57] D T Jones,et al. Protein secondary structure prediction based on position-specific scoring matrices. , 1999, Journal of molecular biology.
[58] D. Mount. Bioinformatics: Sequence and Genome Analysis , 2001 .
[59] John P. Overington,et al. The prediction and orientation of alpha-helices from sequence alignments: the combined use of environment-dependent substitution tables, Fourier transform methods and helix capping rules. , 1994, Protein engineering.
[60] Yi Zhao,et al. A protein secondary structure prediction framework based on the Extreme Learning Machine , 2008, Neurocomputing.
[61] María S. Pérez-Hernández,et al. Bayesian network multi-classifiers for protein secondary structure prediction , 2004, Artif. Intell. Medicine.
[62] Yuedong Yang,et al. Predicting continuous local structure and the effect of its substitution for secondary structure in fragment-free protein structure prediction. , 2009, Structure.
[63] Yaoqi Zhou,et al. Achieving 80% ten‐fold cross‐validated accuracy for secondary structure prediction by large‐scale training , 2006, Proteins.
[64] Adam Prügel-Bennett,et al. An evolutionary method for learning HMM structure: prediction of protein secondary structure , 2007, BMC Bioinformatics.
[65] Aoife McLysaght,et al. Porter: a new, accurate server for protein secondary structure prediction , 2005, Bioinform..