Learning Based Protein Secondary Structure Predictor
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[1] B. Rost. PHD: predicting one-dimensional protein structure by profile-based neural networks. , 1996, Methods in enzymology.
[2] Hyunsoo Kim,et al. Protein secondary structure prediction based on an improved support vector machines approach. , 2003, Protein engineering.
[3] Min Huang,et al. Position‐specific residue preference features around the ends of helices and strands and a novel strategy for the prediction of secondary structures , 2008, Protein science : a publication of the Protein Society.
[4] W. Kabsch,et al. Dictionary of protein secondary structure: Pattern recognition of hydrogen‐bonded and geometrical features , 1983, Biopolymers.
[5] R. Polikar,et al. Ensemble based systems in decision making , 2006, IEEE Circuits and Systems Magazine.
[6] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[7] Razvan Pascanu,et al. Theano: new features and speed improvements , 2012, ArXiv.
[8] B. Rost,et al. Combining evolutionary information and neural networks to predict protein secondary structure , 1994, Proteins.
[9] Yann LeCun,et al. Convolutional networks and applications in vision , 2010, Proceedings of 2010 IEEE International Symposium on Circuits and Systems.
[10] Geoffrey E. Hinton,et al. Learning representations by back-propagating errors , 1986, Nature.
[11] Honglak Lee,et al. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations , 2009, ICML '09.
[12] Jason Weston,et al. A unified architecture for natural language processing: deep neural networks with multitask learning , 2008, ICML '08.
[13] Yann LeCun,et al. What is the best multi-stage architecture for object recognition? , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[14] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[15] Ameet Talwalkar,et al. Foundations of Machine Learning , 2012, Adaptive computation and machine learning.
[16] M. Karplus,et al. Protein secondary structure prediction with a neural network. , 1989, Proceedings of the National Academy of Sciences of the United States of America.
[17] A. Tramontano,et al. Critical assessment of methods of protein structure prediction (CASP)—round IX , 2011, Proteins.
[18] G. Crooks,et al. Protein secondary structure: entropy, correlations and prediction. , 2003, Bioinformatics.
[19] Bernard F. Buxton,et al. Secondary structure prediction with support vector machines , 2003, Bioinform..
[20] Lars Malmström,et al. PROTEINS: Structure, Function, and Bioinformatics Suppl 7:193–200 (2005) Automated Prediction of Domain Boundaries in CASP6 Targets Using Ginzu and RosettaDOM , 2022 .
[21] Satoru Hayamizu,et al. Prediction of protein secondary structure by the hidden Markov model , 1993, Comput. Appl. Biosci..
[22] D. Kihara. The effect of long‐range interactions on the secondary structure formation of proteins , 2005, Protein science : a publication of the Protein Society.
[23] Yücel Altunbasak,et al. Protein secondary structure prediction for a single-sequence using hidden semi-Markov models , 2006, BMC Bioinformatics.
[24] Lawrence R. Rabiner,et al. A tutorial on hidden Markov models and selected applications in speech recognition , 1989, Proc. IEEE.
[25] Jianpeng Ma,et al. OPUS-Dom: applying the folding-based method VECFOLD to determine protein domain boundaries. , 2009, Journal of molecular biology.
[26] R Langridge,et al. Improvements in protein secondary structure prediction by an enhanced neural network. , 1990, Journal of molecular biology.
[27] T. Sejnowski,et al. Predicting the secondary structure of globular proteins using neural network models. , 1988, Journal of molecular biology.
[28] Lukasz A. Kurgan,et al. SPINE X: Improving protein secondary structure prediction by multistep learning coupled with prediction of solvent accessible surface area and backbone torsion angles , 2012, J. Comput. Chem..
[29] G J Barton,et al. Evaluation and improvement of multiple sequence methods for protein secondary structure prediction , 1999, Proteins.
[30] 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.
[31] D T Jones,et al. Protein secondary structure prediction based on position-specific scoring matrices. , 1999, Journal of molecular biology.
[32] Hu Chen,et al. A novel method for protein secondary structure prediction using dual‐layer SVM and profiles , 2004, Proteins.