Real‐SPINE: An integrated system of neural networks for real‐value prediction of protein structural properties
暂无分享,去创建一个
Yaoqi Zhou | Ofer Dor | Yaoqi Zhou | O. Dor | Ofer Dor
[1] M. Gromiha,et al. Real value prediction of solvent accessibility from amino acid sequence , 2003, Proteins.
[2] Hahn-Ming Lee,et al. Prediction and evolutionary information analysis of protein solvent accessibility using multiple linear regression , 2005, Proteins.
[3] Jagath C Rajapakse,et al. Two‐stage support vector regression approach for predicting accessible surface areas of amino acids , 2006, Proteins.
[4] Jens Meiler,et al. Generation and evaluation of dimension-reduced amino acid parameter representations by artificial neural networks , 2001 .
[5] W. Kabsch,et al. Dictionary of protein secondary structure: Pattern recognition of hydrogen‐bonded and geometrical features , 1983, Biopolymers.
[6] B. Rost,et al. Protein fold recognition by prediction-based threading. , 1997, Journal of molecular biology.
[7] Guoli Wang,et al. PISCES: a protein sequence culling server , 2003, Bioinform..
[8] J. Hirst,et al. Protein secondary structure prediction with dihedral angles , 2005, Proteins.
[9] Yaoqi Zhou,et al. QBES: Predicting real values of solvent accessibility from sequences by efficient, constrained energy optimization , 2006, Proteins.
[10] Ron Elber,et al. SSALN: An alignment algorithm using structure‐dependent substitution matrices and gap penalties learned from structurally aligned protein pairs , 2005, Proteins.
[11] Jagath C Rajapakse,et al. Prediction of protein relative solvent accessibility with a two‐stage SVM approach , 2005, Proteins.
[12] Yaoqi Zhou,et al. Achieving 80% ten‐fold cross‐validated accuracy for secondary structure prediction by large‐scale training , 2006, Proteins.
[13] Burkhard Rost,et al. TOPITS: Threading One-Dimensional Predictions Into Three-Dimensional Structures , 1995, ISMB.
[14] Haesun Park,et al. Prediction of protein relative solvent accessibility with support vector machines and long‐range interaction 3D local descriptor , 2004, Proteins.
[15] Pierre Baldi,et al. A machine learning information retrieval approach to protein fold recognition. , 2006, Bioinformatics.
[16] Zheng Yuan,et al. Prediction of protein accessible surface areas by support vector regression , 2004, Proteins.
[17] Burkhard Rost,et al. Improving fold recognition without folds. , 2004, Journal of molecular biology.
[18] D T Jones,et al. Protein secondary structure prediction based on position-specific scoring matrices. , 1999, Journal of molecular biology.
[19] Harpreet Kaur,et al. Real value prediction of solvent accessibility in proteins using multiple sequence alignment and secondary structure , 2005, Proteins.
[20] Aleksey Porollo,et al. PROTEINS: Structure, Function, and Bioinformatics 56:753–767 (2004) Accurate Prediction of Solvent Accessibility Using Neural Networks–Based Regression , 2022 .
[21] Thomas L. Madden,et al. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. , 1997, Nucleic acids research.