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Single‐sequence‐based prediction of protein secondary structures and solvent accessibility by deep whole‐sequence learning

机译：基于单序列的蛋白质二级结构预测和深层全序学习的溶剂可访问性

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Rhys Heffernan; Kuldip Paliwal; James Lyons; Jaswinder Singh; Yuedong Yang; Yaoqi Zhou;
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年度 2018
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1. Single-sequence-based prediction of protein secondary structures and solvent accessibility by deep whole-sequence learning [J] . Heffernan Rhys, Paliwal Kuldip, Lyons James, Journal of Computational Chemistry: Organic, Inorganic, Physical, Biological . 2018,第25a26期

机译：基于单序列的蛋白质二级结构预测和深度全序学习的溶剂可接近性
2. Improving prediction of secondary structure, local backbone angles, and solvent accessible surface area of proteins by iterative deep learning [J] . Rhys Heffernan, Kuldip Paliwal, James Lyons, Scientific reports. . 2015,第期

机译：通过迭代深度学习改善蛋白质蛋白质局部骨干角和溶剂可接近表面积的预测
3. Real value prediction of solvent accessibility in proteins using multiple sequence alignment and secondary structure. [J] . Garg A, Kaur H, Raghava GP Proteins: Structure, Function, and Genetics . 2005,第2期

机译：使用多序列比对和二级结构预测蛋白质中溶剂的可及性。
4. Long sequence feature extraction based on deep learning neural network for protein secondary structure prediction [C] . Yehong Chen 2017 IEEE 3rd Information Technology and Mechatronics Engineering Conference . 2017

机译：基于深度学习神经网络的长序列特征提取用于蛋白质二级结构预测
5. Fast learning optimized prediction methodology for protein secondary structure prediction, relative solvent accessibility prediction and phosphorylation prediction [D] . Sundararajan, Saraswathi 2011

机译：用于蛋白质二级结构预测，相对溶剂可及性预测和磷酸化预测的快速学习优化预测方法
6. Improving prediction of secondary structure local backbone angles and solvent accessible surface area of proteins by iterative deep learning [O] . Rhys Heffernan, Kuldip Paliwal, James Lyons, -1

机译：通过迭代深度学习改善蛋白质二级结构局部主链角和溶剂可及表面积的预测
7. Improving prediction of secondary structure, local backbone angles, and solvent accessible surface area of proteins by iterative deep learning [O] . Heffernan Rhys, Paliwal Kuldip, Lyons James, 2015

机译：通过迭代深度学习改善蛋白质二级结构，局部主链角度和溶剂可及表面积的预测
8. Can Computationally Designed Protein Sequences Improve Secondary Structure Prediction [R] . Bondugula, R., Wallqvist, A., Lee, M. S. 2011

机译：计算设计的蛋白质序列可以改善二级结构预测

Single‐sequence‐based prediction of protein secondary structures and solvent accessibility by deep whole‐sequence learning

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