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Improving prediction of secondary structure, local backbone angles, and solvent accessible surface area of proteins by iterative deep learning

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

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摘要

Griffith Sciences, Griffith School of Engineering

机译：格里菲斯工程学院，格里菲斯科学

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作者
Heffernan Rhys; Paliwal Kuldip; Lyons James; Dehzangi Iman; Sharma Alok; Wang Jihua; Sattar Abdul; Zhou Yaoqi;
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年度 2015
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正文语种 English
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专利

1. 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
2. SPINE X: Improving protein secondary structure prediction by multistep learning coupled with prediction of solvent accessible surface area and backbone torsion angles [J] . Faraggi E., Zhang T., Yang Y., Journal of Computational Chemistry: Organic, Inorganic, Physical, Biological . 2012,第3a4期

机译：SPINE X：通过多步学习以及对溶剂可及表面积和主链扭转角的预测，改进蛋白质二级结构的预测
3. Capturing non-local interactions by long short-term memory bidirectional recurrent neural networks for improving prediction of protein secondary structure, backbone angles, contact numbers and solvent accessibility [J] . Bioinformatics . 2017,第18期

机译：通过长短短期内存双向复发性神经网络捕获非局部相互作用，用于改善蛋白质二级结构，骨干角，接触点和溶剂可接近性的预测
4. RaptorX-Angle: real-value prediction ofprotein backbone dihedral angles through a hybrid method of clustering and deep learning [C] . Asia-Pacific Bioinformatics Conference . 2018

机译：Raptorx-Angle：通过混合和深度学习的杂交方法蛋白质骨干骨干角度的实际值预测
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 R., Paliwal K.K., Lyons J., 2015

机译：通过迭代深度学习改进蛋白质二级结构，局部骨架角度和溶剂可及表面积的预测

Improving prediction of secondary structure, local backbone angles, and solvent accessible surface area of proteins by iterative deep learning

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