Accurate prediction of protein contact maps by coupling residual two-dimensional bidirectional long short-term memory with convolutional neural networks-Reference-Cited by-同舟云学术

Accurate prediction of protein contact maps by coupling residual two-dimensional bidirectional long short-term memory with convolutional neural networks

Published:2018-06-19 Issue: Volume: Page:
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Hanson Jack¹^ORCID,Paliwal Kuldip¹,Litfin Thomas²,Yang Yuedong²³^ORCID,Zhou Yaoqi²

Affiliation:

1. Signal Processing Laboratory, Griffith University, Brisbane, QLD, Australia

2. Institute for Glycomics and School of Information and Communication Technology, Griffith University, Southport, QLD, Australia

3. School of Data and Computer Science, Sun-Yat Sen University, Guangzhou, Guangdong, China

Funder

Australian Research Council

National Natural Science Foundation of China

National Health and Medical Research Council

The Program for Guangdong Introducing Innovative and Entrepreneurial Teams

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/bty481/25150111/bty481.pdf

Reference57 articles.

1. Tensorflow: large-scale machine learning on heterogeneous distributed systems;Abadi;CoRR,2016

2. DNCON2: improved protein contact prediction using two-level deep convolutional neural networks;Adhikari;Bioinformatics,2017

3. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs;Altschul;Nucleic Acids Res,1997

4. The principled design of large-scale recursive neural network architectures–dag-rnns and the protein structure prediction problem;Baldi;J. Mach. Learn. Res,2003

5. Pair potentials for protein folding: choice of reference states and sensitivity of predicted native states to variations in the interaction schemes;Betancourt;Protein Sci,1999

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