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

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Author(s)
Heffernan, Rhys
Paliwal, Kuldip
Lyons, James
Dehzangi, Abdollah
Sharma, Alok
Wang, Jihua
Sattar, Abdul
Yang, Yuedong
Zhou, Yaoqi
Griffith University Author(s)
Year published
2015
Metadata
Show full item recordJournal Title
Scientific Reports
Volume
5
Copyright Statement
© The Author(s) 2015. This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
Subject
Bioinformatics
Structural Biology (incl. Macromolecular Modelling)
Pattern Recognition and Data Mining