New Results

Structure-aware Protein Solubility Prediction From Sequence Through Graph Convolutional Network And Predicted Contact Map

Jianwen Chen, Shuangjia Zheng, Huiying Zhao, Yuedong Yang
doi: https://doi.org/10.1101/2020.06.24.169011

Article Information

doi 
https://doi.org/10.1101/2020.06.24.169011
History 
  • June 25, 2020.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.

Author Information

  1. Jianwen Chen1,#,
  2. Shuangjia Zheng1,#,
  3. Huiying Zhao2 and
  4. Yuedong Yang1,2,*
  1. 1School of Data and Computer Science, Sun Yat-sen University, Guangzhou 510000, China
  2. 2Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510000, China
  3. 3Key Laboratory of Machine Intelligence and Advanced Computing of MOE, Sun Yat-sen University, Guangzhou 510000, China
  1. ↵*To whom correspondence should be addressed. email: yangyd25{at}mail.sysu.edu.cn

  1. ↵# These two authors contributed equally.

Back to top
Posted June 25, 2020.
Download PDF
Email
Structure-aware Protein Solubility Prediction From Sequence Through Graph Convolutional Network And Predicted Contact Map
Jianwen Chen, Shuangjia Zheng, Huiying Zhao, Yuedong Yang
bioRxiv 2020.06.24.169011; doi: https://doi.org/10.1101/2020.06.24.169011
Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
Citation Tools

Subject Area