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ATSE: a peptide toxicity predictor by exploiting structural and evolutionary information based on graph neural network and attention mechanism.

Lesong WeiXiucai YeYuyang XueTetsuya SakuraiLe-Yi Wei
Published in: Briefings in bioinformatics (2021)
Comparative studies demonstrate that the proposed ATSE significantly outperforms all other competing methods. We found that structural information is complementary to the evolutionary information, effectively improving the predictive performance. Importantly, the data-driven features learned by ATSE can be interpreted and visualized, providing additional information for further analysis. Moreover, we present a user-friendly online computational platform that implements the proposed ATSE, which is now available at http://server.malab.cn/ATSE. We expect that it can be a powerful and useful tool for researchers of interest.
Keyphrases
  • neural network
  • health information
  • genome wide
  • social media
  • working memory
  • healthcare
  • squamous cell carcinoma
  • gene expression
  • dna methylation
  • lymph node metastasis
  • single cell
  • case control