This paper is in the following e-collection/theme issue:

Theme issue 2019: Health Natural Language Processing (17)

Published on in Vol 8, No 5 (2020): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17643, first published .
A Graph Convolutional Network–Based Method for Chemical-Protein Interaction Extraction: Algorithm Development

A Graph Convolutional Network–Based Method for Chemical-Protein Interaction Extraction: Algorithm Development

A Graph Convolutional Network–Based Method for Chemical-Protein Interaction Extraction: Algorithm Development

Authors of this article:

Erniu Wang1 Author Orcid Image ;   Fan Wang1 Author Orcid Image ;   Zhihao Yang1 Author Orcid Image ;   Lei Wang2 Author Orcid Image ;   Yin Zhang2 Author Orcid Image ;   Hongfei Lin1 Author Orcid Image ;   Jian Wang1 Author Orcid Image
Article Authors Cited by (8) Tweetations (3) Metrics

Journals

  1. Hao T, Huang Z, Liang L, Weng H, Tang B. Health Natural Language Processing: Methodology Development and Applications. JMIR Medical Informatics 2021;9(10):e23898 View
  2. Yazdani-Jahromi M, Yousefi N, Tayebi A, Kolanthai E, Neal C, Seal S, Garibay O. AttentionSiteDTI: an interpretable graph-based model for drug-target interaction prediction using NLP sentence-level relation classification. Briefings in Bioinformatics 2022;23(4) View
  3. Li R, Yuan X, Radfar M, Marendy P, Ni W, O'Brien T, Casillas-Espinosa P. Graph Signal Processing, Graph Neural Network and Graph Learning on Biological Data: A Systematic Review. IEEE Reviews in Biomedical Engineering 2023;16:109 View
  4. Ma X, Lu Y, Lu Y, Jiang M. SIMEON: Prediction of Chemical-protein Interaction via Stacked Bi-GRU-normalization Network and External Biomedical Knowledge. Current Bioinformatics 2022;17(9):848 View
  5. He J, Li F, Li J, Hu X, Nian Y, Xiang Y, Wang J, Wei Q, Li Y, Xu H, Tao C. Prompt Tuning in Biomedical Relation Extraction. Journal of Healthcare Informatics Research 2024;8(2):206 View
  6. Ma J, Zhao Z, Li T, Liu Y, Ma J, Zhang R. GraphsformerCPI: Graph Transformer for Compound–Protein Interaction Prediction. Interdisciplinary Sciences: Computational Life Sciences 2024;16(2):361 View
  7. Lilhore U, Simaiya S, Dalal S, Faujdar N, Sharma Y, Rao K, Maheswara Rao V, Tomar S, Ghith E, Tlija M. ProtienCNN‐BLSTM: An efficient deep neural network with amino acid embedding‐based model of protein sequence classification and biological analysis. Computational Intelligence 2024;40(4) View

Books/Policy Documents

  1. Zhu B, Zhang R, Jiang T, Cui Z, Wu H. Advanced Intelligent Computing Technology and Applications. View