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ACCBN: ant-Colony-clustering-based bipartite network method for predicting long non-coding RNA-protein interactions.

Rong ZhuGuangshun LiJin-Xing LiuLing-Yun DaiYing Guo
Published in: BMC bioinformatics (2019)
With the continuous development of biology, besides the research on the cellular process, the research on the interaction function between proteins becomes a new key topic of biology. The studies on protein-protein interactions had important implications for bioinformatics, clinical medicine, and pharmacology. However, there are many kinds of proteins, and their functions of interactions are complicated. Moreover, the experimental methods require time to be confirmed because it is difficult to estimate. Therefore, a viable solution is to predict protein-protein interactions efficiently with computers. The ACCBN method has a good effect on the prediction of protein-protein interactions in terms of sensitivity, precision, accuracy, and F1-score.
Keyphrases
  • long non coding rna
  • poor prognosis
  • single cell
  • rna seq
  • protein protein
  • binding protein
  • case control