Prediction of Pre-microRNA Secondary Structure Based on Reverse Complementary Folding

Jin Li, Chengzhen Xu, Lei Wang, Hong Liang, Weixing Feng, Zhongxi Cai, Ying Wang, Wang Cong, Yunlong Liu

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


Based on the general features of the pre-microRNA secondary structure, this paper specifically predicts the pre-microRNA secondary structure, which focuses on the reverse complementary folding and forces them to form hairpin loop structures, this algorithm named 'rcfold'. In the result, a number of pre-microRNA sequencing data structure level as the test data set of the proposed algorithm, and then the predicted results obtained by the proposed 'rcfold' algorithm is compared with the ones acquired by rnafold. The experimental results show that in sensitivity, specificity and MCC value, the proposed algorithm outperforms rnafold.

Original languageEnglish (US)
Pages (from-to)239-244
Number of pages6
Issue number28
StatePublished - 2015


  • Complementary
  • Path planning
  • RNA
  • Structural constraints
  • Structural optimization
  • Suboptimal

ASJC Scopus subject areas

  • Control and Systems Engineering

Fingerprint Dive into the research topics of 'Prediction of Pre-microRNA Secondary Structure Based on Reverse Complementary Folding'. Together they form a unique fingerprint.

Cite this