Computational identification of binding energy hot spots in protein-RNA complexes using an ensemble approach.

Journal: Bioinformatics (Oxford, England)
Published Date: May 1, 2018

Abstract

MOTIVATION: Identifying RNA-binding residues, especially energetically favored hot spots, can provide valuable clues for understanding the mechanisms and functional importance of protein-RNA interactions. Yet, limited availability of experimentally recognized energy hot spots in protein-RNA crystal structures leads to the difficulties in developing empirical identification approaches. Computational prediction of RNA-binding hot spot residues is still in its infant stage.

Authors

  • Yuliang Pan
    School of Software, Central South University, Changsha 410075, China.
  • Zixiang Wang
    School of Software, Central South University, Changsha 410075, China.
  • Weihua Zhan
    School of Electronics and Computer Science, Zhejiang Wanli University, Ningbo 315100, China.
  • Lei Deng
    1] Center for Brain Inspired Computing Research (CBICR), Department of Precision Instrument, Tsinghua University, Beijing 100084, China [2] Optical Memory National Engineering Research Center, Department of Precision Instrument, Tsinghua University, Beijing 100084, China.

Keywords

External Resources

Popular Topics
Recent Journals