Protein Contact Prediction by Integrating Joint Evolutionary Coupling Analysis and Supervised Learning

Conference paper

DOI: 10.1007/978-3-319-16706-0_21

Volume 9029 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Ma J., Wang S., Wang Z., Xu J. (2015) Protein Contact Prediction by Integrating Joint Evolutionary Coupling Analysis and Supervised Learning. In: Przytycka T. (eds) Research in Computational Molecular Biology. RECOMB 2015. Lecture Notes in Computer Science, vol 9029. Springer, Cham

Abstract

Residue-residue contacts play an important role in maintaining the native fold of a protein and guiding protein folding. However, contact prediction from sequence is very challenging, as indicated by CASP10 [1], which shows that long-range contact prediction accuracy on hard targets is only ~20%.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Jianzhu Ma
    • 1
  • Sheng Wang
    • 1
  • Zhiyong Wang
    • 1
  • Jinbo Xu
    • 1
  1. 1.Toyota Technological Institute at ChicagoChicagoUSA