Literature DB >> 22230937

Docking-calculation-based method for predicting protein-RNA interactions.

Masahito Ohue1, Yuri Matsuzaki, Yutaka Akiyama.   

Abstract

Elucidating protein-RNA interactions (PRIs) is important for understanding many cellular systems. We developed a PRI prediction method by using a rigid-body protein-RNA docking calculation with tertiary structure data. We evaluated this method by using 78 protein-RNA complex structures from the Protein Data Bank. We predicted the interactions for pairs in 78×78 combinations. Of these, 78 original complexes were defined as positive pairs, and the other 6,006 complexes were defined as negative pairs; then an F-measure value of 0.465 was obtained with our prediction system.

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Year:  2011        PMID: 22230937

Source DB:  PubMed          Journal:  Genome Inform        ISSN: 0919-9454


  4 in total

1.  Protein-protein interaction network prediction by using rigid-body docking tools: application to bacterial chemotaxis.

Authors:  Yuri Matsuzaki; Masahito Ohue; Nobuyuki Uchikoga; Yutaka Akiyama
Journal:  Protein Pept Lett       Date:  2014       Impact factor: 1.890

2.  MEGADOCK 3.0: a high-performance protein-protein interaction prediction software using hybrid parallel computing for petascale supercomputing environments.

Authors:  Yuri Matsuzaki; Nobuyuki Uchikoga; Masahito Ohue; Takehiro Shimoda; Toshiyuki Sato; Takashi Ishida; Yutaka Akiyama
Journal:  Source Code Biol Med       Date:  2013-09-03

3.  Highly precise protein-protein interaction prediction based on consensus between template-based and de novo docking methods.

Authors:  Masahito Ohue; Yuri Matsuzaki; Takehiro Shimoda; Takashi Ishida; Yutaka Akiyama
Journal:  BMC Proc       Date:  2013-12-20

4.  MEGADOCK: an all-to-all protein-protein interaction prediction system using tertiary structure data.

Authors:  Masahito Ohue; Yuri Matsuzaki; Nobuyuki Uchikoga; Takashi Ishida; Yutaka Akiyama
Journal:  Protein Pept Lett       Date:  2014       Impact factor: 1.890

  4 in total

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