Improved protein contact predictions with the MetaPSICOV2 server in CASP12.

Journal: Proteins
Published Date:

Abstract

In this paper, we present the results for the MetaPSICOV2 contact prediction server in the CASP12 community experiment (http://predictioncenter.org). Over the 35 assessed Free Modelling target domains the MetaPSICOV2 server achieved a mean precision of 43.27%, a substantial increase relative to the server's performance in the CASP11 experiment. In the following paper, we discuss improvements to the MetaPSICOV2 server, covering both changes to the neural network and attempts to integrate contact predictions on a domain basis into the prediction pipeline. We also discuss some limitations in the CASP12 assessment which may have overestimated the performance of our method.

Authors

  • Daniel W A Buchan
    Department of Computer Science, University College London, London, UK.
  • David T Jones
    Department of Computer Science, Bioinformatics Group, University College London, Gower Street, London, WC1E 6BT, United Kingdom. d.t.jones@ucl.ac.uk.