4.3 Article

Improved protein contact predictions with the MetaPSICOV2 server in CASP12

期刊

出版社

WILEY
DOI: 10.1002/prot.25379

关键词

contact prediction; machine learning; meta-prediction; bioinformatics

资金

  1. Biotechnology and Biological Sciences Research Council [BB/M011712/1] Funding Source: researchfish
  2. BBSRC [BB/M011712/1] Funding Source: UKRI
  3. Biotechnology and Biological Sciences Research Council [BB/M011712/1] Funding Source: Medline

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In this paper, we present the results for the MetaPSICOV2 contact prediction server in the CASP12 community experiment (). 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.

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