Buchan, DWA;
Jones, DT;
(2017)
Improved protein contact predictions with the MetaPSICOV2 server in CASP12.
Proteins: Structure, Function and Bioinformatics
10.1002/prot.25379.
(In press).
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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 (Kinch, Li et al. 2016). 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.
| Type: | Article |
|---|---|
| Title: | Improved protein contact predictions with the MetaPSICOV2 server in CASP12 |
| Location: | United States |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1002/prot.25379 |
| Publisher version: | http://dx.doi.org/10.1002/prot.25379 |
| Language: | English |
| Additional information: | Copyright © 2017 The Authors. This is an open access article under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
| Keywords: | contact prediction; machine learning; meta-prediction; bioinformatics |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1574306 |
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