Improved protein contact predictions with the MetaPSICOV2 server in CASP12

被引:38
作者
Buchan, Daniel W. A. [1 ]
Jones, David T. [1 ]
机构
[1] UCL, Dept Comp Sci, London, England
基金
英国生物技术与生命科学研究理事会;
关键词
contact prediction; machine learning; meta-prediction; bioinformatics; ASSISTED PREDICTIONS;
D O I
10.1002/prot.25379
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:78 / 83
页数:6
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