The Bahai Institute for Higher Education BIHE

Tehrān, Iran

The Bahai Institute for Higher Education BIHE

Tehrān, Iran
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Niu Y.,Imperial College London | Niu Y.,Sichuan University | Niu Y.,Yale University | Liu C.,University of Sichuan | And 5 more authors.
PeerJ | Year: 2017

Direct and indirect functional links between proteins as well as their interactions as part of larger protein complexes or common signaling pathways may be predicted by analyzing the correlation of their evolutionary patterns. Based on phylogenetic profiling, here we present a highly scalable and time-efficient computational framework for predicting linkages within the whole human proteome. We have validated this method through analysis of 3,697 human pathways and molecular complexes and a comparison of our results with the prediction outcomes of previously published co-occurrency model-based and normalization methods. Here we also introduce PrePhyloPro, a web-based software that uses our method for accurately predicting proteome-wide linkages. We present data on interactions of human mitochondrial proteins, verifying the performance of this software. © 2017 Niu et al.

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