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. 2017 Apr 4;18:201. doi: 10.1186/s12859-017-1550-y

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© The Author(s). 2017

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Fig. 1 — General idea behind sequence-based PPI prediction. These approaches make use of homology relationships and knowledge about protein interaction networks. An interaction is proposed to occur between the query protein Q and the protein T2, if Q shares similarity with the protein T1 on the sequence level and T1 is experimentally known to interact with T2