Author: Alguwaizani, Saud; Park, Byungkyu; Zhou, Xiang; Huang, De-Shuang; Han, Kyungsook
Title: Predicting Interactions between Virus and Host Proteins Using Repeat Patterns and Composition of Amino Acids Document date: 2018_5_9
ID: 0dxrai3j_4
Snippet: In this paper, we present a new method for predicting virus-host PPIs, which is applicable to new viruses or hosts using amino acid repeat patterns and composition. Proteins in a variety of species contain significant amino acid repeats, with more abundance of repeats in eukaryotic proteins than in prokaryotic proteins [10, 11] . It has been found that proteins with a large number of amino acid repeats have a greater number of interacting partner.....
Document: In this paper, we present a new method for predicting virus-host PPIs, which is applicable to new viruses or hosts using amino acid repeat patterns and composition. Proteins in a variety of species contain significant amino acid repeats, with more abundance of repeats in eukaryotic proteins than in prokaryotic proteins [10, 11] . It has been found that proteins with a large number of amino acid repeats have a greater number of interacting partners compared to those without [12] . Experimental results of our method show that the repeat patterns and local composition of amino acids are simple, yet powerful features for predicting virus-host PPIs. e rest of this paper discusses the details of the method and its experimental results.
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