Predicting novel protein-protein interactions between the HIV-1 virus and homo sapiens

Bradley Barnes, Maryam Karimloo, Andrew Schoenrock, Daniel J. Burnside, E. Cassol, A. Wong, F. Dehne, A. Golshani, J. Green
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引用次数: 6

Abstract

The HIV-1 virus affects millions of people around the world. Identifying novel protein-protein interactions (PPIs) between HIV and humans would lead to a better understanding of the virus and possibly to new treatment targets. The Proteinprotein Interaction Prediction Engine (PIPE) is a broadly applicable, highly precise, and computationally efficient method of predicting PPIs. Here, PIPE is used to predict new host-virus protein interactions in order to generate new testable hypotheses and to guide future biological experiments. In total, 229 new interactions were predicted at high confidence, with an estimated recall of 22.5% and specificity of 99.95%. Some of these interactions may be verified experimentally in the future.
预测HIV-1病毒和智人之间新的蛋白质-蛋白质相互作用
HIV-1病毒影响着全世界数百万人。确定HIV与人类之间新的蛋白-蛋白相互作用(PPIs)将有助于更好地了解这种病毒,并可能找到新的治疗靶点。蛋白质-蛋白质相互作用预测引擎(PIPE)是一种广泛适用、高精度、计算效率高的预测ppi的方法。在这里,PIPE被用来预测新的宿主-病毒蛋白质相互作用,以产生新的可测试的假设,并指导未来的生物学实验。总共有229种新的相互作用以高置信度预测,估计召回率为22.5%,特异性为99.95%。这些相互作用中的一些可能在未来的实验中得到验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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