microProtein Prediction Program (miP3): A Software for Predicting microProteins and Their Target Transcription Factors

An emerging concept in transcriptional regulation is that a class of truncated transcription factors (TFs), called microProteins (miPs), engages in protein-protein interactions with TF complexes and provides feedback controls. A handful of miP examples have been described in the literature but the e...

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Bibliographic Details
Main Authors: Niek de Klein, Enrico Magnani, Michael Banf, Seung Yon Rhee
Format: Article
Language:English
Published: Hindawi Limited 2015-01-01
Series:International Journal of Genomics
Online Access:http://dx.doi.org/10.1155/2015/734147
Description
Summary:An emerging concept in transcriptional regulation is that a class of truncated transcription factors (TFs), called microProteins (miPs), engages in protein-protein interactions with TF complexes and provides feedback controls. A handful of miP examples have been described in the literature but the extent of their prevalence is unclear. Here we present an algorithm that predicts miPs and their target TFs from a sequenced genome. The algorithm is called miP prediction program (miP3), which is implemented in Python. The software will help shed light on the prevalence, biological roles, and evolution of miPs. Moreover, miP3 can be used to predict other types of miP-like proteins that may have evolved from other functional classes such as kinases and receptors. The program is freely available and can be applied to any sequenced genome.
ISSN:2314-436X
2314-4378