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microProtein Prediction Program (miP3): A Software for Predicting microProteins and Their Target Transcription Factors
Joint Authors
de Klein, Niek
Magnani, Enrico
Banf, Michael
Rhee, Seung Yon
Source
International Journal of Genomics
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-4, 4 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-04-28
Country of Publication
Egypt
No. of Pages
4
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
de Klein, Niek& Magnani, Enrico& Banf, Michael& Rhee, Seung Yon. 2015. microProtein Prediction Program (miP3): A Software for Predicting microProteins and Their Target Transcription Factors. International Journal of Genomics،Vol. 2015, no. 2015, pp.1-4.
https://search.emarefa.net/detail/BIM-1066039
Modern Language Association (MLA)
de Klein, Niek…[et al.]. microProtein Prediction Program (miP3): A Software for Predicting microProteins and Their Target Transcription Factors. International Journal of Genomics No. 2015 (2015), pp.1-4.
https://search.emarefa.net/detail/BIM-1066039
American Medical Association (AMA)
de Klein, Niek& Magnani, Enrico& Banf, Michael& Rhee, Seung Yon. microProtein Prediction Program (miP3): A Software for Predicting microProteins and Their Target Transcription Factors. International Journal of Genomics. 2015. Vol. 2015, no. 2015, pp.1-4.
https://search.emarefa.net/detail/BIM-1066039
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1066039