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High-throughput Identification of Synergistic Drug Combinations by the Overlap2 Method

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Published on: May 21, 2018

Detection of functional overlapping genes: simulation and case studies.

Niv Sabath¹, Dan Graur

¹Department of Biology and Biochemistry, University of Houston, Houston, TX 77204, USA. nsabath@gmail.com

Journal of Molecular Evolution

|September 8, 2010

Summary

This study introduces a new method to identify functional overlapping genes by detecting purifying selection. The method shows higher sensitivity and specificity than existing approaches, improving the analysis of overlapping gene functionality.

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Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays

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Published on: November 12, 2012

Area of Science:

Genomics
Bioinformatics
Evolutionary Biology

Background:

Overlapping genes present challenges in identifying functional open-reading frames (ORFs).
Determining the functionality of overlapping ORFs is complex.
Previous methods for detecting functional ORFs have limitations.

Purpose of the Study:

To evaluate a novel method for predicting the functionality of overlapping ORFs based on purifying selection.
To compare the performance of the new method against the Firth and Brown method.
To investigate the evolutionary origin of aminoacyl tRNA synthetase classes and assess the functionality of specific overlapping genes in the human genome.

Main Methods:

Simulation studies to test the new method under various conditions.
Comparative analysis with the Firth and Brown method.
Examination of sequence divergence and signatures of purifying selection in overlapping genes.

Main Results:

The proposed method demonstrated higher sensitivity and specificity in detecting functional overlapping genes compared to the Firth and Brown method.
Purifying selection signatures were detected only in highly divergent sequences for a heat-shock protein-70 gene, suggesting potential false positives and non-functionality of the overlapping ORF.
Analysis of three human genome overlaps revealed varying purifying selection signatures, indicating potential non-functionality in two cases.

Conclusions:

The developed method offers a more sensitive and specific approach for identifying functional overlapping genes.
The hypothesis regarding the origin of aminoacyl tRNA synthetase classes from overlapping genes is not supported by the evidence.
Further investigation is warranted for overlapping genes in the human genome, as some may not be functional.