ArticleJournal of biosciences2012
DNA-energetics-based analyses suggest additional genes in prokaryotes.
Article in Journal of biosciences, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed.
- Intron exon boundary junctions in human genome have in-built unique structural and energetic signals.Nucleic acids research · 2021Article
- Toward a Universal Structural and Energetic Model for Prokaryotic Promoters.Biophysical journal · 2018Article
- Physico-chemical fingerprinting of RNA genes.Nucleic acids research · 2017Article
- Unveiling DNA structural features of promoters associated with various types of TSSs in prokaryotic transcriptomes and their role in gene expression.DNA research : an international journal for rapid publication of reports on genes and genomes · 2017Article
- A statistical thermodynamic model for investigating the stability of DNA sequences from oligonucleotides to genomes.Biophysical journal · 2014Article
- Genomes to hits in silico - a country path today, a highway tomorrow: a case study of chikungunya.Current pharmaceutical design · 2013Review
- Nucleic acids in disease and disorder: Understanding the language of life emerging from the 'ABC' of DNA.Journal of biosciences · 2012Article
Corrections and comments
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Authors and funding
3 authors.
Funding
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Abstract
We present here a novel methodology for predicting new genes in prokaryotic genomes on the basis of inherent energetics of DNA. Regions of higher thermodynamic stability were identified, which were filtered based on already known annotations to yield a set of potentially new genes. These were then processed for their compatibility with the stereo-chemical properties of proteins and tripeptide frequencies of proteins in Swissprot data, which results in a reliable set of new genes in a genome. Quite surprisingly, the methodology identifies new genes even in well-annotated genomes. Also, the methodology can handle genomes of any GC-content, size and number of annotated genes.
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Registered trials
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