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Nucleic Acids Research
Article . 1981 . Peer-reviewed
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Coding capacity of complementary DNA strands

Authors: Casino A.; Cipollaro M.; Guerrini A. M.; Mastrocinque G.; Spena A.; Scarlato V.;

Coding capacity of complementary DNA strands

Abstract

A Fortran computer algorithm has been used to analyze the nucleotide sequence of several structural genes. The analysis performed on both coding and complementary DNA strands shows that whereas open reading frames shorter than 100 codons are randomly distributed on both DNA strands, open reading frames longer than 100 codons ("virtual genes") are significantly more frequent on the complementary DNA strand than on the coding one. These "virtual genes" were further investigated by looking at intron sequences, splicing points, signal sequences and by analyzing gene mutations. On the basis of this analysis coding and complementary DNA strands of several eukaryotic structural genes cannot be distinguished. In particular we suggest that the complementary DNA strand of the human epsilon-globin gene might indeed code for a protein.

Country
Italy
Keywords

Cell Nucleus, computer algorithm; nucleotide sequence analysis; ORFs identification, Base Sequence, Computers, Nucleic Acid Hybridization, DNA, Saccharomyces cerevisiae, DNA, Mitochondrial, Models, Biological, Genes, Species Specificity, Genetic Code, Animals, Humans, Analisi computerizzata di sequenze di acidi nucleici, Codon

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
25
Average
Top 10%
Top 10%
gold