Searching for IRES
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @Article{Baird:2006:RNA,
-
author = "Stephen D. Baird and Marcel Turcotte and
Robert G. Korneluk and Martin Holcik",
-
title = "Searching for IRES",
-
journal = "RNA",
-
year = "2006",
-
volume = "12",
-
number = "10",
-
pages = "1755--1785",
-
month = oct,
-
publisher = "RNA Society",
-
keywords = "genetic algorithms, genetic programming, IRES, RNA,
secondary structure, prediction software",
-
DOI = "doi:10.1261/rna.157806",
-
abstract = "The cell has many ways to regulate the production of
proteins. One mechanism is through the changes to the
machinery of translation initiation. These alterations
favor the translation of one subset of mRNAs over
another. It was first shown that internal ribosome
entry sites (IRESes) within viral RNA genomes allowed
the production of viral proteins more efficiently than
most of the host proteins. The RNA secondary structure
of viral IRESes has sometimes been conserved between
viral species even though the primary sequences differ.
These structures are important for IRES function, but
no similar structure conservation has yet to be shown
in cellular IRES. With the advances in mathematical
modeling and computational approaches to complex
biological problems, is there a way to predict an IRES
in a data set of unknown sequences? This review
examines what is known about cellular IRES structures,
as well as the data sets and tools available to examine
this question. We find that the lengths, number of
upstream AUGs, and %GC content of 5'-UTRs of the human
transcriptome have a similar distribution to those of
published IRES-containing UTRs. Although the UTRs
containing IRESes are on the average longer, almost
half of all 5'-UTRs are long enough to contain an IRES.
Examination of the available RNA structure prediction
software and RNA motif searching programs indicates
that while these programs are useful tools to fine tune
the empirically determined RNA secondary structure, the
accuracy of de novo secondary structure prediction of
large RNA molecules and subsequent identification of
new IRES elements by computational approaches, is still
not possible.",
-
notes = "Paragraph on \cite{Yuh-JyhHu:2003:NAR} PMCID:
PMC1581980",
- }
Genetic Programming entries for
Stephen D Baird
Marcel Turcotte
Robert G Korneluk
Martin Holcik
Citations