@inbook{71e46a56814c4b5eb9ce6ea4585b41a9,
title = "Computational approaches for predicting mutation effects on RNA Sstructure",
abstract = "Noncoding RNA (ncRNA) is now well characterized for its role in various cellular functions, including housekeeping and regulation. The structural characteristics of many ncRNAs are essential for their function. Traditional mutagenesis experiments help to study the structure-function relationship of ribonucleic acids (RNAs) by introducing artificial (random or site-directed) mutations that stabilize/destabilize the RNA structure. Furthermore, naturally occurring variants (such as single nucleotide polymorphisms or mutations) on RNA may also disrupt the RNA structure-function relationship and can sometimes be associated with diseases or traits. The secondary structure of an RNA sequence can be predicted in various ways by many different RNA folding methods. Here, we review the current computational methods, based on the RNA folding algorithms, for predicting mutation effects on RNA secondary structure.",
author = "Sabarinathan Radhakrishnan and Jan Gorodkin",
year = "2014",
month = jul,
day = "25",
doi = "10.1016/B978-0-444-53632-7.01109-6",
language = "English",
isbn = "978-0-444-53632-7",
series = "Comprehensive biomedical physics",
publisher = "Elsevier",
pages = "111--121",
editor = "Bengt Persson",
booktitle = "Bioinformatics",
address = "Netherlands",
}