دورية أكاديمية

Integrating chemical footprinting data into RNA secondary structure prediction.

التفاصيل البيبلوغرافية
العنوان: Integrating chemical footprinting data into RNA secondary structure prediction.
المؤلفون: Kourosh Zarringhalam, Michelle M Meyer, Ivan Dotu, Jeffrey H Chuang, Peter Clote
المصدر: PLoS ONE, Vol 7, Iss 10, p e45160 (2012)
بيانات النشر: Public Library of Science (PLoS), 2012.
سنة النشر: 2012
المجموعة: LCC:Medicine
LCC:Science
مصطلحات موضوعية: Medicine, Science
الوصف: Chemical and enzymatic footprinting experiments, such as shape (selective 2'-hydroxyl acylation analyzed by primer extension), yield important information about RNA secondary structure. Indeed, since the [Formula: see text]-hydroxyl is reactive at flexible (loop) regions, but unreactive at base-paired regions, shape yields quantitative data about which RNA nucleotides are base-paired. Recently, low error rates in secondary structure prediction have been reported for three RNAs of moderate size, by including base stacking pseudo-energy terms derived from shape data into the computation of minimum free energy secondary structure. Here, we describe a novel method, RNAsc (RNA soft constraints), which includes pseudo-energy terms for each nucleotide position, rather than only for base stacking positions. We prove that RNAsc is self-consistent, in the sense that the nucleotide-specific probabilities of being unpaired in the low energy Boltzmann ensemble always become more closely correlated with the input shape data after application of RNAsc. From this mathematical perspective, the secondary structure predicted by RNAsc should be 'correct', in as much as the shape data is 'correct'. We benchmark RNAsc against the previously mentioned method for eight RNAs, for which both shape data and native structures are known, to find the same accuracy in 7 out of 8 cases, and an improvement of 25% in one case. Furthermore, we present what appears to be the first direct comparison of shape data and in-line probing data, by comparing yeast asp-tRNA shape data from the literature with data from in-line probing experiments we have recently performed. With respect to several criteria, we find that shape data appear to be more robust than in-line probing data, at least in the case of asp-tRNA.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1932-6203
Relation: http://europepmc.org/articles/PMC3473038?pdf=render; https://doaj.org/toc/1932-6203
DOI: 10.1371/journal.pone.0045160
URL الوصول: https://doaj.org/article/185a8d187a5b40b4b891a6275f5840ac
رقم الأكسشن: edsdoj.185a8d187a5b40b4b891a6275f5840ac
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:19326203
DOI:10.1371/journal.pone.0045160