Prediction of RNA Pseudoknots Using Heuristic Modeling with Mapping and Sequential Folding

Wayne K. Dawson, Kazuya Fujiwara, Gota Kawai · 2007

Read Prediction of RNA Pseudoknots Using Heuristic Modeling with Mapping and Sequential Folding by Wayne K. Dawson, Kazuya Fujiwara, Gota Kawai (2007) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/plos-pone-0000905.txt.

Description

Wayne Dawson, Kazuya Fujiwara and Gota Kawai offered a practical way to predict knots in RNA folding, in PLOS ONE in 2007. Predicting how an RNA strand folds is often the first step toward knowing its structure. Most tools skip pseudoknots, folded loops that cross each other, because searching for them is slow and complex.

Skipping them, though, leaves real structures out of reach. The authors use heuristic modeling, guided shortcuts, with mapping and step by step folding to make the search workable. Better folding guesses help everyone who studies RNA viruses, gene control and RNA based drugs. The paper is aimed at users who need answers in real time.

Catalog record

CREATORWayne K. Dawson, Kazuya Fujiwara, Gota Kawai
YEAR2007
COLLECTIONPAPERS
FORMATTXT
FILE SIZE31 KB
LICENSECreative Commons Attribution License
RIGHTSCC BY
SOURCEPLOS ONE

Source: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0000905

Browse the full library · About the Tower of Babel