Computational methods are described which increase the efficiency of the RNA folding algorithm described by Zuker and Stiegler. Bit addressing has been used to reduce the memory requirements from 2NxN to NxN/2. The order in which the nucleotide sequence is examined internally has been altered, and some additional short arrays which carry temporary information have been introduced. These changes optimize the management of the large data arrays generated by the algorithm. The methods were developed for use with a UNIVAC 1100/82 computer. They are, however, easily adaptable to other computers; especially those with virtual memory capabilities. The analysis of sequences up to 1000 nucleotides long are relatively routine, and larger searches are also feasible. Some limitations and applications of the algorithm are also discussed.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC320982PMC
http://dx.doi.org/10.1093/nar/12.1part1.45DOI Listing

Publication Analysis

Top Keywords

computational methods
8
simple computational
4
methods improve
4
improve folding
4
folding large
4
large rnas
4
rnas computational
4
methods described
4
described increase
4
increase efficiency
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!