Bioinformatics Preprint 03-013
Modeling RNA Folding
Ivo L. Hofacker, Peter F. Stadler
To Appear In:
Complex Systems in Biomedicine
edited by Thomas S Deisboeck, J. Yasha Kresh, and Thomas B Kepler.
In recent years it has become evident that functional RNAs in living
organisms are not just curious remnants from a primoridal RNA world but an
ubiquitous phenomenon complementing protein enzyme based
activity. Functional RNAs, just like proteins, depend in many cases upon
their well-defined and evolutionarily conserved three-dimensional
structure. In contrast to protein folds, however, RNA molecules have a
biophysically important coarse-grained representation: their secondary
structure. At this level of resolution at least, RNA structures can be
efficiently predicted given only the sequence information. As a
consequence, computational studies of RNA routinely incorporate structural
information explicitly. RNA secondary structure prediction has proven
useful in diverse fields ranging from theoretical models of sequence
evolution and biopolymer folding, to genome analysis and even the design
biotechnologically or pharmaceutically useful molecules.
Functional RNA, Non-Coding RNA, RNA Secondary Structure Prediction, Conserved RNA Structures
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Last modified: 2003-06-12 15:07:00 studla