Quantitative high-throughput tests of ubiquitous RNA secondary structure prediction algorithms via RNA/protein binding

Nearest-neighbor (NN) rules provide a simple and powerful quantitative framework for RNA structure prediction that is strongly supported for canonical Watson-Crick duplexes from a plethora of thermodynamic measurements. Predictions of RNA secondary structure based on nearest-neighbor (NN) rules are...

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Bibliographische Detailangaben

Veröffentlicht in:	bioRxiv
Hauptverfasser:	Becker, Winston R, Jarmoskaite, Inga, Kappel, Kalli, Vaidyanathan, Pavanapuresan P, Denny, Sarah K, Das, Rhiju, Greenleaf, William J, Herschlag, Daniel
Format:	Paper
Sprache:	Englisch
Veröffentlicht:	Cold Spring Harbor Cold Spring Harbor Laboratory Press 08.03.2019 Cold Spring Harbor Laboratory
Ausgabe:	1.1
Schlagworte:	Algorithms Biophysics Biotechnology Computer applications Nearest-neighbor Protein structure Ribonucleic acid RNA Secondary structure RNA folding thermodynamics nearest-neighbor rules high-throughput biophysics RNA secondary structure
ISSN:	2692-8205, 2692-8205
Online-Zugang:	Volltext
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