Target prediction and a statistical sampling algorithm for RNA-RNA interaction

Autor: Huang, F. W. D., Qin, J., Reidys, C. M., Stadler, P. F.

It has been proven that the accessibility of the target sites has a critical influence for miRNA and siRNA. In this paper, we present a program, rip2.0, not only the energetically most favorable targets site based on the hybrid-probability, but also

Externí odkaz: http://arxiv.org/abs/0908.0597

Design of Artificial Riboswitches as Biosensors.

Autor: Findeiß, Sven^1,2,3 sven@bioinf.uni-leipzig.de, Etzel, Maja⁴ maja.etzel@uni-leipzig.de, Will, Sebastian^1,3 will@tbi.univie.ac.at, Mörl, Mario⁴ moerl@uni-leipzig.de, Stadler, Peter F.^{1,3,5,6,7,8,9} studla@bioinf.uni-leipzig.de

Publikováno v: Sensors (14248220). Sep2017, Vol. 17 Issue 9, p1990. 28p.

Optimization of a novel biophysical model using large scale in vivo antisense hybridization data displays improved prediction capabilities of structurally accessible RNA regions.

Autor: Vazquez-Anderson, Jorge, Mihailovic, Mia K., Baldridge, Kevin C., Reyes, Kristofer G., Haning, Katie, Seung Hee Cho, Amador, Paul, Powell, Warren B., Contreras, Lydia M.

Publikováno v: Nucleic Acids Research; 5/19/2017, Vol. 45 Issue 9, p5523-5538, 16p, 4 Diagrams, 4 Graphs

A comprehensive comparison of general RNA–RNA interaction prediction methods.

Autor: Lai, Daniel, Meyer, Irmtraud M.

Publikováno v: Nucleic Acids Research; 4/20/2016, Vol. 44 Issue 7, pe61-e73, 13p, 1 Diagram, 2 Charts, 1 Graph

Exact Learning of RNA Energy Parameters from Structure.

Autor: Chitsaz, Hamidreza, Aminisharifabad, Mohammad

Publikováno v: Research in Computational Molecular Biology: 18th Annual International Conference, RECOMB 2014, Pittsburgh, PA, USA, April 2-5, 2014, Proceedings; 2014, p56-68, 13p