Breda J Rzepiela AJ Gumienny R van Nimwegen E Zavolan M 2015 We quantify the strength of miRNA-target interactions with MIRZA, a recently introduced biophysical model. We show that computationally predicted energies of interaction correlate strongly with the energies of interaction estimated from biochemical measurements of Michaelis-Menten constants. We further show that the accuracy of the MIRZA model can be improved taking into account recently emerged experimental data types. In particular, we use chimeric miRNA-mRNA sequences to infer a MIRZA-CHIMERA model and we provide a framework for inferring a similar model from measurements of rate constants of miRNA-mRNA interaction in the context of Argonaute proteins. Finally, based on a simple model of miRNA-based regulation, we discuss the importance of interaction energy and its variability between targets for the modulation of miRNA target expression in vivo. https://sonar.ch/global/documents/202329 eng info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ymeth.2015.04.012 info:eu-repo/semantics/altIdentifier/pmid/25892562 Methods (San Diego, Calif.). - 2015 CLASH CLIP MIRZA Non-canonical miRNA binding miRNA miRNA target prediction Binding Sites Gene Targeting Humans MicroRNAs Models, Molecular Protein Structure, Secondary Quantifying the strength of miRNA-target interactions. http://purl.org/coar/resource_type/c_6501