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. 2017 Feb 21;45(9):5523–5538. doi: 10.1093/nar/gkx115

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© The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

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Figure 4. — Relative significance of each term in the (A) inTherAcc and (B) inTher models. Optimization of baseline thermodynamic (Equation (4)) and biophysical models (Equation (7)) with in vivo data produces significant models (P-values < 1E-4 and 1E-10, respectively). The addition of the availability term () and its statistically significant interaction with the unfolding energy of the target region (ΔG_tf) to the inTherAcc model increases the significance of common parameters seen in (B).

Inline graphic — Relative significance of each term in the (A) inTherAcc and (B) inTher models. Optimization of baseline thermodynamic (Equation (4)) and biophysical models (Equation (7)) with in vivo data produces significant models (P-values < 1E-4 and 1E-10, respectively). The addition of the availability term () and its statistically significant interaction with the unfolding energy of the target region (ΔG_tf) to the inTherAcc model increases the significance of common parameters seen in (B).