Sentence examples for binding sites were calculated from inspiring English sources

Binding free energies of probes that bind strongly to the RNA at the predicted binding sites and potential alternative binding sites were calculated at 4, 22, and 37 °C using the nearest neighbor model and 2′- O-methyl RNA/RNA parameters with bonuses for LNA modifications (37− 40).

The quenching rate constants, binding constants, and number of binding sites were calculated in the presence of CSB.

Dissociation constants and concentration of binding sites were calculated using the LIGAND program [56].

Expected numbers of binding sites were calculated by counting the total number of binding sites within the high-scoring regions divided by the total number of high-scoring regions for each transcription factor.

The binding affinities for the primary and secondary binding sites were calculated by globally fitting the chemical shift changes of the protein backbone resonances (both H and N) as a function of the molar ratio of RNA-to-protein.

Nucleosome distribution profiles surrounding the transcription factor binding sites were calculated in the same manner except that the center of the binding sites was used as the reference point.

The cavity volume at the binding sites was calculated, using DS (Binding Site module) for the coordinates obtained from protein data bank (c-Src, PDB ID: 1YOL, 1Y57, 1FMK, 2H8H and for c-Abl, PDB ID: 1M52 and 2FO0).

Then, the nucleosome occupancy surrounding the binding sites was calculated.

The number of ADP binding sites was calculated.

For the 25TAC inhibitor, the number of binding sites was calculated to be 36 [2 × (25 – 8 + 1) = 36].

The correlations between TF abundance and DNA methylation at their binding sites are calculated with Spearman rank correlation and therefore the P-values are expected to behave appropriately.