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Analysis of the results from this experiment (Table 2) revealed that the N32D mutation caused the greatest increase in ATP binding affinity, with a Kd of 360 nM, relative to protein 18-19, which binds ATP with a Kd of 1100 nM.
Among the analogues, 13c exhibited the most potent binding affinity with a Ki = 0.7 μM.
iLOVN468S exhibited an improved binding affinity with a dissociation constant of 1.5 μM.
Among the synthesized compounds, N-2′-chlorobiphenylylmethyl 2-methoxyphenylpiperazinylpentanamide 1 8 showed the best binding affinity with a Ki value of 8.69 nM and it was verified as a novel antagonist according to functional assays.
In addition the substitution analysis indicated which amino acids were most preferred at anchor residues in the lead peptide, generally leading to an increase of binding affinity with a factor of 2. Next we tested which combinations of such preferred amino acids yielded the best results.
The average affinity of a drug/target captures their typical binding behavior, which is valuable to predict the binding affinity with a specific target/drug.
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These models predicted human corticotropin releasing factor-1 receptor binding affinity with an accuracy of ≥85%.
The results of the saturation curves imply that ATP accessibility to the single-stranded region is critical to the experimentally measured binding affinity with an observed tunability over 4 orders of magnitude.
MM/PBSA is a popular method to calculate absolute binding affinities with a modest computational effort.
We also were the first to estimate binding affinities with a high-level QM method with large basis set for which dispersion and polarization are treated properly [52].
The HRDC domain is responsible for regulating DNA-binding affinity with a wide variety of DNA substrates [ 5].
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