Sentence examples for binding affinities with a from inspiring English sources
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].
We used rigorous free-energy perturbation (FEP) methods to calculate the antigen-antibody binding affinities, with an aggregate underlying molecular-dynamics simulation time of several microseconds (∼2 μs) using all-atom, explicit-solvent models.
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.
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.
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.
To investigate if these findings could be applied to improve the in silico identification of MHC class II ligands, a simple model was created which integrated the MHC-II binding affinity with a structural feature or surface exposure as described by Eq.(1).
This model predicts that each subfamily has a characteristic structure and mode of determining binding affinity with a ligand.
