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Because of the complexity of 3d-transition metals, we investigated the binding energies using a variety of approximate exchange-correlation (XC) functionals as benchmark.
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The DISCORE program gives a greater range of binding energies using k i coefficients found in the fitting procedure.
Figure 1 Correlation between experimental and predicted binding energies using Gasteiger and PM6 charge calculations.
Interestingly, Yeo and co-workers reported a linear correlation between TOFs for the HER and the percentage of S species with higher electron binding energies using X-ray photoelectron spectroscopy (XPS) (Fig. 5c) [5c].
To perform a ligand-receptor docking experiment, the software accepts as inputs ligand and macromolecule coordinates, and then utilizes the LGA to generate ligand positions and minimize binding energies using precalculated pairwise potential grid maps [10].
The interaction parameters were determined in term of binding energy of complexes and the geometry optimization, frequency of the structures and calculation of binding energies using density functional approaches B3LYP and the 6-31G d,p) basis set.
To do this, we calculated the binding energies using only the n lowest energy conformations (n = 1,..,11) for each peptide.
Considering the problem more quantitatively, we employed the software to calculate the binding energies using the molecular mechanics (MM+) method and then using the semi-empirical mechanic (PM3) method.
Compounds which display activity, their IC50 values, and also calculated binding energies using programs SOL, DISCORE, and MOPAC are presented in Table S2 in Supplementary Materials, and the some characteristic representatives are presented in Table 7.
In the cases when there were no gaps in the alignment, the extracted S. typhimurium sequence could be assigned an estimated binding energy using either a weight matrix or a QPMEME energy matrix.
Here, we report the results of an extensive study on a series of 28 inhibitors of aldose reductase with experimentally determined crystal structures and inhibitory activities, in which we evaluate the ability of MM-PBSA and MM-GBSA methods in predicting binding free energies using a number of different simulation conditions.
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