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The binding affinity estimation was not influenced by the partial charge calculation method - for more accurate binding affinity prediction development of a new scoring function for AutoDock is needed.
The advent of these experimental techniques equips TF target gene prediction methods with much more accurate binding specificity models and, indeed, opens a whole new avenue for computational analysis of TF-DNA binding.
Thus our result shows that the separation between these impurity states and the VBM is less than 50% of the data reported by Qu Yue et al. [29] (approximately 0.3 eV), which is due to the fact that we use a larger computational cell, thereby resulting in a more accurate binding energy.
Although the optimization of AutoDock 4 scoring function was outside the scope of the current study, the fact that significantly more accurate protein-ligand complex geometry prediction is achieved using the PM6 method hints at the possibility of more accurate binding energy estimation using PM6 charge calculation as well.
This indicates that PSO+ reported less but more accurate binding sites than GALFP.
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It can be easily combined with TagRes, a tool for target-specific rescoring that allows a more accurate estimation of binding free energies within a specific target family.
Extension of the work presented here should allow future experimental studies of binding specificity to focus on proteins most likely to possess new DNA-binding activities, and will facilitate more accurate inference of DNA-binding data among proteins with related sequences.
We have shown [ 4, 30] that using the physically correct expression for binding probability, with saturation effects built in, leads to a more accurate estimate for the binding energy and provides a practically useful solution to the problem of classifier threshold choice.
We argue that the peak scores provide more accurate approximations of the binding affinities than the methods based on transcription factor occupancy [4], [5].
Indeed it has already been demonstrated that a more accurate model of the binding pocket and better docking of the ligand was achieved for hB2AR when ECL2 was built ab initio rather than using bRHO as a template [41].
In particular, the optimal bandwidth of 100 bp was more accurate in locating constitutive binding sites than the optimal bin width of 400 bp.
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