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6 de ago. de 2020 · An equilibrium dissociation constant is the ratio of dissociation and binding rate constants (K D = k off k on), and thus can be determined by directly measuring these rate constants. Because k off is concentration-independent, it is the easiest and most robust parameter to measure.
26 de ene. de 2016 · This process has two important defining characteristics: (i) specificity, which distinguishes the highly specific binding partner from less specific partners; (ii) affinity, which determines that a high concentration of weakly interacting partners cannot replace the effect of a low concentration of the specific partner interacting with high affi...
1 de ene. de 2023 · Repeat steps 1 and 2 at least 2–3 times and evaluate statistically. A major goal during drug discovery, for example, is to identify molecules that bind with a much higher affinity than, say, a natural ligand or an inhibitor already known to bind the target of interest.
23 de may. de 2022 · We show that ProBound quantifies transcription factor (TF) behavior with models that predict binding affinity over a range exceeding that of previous resources; captures the impact of DNA...
1 de dic. de 2010 · The aim of binding assays is to measure interactions between two molecules, such as a protein binding another protein, a small molecule, or a nucleic acid. Hard work is required to prepare reagents, but flaws in the design of many binding experiments limit the information obtained.
6 de ene. de 2011 · For a binary complex, the binding affinity translates in physical–chemical terms into an equilibrium dissociation constant ( Kd ), which may be measured at equilibrium or derived from the reaction kinetics, and the related Gibbs free energy of dissociation Δ G. Kd measurements have been performed on many protein–protein complexes that also have ...
19 de oct. de 2023 · Nature Computational Science - A physics-informed deep learning model, PBCNet, is proposed for predicting the relative binding affinity of ligands in order to improve guiding structure-based...
