2017
DOI: 10.1038/s41598-017-05896-8
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Concentration-Dependent Binding of Small Ligands to Multiple Saturable Sites in Membrane Proteins

Abstract: Membrane proteins are primary targets for most therapeutic indications in cancer and neurological diseases, binding over 50% of all known small molecule drugs. Understanding how such ligands impact membrane proteins requires knowledge on the molecular structure of ligand binding, a reasoning that has driven relentless efforts in drug discovery and translational research. Binding of small ligands appears however highly complex involving interaction to multiple transmembrane protein sites featuring single or mul… Show more

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Cited by 19 publications
(28 citation statements)
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References 29 publications
(38 reference statements)
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“…Hence, the equilibrium constant for the process of bringing the ligand from the bulk into the bound state (s1, s2) can be solved by means of an MD/FEP approach. 38 The method requires a harmonic potential coupled to the ligand to guarantee that it is restrained to occupy the effective volume centered at the receptor binding site R *; the restraint k exerts no force when the ligand center of mass is within a distance R from the equilibrium position and exerts a harmonic restoring force when the ligand center of mass is out of this range. In our case, force constants were estimated from the root-mean-square fluctuation of docking solutions.…”
Section: Computational Methodsmentioning
confidence: 99%
“…Hence, the equilibrium constant for the process of bringing the ligand from the bulk into the bound state (s1, s2) can be solved by means of an MD/FEP approach. 38 The method requires a harmonic potential coupled to the ligand to guarantee that it is restrained to occupy the effective volume centered at the receptor binding site R *; the restraint k exerts no force when the ligand center of mass is within a distance R from the equilibrium position and exerts a harmonic restoring force when the ligand center of mass is out of this range. In our case, force constants were estimated from the root-mean-square fluctuation of docking solutions.…”
Section: Computational Methodsmentioning
confidence: 99%
“…PositionDependent Probability Densities. As demonstrated in reference (Stock et al, 2017), statedependent probabilities ρ X (n 1 ,... ,n s ) for channel structures X ≡{C , O} can be mapped into the probability density ρ X (R) of any given ligand i to occupy position R in the system (regardless the position of the remaining N −1 ligands). Given our original consideration that the reservoir is a homogeneous volume occupied by ligands with positionindependent density ρ , the probability ρ X (R) simplifies to…”
Section: Methodsmentioning
confidence: 99%
“…Under these considerations, solution of ligand binding to multiple receptor sites relies fundamentally in determining the equilibrium constant Κ X (n 1, ... , n s ) for the process O X * (0 1 , ... ,0 s )+n L ⇔O X * (n 1 , ... ,n s ) where, O X * (0 1 , ... ,0 s ) is the empty receptor state with all ligands occupying the bulk. As shown in previous work (Stock et al, 2017), Κ X (n 1 ,... ,n s ) can be evaluated from MDbased free energy perturbation (FEP) calculations…”
Section: Theorymentioning
confidence: 99%
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“…This is in agreement with recent work suggesting that small agonists do bind in a concentration-dependent manner in order to enhance their affinity as has been reported in the voltage-gated Kv1.2 ion channel. 71 This can be partly explained due to their size, smaller than capsaicin, and their promiscuous binding poses.…”
Section: F516 (Supplementary Materials Figurementioning
confidence: 99%