In biochemistry and pharmacology, a ligand (from the Latin ligandum, binding) is a substance (usually a small molecule), that forms a complex with a biomolecule to serve a biological purpose. In protein-ligand binding, ligand usually is a signal triggering molecule, binding to a site on a target protein. In DNA-ligand binding studies, ligand is usually any small molecule or ion, or even a protein  that binds to the DNA double helix.
The binding occurs by intermolecular forces, such as ionic bonds, hydrogen bonds and van der Waals forces. The docking (association) is usually reversible (dissociation). Actual irreversible covalent bonding between a ligand and its target molecule is rare in biological systems. In contrast to the meaning in metalorganic and inorganic chemistry, it is irrelevant whether the ligand actually binds at a metal site, as is the case in hemoglobin.
Ligand binding to a receptor (receptor protein) alters its chemical conformation (three dimensional shape). The conformational state of a receptor protein determines its functional state. Ligands include substrates, inhibitors, activators, and neurotransmitters. The tendency or strength of binding is called affinity. Binding affinity is determined not only by direct interactions, but also by solvent effects that can play a dominant indirect role in driving non-covalent binding in solution.
Receptor/ligand binding affinity
The interaction of most ligands with their binding sites can be characterized in terms of a binding affinity. In general, high-affinity ligand binding results from greater intermolecular force between the ligand and its receptor while low-affinity ligand binding involves less intermolecular force between the ligand and its receptor. In general, high-affinity binding involves a longer residence time for the ligand at its receptor binding site than is the case for low-affinity binding. High-affinity binding of ligands to receptors is often physiologically important when some of the binding energy can be used to cause a conformational change in the receptor, resulting in altered behavior of an associated ion channel or enzyme.
A ligand that can bind to a receptor, alter the function of the receptor and trigger a physiological response is called an agonist for that receptor. Agonist binding to a receptor can be characterized both in terms of how much physiological response can be triggered and in terms of the concentration of the agonist that is required to produce the physiological response. High-affinity ligand binding implies that a relatively low concentration of a ligand is adequate to maximally occupy a ligand-binding site and trigger a physiological response. The lower the Ki level is, the more likely their will be a chemical reaction between the pending ion and the receptive antigen. Low-affinity binding (high Ki level) implies that a relatively high concentration of a ligand is required before the binding site is maximally occupied and the maximum physiological response to the ligand is achieved. In the example shown to the right, two different ligands bind to the same receptor binding site. Only one of the agonists shown can maximally stimulate the receptor and, thus, can be defined as a "full agonist". An agonist that can only partially activate the physiological response is called a "partial agonist". Ligands that bind to a receptor but fail to activate the physiological response are receptor "antagonists". In this example, the concentration at which the full agonist (red curve) can half-maximally activate the receptor is about 5 x 10−9 Molar (nM = nanomolar).
In the example shown to the left, ligand-binding curves are shown for two ligands with different binding affinities. Ligand binding is often characterized in terms of the concentration of ligand at which half of the receptor binding sites are occupied, known as the IC50 http://en.wikipedia.org/wiki/IC50, which is related to but different from the dissociation constant. The ligand illustrated by the red curve has a higher binding affinity and smaller Kd than the ligand illustrated by the green curve. If these two ligands were present at the same time, more of the higher-affinity ligand would be bound to the available receptor binding sites. This is how carbon monoxide can compete with oxygen in binding to hemoglobin, resulting in carbon monoxide poisoning.
Binding affinity is most commonly determined using a radiolabeled ligand, known as hot ligand. Homologous competitive binding experiments involve binding-site competition between a hot ligand and a cold ligand (untagged ligand). Non labelled methods such as surface plasmon resonance and dual polarisation interferometry can also quantify the affinity from concentration based assays but also from the kinetics of association and dissociation, and, in the later case, the conformational change induced upon binding. Recently, Microscale Thermophoresis (MST), an immobilization-free method was developed. This method allows the determination of the binding affinity without any limitation to the ligand's molecular weight.
Drug potency and binding affinity
Binding affinity data alone does not determine the overall potency of a drug. Potency is a result of the complex interplay of both the binding affinity and the ligand efficacy. Ligand efficacy refers to the ability of the ligand to produce a biological response upon binding to the target receptor and the quantitative magnitude of this response. This response may be as an agonist, antagonist, or inverse agonist, depending on the physiological response produced. There are two main differences between binding and functional experiments: Functional responses are usually highly amplified translations of receptor stimulus. Therefore, while binding signals emanate from complete receptor populations, functional readouts often utilize only a small fraction of the receptor population in the preparation. This can lead to a greatly increased sensitivity to drugs that possess efficacy. No differences should be seen for antagonists. This amplification can be especially important for the detection of agonism, since potency may be more a function of ligand efficacy than affinity. Thus, a highly efficacious agonist may produce detectable responses at 100 to l,000 times lower concentrations than those that produce measurable amounts of displacement of a tracer in binding studies. The complex interplay between affinity and efficacy can be misleading in structure activity studies for agonists. For example. Figure 5.1 shows the lack of correlation of relative agonist potency for two dopamine receptor subtypes and the binding affinity on those receptor subtypes for a series of dopamine agonists. This data show that, for these molecules, changes in chemical structure lead to changes in relative efficacy not reflected in the affinity measurement. The relevant activity is relative agonist potency. Therefore, the affinity data are misleading. In this case, a functional assay is the correct approach for optimization of these molecules.
Selective and non-selective
Selective ligands have a tendency to bind to a very limited types of receptors, whereas non-selective ligands bind to several types of receptors. This plays an important role in pharmacology, where drugs that are non-selective tend to have more adverse effects, because they bind to several other receptors in addition to the one generating the desired effect.
Bivalent ligands consist of two connected molecules as ligands, and are used in scientific research to detect receptor dimers and to investigate their properties. Bivalent ligands are usually large and tend not to be ‘drug-like’, limiting their applicability in clinical settings. See Lipinski’s rule of five.
- BindingDB, a public database of measured protein-ligand binding affinities.
- BioLiP, a comprehensive database for ligand-protein interactions.
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- Teif V.B. (2005). "Ligand-induced DNA condensation: choosing the model". Biophysical Journal 89 (4): 2574–2587. doi:10.1529/biophysj.105.063909. PMC PMC1366757. PMID 16085765.
- Teif VB, Rippe K. (2010). "Statistical-mechanical lattice models for protein-DNA binding in chromatin.". Journal of Physics: Condensed Matter 22 (41): 414105. doi:10.1088/0953-8984/22/41/414105. PMID 21386588.
- Baron, Riccardo; Setny, Piotr; Andrew Mccammon, J. (2010). "Water in Cavity-Ligand Recognition". Journal of the American Chemical Society 132 (34): 12091–12097. doi:10.1021/ja1050082. PMC 2933114. PMID 20695475.
- See Homologous competitive binding curves, A complete guide to nonlinear regression, curvefit.com.
- Baaske P, Wienken CJ, Reineck P, Duhr S, Braun D (Feb 2010). "Optical Thermophoresis quantifies Buffer dependence of Aptamer Binding". Angew. Chem. Int. Ed. 49 (12): 1–5. doi:10.1002/anie.200903998. PMID 20186894. Lay summary – Phsyorg.com.
- Wienken CJ et al. (2010). "Protein-binding assays in biological liquids using microscale thermophoresis". Nature Communications 1 (7): 100. Bibcode:2010NatCo...1E.100W. doi:10.1038/ncomms1093. PMID 20981028.
- Vu-Quoc, L., , 2011.
- Kenakin, Terrance P. (November 2006). A pharmacology primer: theory, applications, and methods. Academic Press. p. 79. ISBN 978-0-12-370599-0.
- Shonberg, Jeremy; Scammells, Peter J.; Capuano, Ben (June 2011). "Design strategies for bivalent ligands targeting GPCRs". ChemMedChem 6 (6): 963–74. doi:10.1002/cmdc.201100101. PMID 21520422.
- Berque-Bestel, I; Lezoualc'h, F; Jockers, R (December 2008). "Bivalent ligands as specific pharmacological tools for G protein-coupled receptor dimers". Curr Drug Discov Technol 5 (4): 312–8. doi:10.2174/157016308786733591. PMID 19075611.