Binding properties of diethylcarbamazine

Diethylcarbamazine (DEC) reacted with liver cell plasma membrane of rodent hosts-cotton rat, albino rat and Mastomys natalensis exhibiting the presence of both saturable and unsaturable components. The presence of lectins or sugar derivatives did not affect the binding significantly. The drug showed similar binding pattern with serum but the saturation was reached at a much lower concentration of the ligand. Data obtained with a variety of macromolecules, particularly with the homopolymers of amino acids indicate that DEC does not require any specific constituent of the membrane for binding. The nonspecific nature of DEC binding does not provide any convincing clue for the accumulation of microfilariae specifically in the liver following the drug treatment.     

Cytochrome P-450-dependent 14 alpha-demethylation of lanosterol in Candida albicans.

Analysis of receptor-ligand binding characteristics can be greatly hampered by the presence of non-specific binding, defined as low-affinity binding to non-receptor domains which is not saturable within the range of ligand concentrations used. Conventional binding analyses, e.g. according to the methods described by Scatchard or Klotz, relate the amount of specific receptor-ligand binding to the concentration of free ligand, and therefore require assumptions on the amount of non-specific binding. In this paper a method is described for determining the parameters of specific receptor-ligand interaction which does not require any assumption or separate determination of the amount of non-specific binding. If the concentration of labelled free ligand is constant, a plot of Fu/(B0*-B*) versus Fu yields a linear relationship, in the case of a single receptor class, in which Fu is the concentration of unlabelled free ligand, B0* is the total amount of labelled bound ligand in the absence of unlabelled ligand and B* is the total amount of labelled bound ligand in the presence of an unlabelled ligand concentration Fu; all of these data are readily obtained from binding studies. This linear relationship holds irrespective of the amount of non-specific binding, and the values for receptor density, ligand dissociation constant and a constant for non-specific binding can be readily obtained from it. If the concentration of labelled free ligand is not a constant for all data points, data are first converted according to a straightforward normalization procedure to permit the use of this relationship. The presence of multiple receptor classes with dissociation constants in the range of the ligand concentrations used results in a negative deviation from this linearity, and therefore the presence of multiple receptor classes can be discriminated unequivocally from non-specific binding. Both theoretical and practical advantages of the present method are described. The method, which will be referred to as the linear subtraction method, is illustrated using the binding of tumour promoters and polypeptide growth factors to their specific cellular receptors.     

Ligand binding distributions in nucleic acids

We illustrate a new method for the determination of the complete binding polynomial for nucleic acids based on experimental titration data with respect to ligand concentration. From the binding polynomial, one can then calculate the distribution function for the number of ligands bound at any ligand concentration. The method is based on the use of a finite set of moments of the binding distribution function, which are obtained from the titration curve. Using the maximum-entropy method, the moments are then used to construct good approximations to the binding distribution function. Given the distribution functions at different ligand concentrations, one can calculate all of the coefficients in the binding polynomial no matter how many binding sites a molecule has. Knowledge of the complete binding polynomial in turn yields the thermodynamics of binding. This method gives all of the information that can be obtained from binding isotherms without the assumption of any specific molecular model for the nature of the binding. Examples are given for the binding of Mn(2+) and Mg(2+) to t-RNA and for the binding of Mg(2+) and I(6) to poly-C using literature data.     

Mixed Mode of Ligand-DNA Binding Results in S-Shaped Binding Curves

Abstract

S-shaped binding curves often characterize interactions of ligands with nucleic acid molecules as analyzed by different physicochemical and biophysical techniques. S-shaped experimental binding curves are usually interpreted as indicative of the positive cooperative interactions between the bound ligand molecules. This paper demonstrates that S-shaped binding curves may occur as a result of the “mixed mode” of DNA binding by the same ligand molecule. Mixed mode of the ligand-DNA binding can occur, for example, due to 1) isomerization or dimerization of the ligands in solution or on the DNA lattice, 2) their ability to intercalate the DNA and to bind it within the minor groove in different orientations. DNA- ligand complexes are characterized by the length of the ligand binding site on the DNA lattice (so-called “multiple-contact” model). We show here that if two or more complexes with different lengths of the ligand binding sites could be produced by the same ligand, the dependence of the concentration of the complex with the shorter length of binding site on the total concentration of ligand should be S-shaped. Our theoretical model is confirmed by comparison of the calculated and experimental CD binding curves for bis-netropsin binding to poly(dA-dT) poly(dA-dT). Bis-netropsin forms two types of DNA complexes due to its ability to interact with the DNA as monomers and trimers. Experimental S-shaped bis-netropsin-DNA binding curve is shown to be in good correlation with those calculated on the basis of our theoretical model. The present work provides new insight into the analysis of ligand-DNA binding curves.     

Binding characteristics of progesterone and antiprogestin ZK 98.299 in human endometrial and myometrial cytosol

The binding of ZK 98.299, a synthetic progesterone antagonist, with human endometrium and myometrium cytosol was studied and compared with that of progesterone. Progesterone showed specific saturable binding to its receptors in both endometrium and myometrium. ZK 98.299 and progesterone were mutually competitive for binding to progesterone receptors; however, the relative binding affinity of ZK 98.299 was 16% that of progesterone. ZK 98.299 exchanged the progesterone-labelled receptor sites. [3H]ZK 98.299 showed specific binding which was linearly related to the cytosol protein concentration. The binding was not saturable at 15 nM of ligand. The binding capacity and binding affinity of ZK 98.299 receptor was less than that of progesterone. Progesterone also partially displaced the binding of [3H]ZK 98.299. This study suggest that ZK 98.299 and progesterone both bind to the same protein. However, whether ZK 98.299 binds to progesterone receptors alone or even to other functionally related sites is not known. It appears that ZK 98.299 when present in higher concentration than progesterone would be an effective receptor ligand.     

Validation of an Allosteric Binding Site of Src Kinase Identified by Unbiased Ligand Binding Simulations

Allostery plays a primary role in regulating protein activity, making it an important mechanism in human disease and drug discovery. Identifying allosteric regulatory sites to explore their biological significance and therapeutic potential is invaluable to drug discovery; however, identification remains a challenge. Allosteric sites are often “cryptic” without clear geometric or chemical features. Since allosteric regulatory sites are often less conserved in protein kinases than the orthosteric ATP binding site, allosteric ligands are commonly more specific than ATP competitive inhibitors. We present a generalizable computational protocol to predict allosteric ligand binding sites based on unbiased ligand binding simulation trajectories. We demonstrate the feasibility of this protocol by revisiting our previously published ligand binding simulations using the first identified viral proto-oncogene, Src kinase, as a model system. The binding paths for kinase inhibitor PP1 uncovered three metastable intermediate states before binding the high-affinity ATP-binding pocket, revealing two previously known allosteric sites and one novel site. Herein, we validate the novel site using a combination of virtual screening and experimental assays to identify a V-type allosteric small-molecule inhibitor that targets this novel site with specificity for Src over closely related kinases. This study provides a proof-of-concept for employing unbiased ligand binding simulations to identify cryptic allosteric binding sites and is widely applicable to other protein–ligand systems.     

Determination of protein-ligand binding constants at equilibrium in biological samples.

Protein-ligand complexes can be separated functionally into two classes. "Specific" binding is characterized, in relative terms, by a high affinity for the ligand and a low binding capacity. "Non-specific" binding is characterized by a low affinity and a very large capacity. The calculation of equilibrium binding constants for any specific protein-ligand interaction requires the exact determination of the unbound ligand concentration and the specifically bound ligand concentration. These determinations usually require corrections for the contribution of non-specific binding. The use of two correction terms, kn and f, is proposed: kn is the product of the affinity constant k times the number of binding sites n of the non-specific components, while f is the fraction of the non-specific binding included in the experimental estimates of bound ligand. Several theoretical solutions using these terms are proposed for the calculation of specific binding constants. The practical choice of the correction factor may be different when the simultaneous measurement of the affinity constant and maximum number of binding sites, or when only the latter, is desired. In the case of complex binding systesm containing more than one specific component, the individual constants can be determined by non-graphical methods, using computer-aided iterative statistical calculations. A complete solution is given for a system containing two specific plus non-specific interactions and actual experiments are reported for steroid hormone-receptro complexes.     

Binding Pocket Optimization by Computational Protein Design

Engineering specific interactions between proteins and small molecules is extremely useful for biological studies, as these interactions are essential for molecular recognition. Furthermore, many biotechnological applications are made possible by such an engineering approach, ranging from biosensors to the design of custom enzyme catalysts. Here, we present a novel method for the computational design of protein-small ligand binding named PocketOptimizer. The program can be used to modify protein binding pocket residues to improve or establish binding of a small molecule. It is a modular pipeline based on a number of customizable molecular modeling tools to predict mutations that alter the affinity of a target protein to its ligand. At its heart it uses a receptor-ligand scoring function to estimate the binding free energy between protein and ligand. We compiled a benchmark set that we used to systematically assess the performance of our method. It consists of proteins for which mutational variants with different binding affinities for their ligands and experimentally determined structures exist. Within this test set PocketOptimizer correctly predicts the mutant with the higher affinity in about 69% of the cases. A detailed analysis of the results reveals that the strengths of PocketOptimizer lie in the correct introduction of stabilizing hydrogen bonds to the ligand, as well as in the improved geometric complemetarity between ligand and binding pocket. Apart from the novel method for binding pocket design we also introduce a much needed benchmark data set for the comparison of affinities of mutant binding pockets, and that we use to asses programs for in silico design of ligand binding.     

Binding of specific ligand by linearly associating enzyme system

The binding of specific ligand by linearly associating enzyme system M in equilibrium to M2 in equilibrium to M3 in equilibrium... has been discussed. It is assumed that ligand is bound in the region of the contact of monomers and free monomer retains the subsites for specific ligand binding. The character of the dependences of the amount of bound ligand on enzyme and ligand concentrations and the influence of specific ligand on the distribution between oligomeric enzyme forms have been analysed. The high concentrations of specific ligand provoke the dissociation of enzyme oligomers because of occupation of both subsites in monomeric form. The situation is discussed when a specific ligand is the substrate which is converted to the product in an intact binding site located in the region of the contact of monomers. The inhibitory effect of high substrate concentrations has been interpreted, taking into account the blocking of the association of inactive monomers into active oligomers.     

Binding of lipoproteins to inert materials revisited with computer-assisted analysis

A number of studies conducted in the last decade showed that saturable ('specific') binding, by itself, does not necessarily imply biological significance. That is, biological ligands were shown to bind to inert materials as well as to biological receptors in a saturable manner. In these studies specific binding was operationally defined as binding that was displaceable by excess concentrations of unlabeled ligand. This method of measuring specific binding is now no longer considered optimal. To investigate whether optimal (computer-assisted) techniques of measuring specific binding--namely, nonlinear least-squares curve fitting of total binding data, with mathematical separation of the total binding into its various components--might ensure biological significance of measured specific binding, we studied the binding of high-density lipoproteins (HDL3) to tissue culture dishes as an example of binding without biological significance. This binding closely followed the paradigm of a ligand interacting with a class of homogeneous, saturable sites and with a class of relatively unsaturable sites, just as it would have if the HDL3 were interacting with an unpurified biological receptor. This finding indicates that computer-assisted analysis, while most accurately describing binding data, nevertheless does not ensure that measured specific binding has biological significance. Saturability is such a nonselective feature of equilibrium binding data that it should probably no longer be considered one of the criteria for deciding whether or not a defined binding site is a receptor.     

A Method for Dissecting Two Site Receptor Interactions in Ligand Binding Studies

Abstract

A general model has been developed describing the relationship between the measured (IC₅₀) and absolute affinities (K_I), observed in radioligand binding studies when two ligands, one radioactive, interact with two receptors or binding sites. The model shows the dependence of the IC₅₀'s upon the concentration of radioligand for any combinations of the absolute affinities of the radioligand (K_d's) and the displacing ligand (K_I's). By constraining the affinities of the two ligands for the sites, five special cases of the general model can be described that model all possible 'selectivities' the ligands may have for the sites. The properties of these five cases can be exploited experimentally to probe the nature of the ligand/site interactions by the simple expedient of constructing a number of displacement curves at different radioligand concentrations. The method has been tested experimentally in three situations where two ligand/two site interactions occur, and is shown to be a useful technique to qualitatively examine the underlying binding reactions.     

NMR Studies Reveal the Role of Biomembranes in Modulating Ligand Binding and Release by Intracellular Bile Acid Binding Proteins

Bile acid molecules are transferred vectorially between basolateral and apical membranes of hepatocytes and enterocytes in the context of the enterohepatic circulation, a process regulating whole body lipid homeostasis. This work addresses the role of the cytosolic lipid binding proteins in the intracellular transfer of bile acids between different membrane compartments. We present nuclear magnetic resonance (NMR) data describing the ternary system composed of the bile acid binding protein, bile acids, and membrane mimetic systems, such as anionic liposomes. This work provides evidence that the investigated liver bile acid binding protein undergoes association with the anionic membrane and binding-induced partial unfolding. The addition of the physiological ligand to the protein-liposome mixture is capable of modulating this interaction, shifting the equilibrium towards the free folded holo protein. An ensemble of NMR titration experiments, based on nitrogen-15 protein and ligand observation, confirm that the membrane and the ligand establish competing binding equilibria, modulating the cytoplasmic permeability of bile acids. These results support a mechanism of ligand binding and release controlled by the onset of a bile salt concentration gradient within the polarized cell. The location of a specific protein region interacting with liposomes is highlighted.     

Binding of ionic ligands to polyelectrolytes.

Ionic ligands can bind to polyelectrolytes such as DNA or charged polysaccharides. We develop a Poisson-Boltzmann treatment to compute binding constants as a function of ligand charge and salt concentration in the limit of low ligand concentration. For flexible chain ligands, such as oligopeptides, we treat their conformations using lattice statistics. The theory predicts the salt dependence and binding free energies, of Mg(2+) ions to polynucleotides, of hexamine cobalt(III) to calf thymus DNA, of polyamines to T7 DNA, of oligolysines to poly(U) and poly(a), and of tripeptides to heparin, a charged polysaccharide. One parameter is required to obtain absolute binding constants, the distance of closest separation of the ligand to the polyion. Some, but not all, of the binding entropies and enthalpies are also predicted accurately by the model.     

Accounting for Ligand Conformational Restriction in Calculations of Protein-Ligand Binding Affinities

The conformation adopted by a ligand on binding to a receptor may differ from its lowest-energy conformation in solution. In addition, the bound ligand is more conformationally restricted, which is associated with a configurational entropy loss. The free energy change due to these effects is often neglected or treated crudely in current models for predicting binding affinity. We present a method for estimating this contribution, based on perturbation theory using the quasi-harmonic model of Karplus and Kushick as a reference system. The consistency of the method is checked for small model systems. Subsequently we use the method, along with an estimate for the enthalpic contribution due to ligand-receptor interactions, to calculate relative binding affinities. The AMBER force field and generalized Born implicit solvent model is used. Binding affinities were estimated for a test set of 233 protein-ligand complexes for which crystal structures and measured binding affinities are available. In most cases, the ligand conformation in the bound state was significantly different from the most favorable conformation in solution. In general, the correlation between measured and calculated ligand binding affinities including the free energy change due to ligand conformational change is comparable to or slightly better than that obtained by using an empirically-trained docking score. Both entropic and enthalpic contributions to this free energy change are significant.     

Ligand Binding Mechanics of Maltose Binding Protein

In the past decade, single-molecule force spectroscopy has provided new insights into the key interactions stabilizing folded proteins. A few recent studies probing the effects of ligand binding on mechanical protein stability have come to quite different conclusions. While some proteins seem to be stabilized considerably by a bound ligand, others appear to be unaffected. Since force acts as a vector in space, it is conceivable that mechanical stabilization by ligand binding is dependent on the direction of force application. In this study, we vary the direction of the force to investigate the effect of ligand binding on the stability of maltose binding protein (MBP). MBP consists of two lobes connected by a hinge region that move from an open to a closed conformation when the ligand maltose binds. Previous mechanical experiments, where load was applied to the N and C termini, have demonstrated that MBP is built up of four building blocks (unfoldons) that sequentially detach from the folded structure. In this study, we design the pulling direction so that force application moves the two MBP lobes apart along the hinge axis. Mechanical unfolding in this geometry proceeds via an intermediate state whose boundaries coincide with previously reported MBP unfoldons. We find that in contrast to N-C-terminal pulling experiments, the mechanical stability of MBP is increased by ligand binding when load is applied to the two lobes and force breaks the protein-ligand interactions directly. Contour length measurements indicate that MBP is forced into an open conformation before unfolding even if ligand is bound. Using mutagenesis experiments, we demonstrate that the mechanical stabilization effect is due to only a few key interactions of the protein with its ligand. This work illustrates how varying the direction of the applied force allows revealing important details about the ligand binding mechanics of a large protein.     

Binding of lipophorin to the fat body of the migratory locust

The interaction of locust high density lipophorin (HDLp) with pieces of fat body tissue was studied at 33°C using a radiolabelled ligand binding assay. Under the assay conditions, binding of tritium-labelled HDLp ([³H]HDLp) was demonstrated to correlate linearly with tissue concentration up to ∼ 7 mg of fat body protein per ml of incubation medium. The [³H]HDLp binding that was displaceable by a 20-fold excess of unlabelled HDLp (which is an approximation of the specific binding) reached equilibrium after ∼ 2 h, whereas low levels of non-displaceable binding increased linearly during this time interval. Analysis of the concentration dependent total binding of [³H]HDLp revealed the presence of a specific binding site with an equilibrium dissociation constant of K_d = 3.1 (±0.5) × 10⁻⁷ M and a maximal binding capacity of 9.8 (±0.5) ng μg⁻¹ tissue protein. Competition experiments demonstrated that the affinity of unlabelled HDLp for the binding site is similar to the affinity of [³H]HDLp. Unlabelled low density lipophorin (LDLp), however, was shown to have an approx. 20-fold lower affinity for the binding site.     

A simple method for the determination of affinity and binding site concentration in receptor binding studies.

In ligand binding studies, it is often difficult to apply kinetic analyses because of an uncertainty in experimental data obtained at high ligand concentrations. Under such circumstances, Kd value (an index of the affinity) and the binding site concentration may be estimated more accurately from the binding of a fixed concentration of labelled ligand observed in the presence of various concentrations of the non-labelled ligand, if the fraction of both labelled and non-labelled ligand bound is small. When there is no cooperative effect of the ligand binding, the Kd value may be calculated by subtracting the concentration of the labelled drug from the concentration of the non-labelled drug to cause a 50% reduction of the saturable binding of the labelled drug. From above values, the binding site concentration may be calculated. The proposed method is capable of examining the cooperativity of the ligand binding, the labelled drug concentration and the specific radioactivity of the labelled drug and does not require large amounts of the labelled drug.     

A universal thermodynamic approach to analyze biomolecular binding experiments

Binding processes of any kind can be characterized as an association of a given ligand with some binding factor. This includes macromolecules as well as supramolecular aggregates such as micelles or membranes. The underlying molecular binding mechanism may be more or less complicated due to various intermediate steps (involving for instance conformational changes, aggregation, cooperativity, etc.). A sensible discussion of possible binding models naturally calls for a model-independent access to basic thermodynamic properties. The present contribution will demonstrate how this can quite generally be accomplished by a pertinent processing of properly selected experimental data. The method requires a series of titration measurements comprising the use of variable amounts of both the ligand and the binding factor. It leads to a linear mass conservation plot (i.e. amount of the ligand vs. a matching amount of the binding factor) whose slope and ordinate intercept are equal to the binding ratio (i.e. bound ligand per binding factor) and the free ligand concentration, respectively. This establishes the specific binding isotherm. The approach also reveals latent structurally determined features of the applied physical measuring signal. A number of examples including specific binding, unspecific adsorption and insertion in two-dimensional molecular films will illustrate the methodology.     

Binding of soluble type I collagen molecules to the fibroblast plasma membrane.

Soluble 125I-labeled type I collagen binds to cultured fibroblasts but not to cultured epithelia. The binding of the ligand to fibroblasts is reversible, saturable and highly specific for sequences contained within the helical portions of the alpha1 and alpha2 chains. The amount of ligand bound is dependent upon cell number and ligand concentration. Binding is decreased but measurable at 4 degrees C. The steady state binding is greater at 26 degrees than at 37 degrees C due to a more rapid dissociation of the ligand-acceptor complex at 37 degrees C. The half-life of the complex is 46 min at 37 degrees C and approximately 2.5 hr at 26 degrees C. Scatchard plots of binding data indicate a single class of high affinity binding sites (KD = 1.2 X 10(-11) M) with each fibroblast binding approximately 500,000 molecules at saturation. Pretreatment of fibroblasts with bacterial collagenase, chondroitinase ABC or testicular hyaluronidase does not affect the binding reaction, whereas pretreatment of the cells with phospholipase C increases the amount of ligand bound. Ligand binding is decreased but not abolished after fibroblasts are treated with trypsin concentrations which remove surface fibronectin. Fibroblast monolayers treated with antiserum against fibronectin bind the radiolabeled ligand normally. In contrast to collagen, addition of excess fibronectin does not accelerate the dissociation of bound ligand from fibroblasts. Possible functions for surface-bound collagen are discussed.     

Two simple methods for quantifying low-affinity dye-substrate binding

Binding with low-affinity ligands, such as histological dyes, can be difficult to quantitate owing to the dissociation of bound ligand with washing or the retention of nonspecifically bound ligand because of incomplete washing. The present report describes two simple, rapid methods of discriminating bound from free ligand without the need for washing steps. One method is based on the spectral changes induced in a dye ligand, Congo red, on binding to the "receptor" insulin fibrils. This method discriminates spectrophotometrically between bound and free ligand without requiring any physical separation of the two forms. No radioactive ligands are necessary, and, by using disposable cuvettes, the entire binding assay can be done in a single container without the need for transfers. The second method employs a non-traditional filtration approach that avoids the need for a washing step by measuring the decrease in concentration of the dye ligand in the filtrate rather than by applying the usual approach of measuring the absolute amount of ligand bound to the precipitated "receptor." Both methods show saturation of binding sites and give similar values for the KD and Bmax.