Kinetics Of Molecular Interactions Research Articles

Effects of molecular interaction and liver sinusoidal mechanical properties on leukocyte adhesions

It is interesting to find pathologically that leukocytes, especially neutrophils, tend to adhere in the liver sinusoids dominantly but not in the post-sinusoidal venules. While both views of receptor-ligand interactions and physical trapping are proposed for mediating leukocyte adhesion in liver sinusoids, integrated investigations for classifying their respective contributions are poorly presented. With a combination of Monte Carlo simulation and immersed boundary method (IBM), this study explored numerically the effects of molecular interaction kinetics and sinusoidal mechanical properties on leukocyte adhesion in liver sinusoid jointly. Results showed that, within the range of biological limitations, the lumen stenosis ratio, leukocyte stiffness, Disse space stiffness and endothelium permeability regulate the comprehensive adhesion process in a descending order of significance in the presence of receptor-ligand interactions. While leukocyte adhesions could be mutually promoted with proper combinations of leukocyte stiffness, lumen stenosis, and molecular interaction, the binding affinity is insensitive under the conditions with low leukocyte stiffness in normal lumen stenosis and high leukocyte stiffness in high lumen stenosis. This work deepened the understanding of recruitment mechanism of leukocyte in liver sinusoids.

Biophysical and functional characterization of N-terminal domain of Human Interferon Regulatory Factor 6.

Interferon regulatory factor 6 (IRF6) has a key function in palate fusion during palatogenesis during embryonic development, and mutations in IRF6 cause orofacial clefting disorders. The in silico analysis of IRF6 is done to obtain leads for the domain boundaries and subsequently the sub-cloning of the N-terminal domain of IRF6 into the pGEX-2TK expression vector and successfully optimized the overexpression and purification of recombinant glutathione S-transferase-fused NTD-IRF6 protein under native conditions. After cleavage of the GST tag, NTD-IRF6 was subjected to protein folding studies employing Circular Dichroism and Intrinsic fluorescence spectroscopy at variable pH, temperature, and denaturant. CD studies showed predominantly alpha-helical content and the highest stability of NTD-IRF6 at pH 9.0. A comparison of native and renatured protein depicts loss in the secondary structural content. Intrinsic fluorescence and quenching studies have identified that tryptophan residues are majorly present in the buried areas of the protein and a small fraction was on or near the protein surface. Upon the protein unfolding with a higher concentration of denaturant urea, the peak of fluorescence intensity decreased and red shifted, confirming that tryptophan residues are majorly present in a more polar environment. While regulating IFNβ gene expression during viral infection, the N-terminal domain binds to the promoter region of Virus Response Element-Interferon beta (VRE-IFNβ). Along with the protein folding analysis, this study also aimed to identify the DNA-binding activity and determine the binding affinities of NTD-IRF6 with the VRE-IFNβ promoter region. The protein-DNA interaction is specific as demonstrated by gel retardation assay and the kinetics of molecular interactions as quantified by Biolayer Interferometry showed a strong affinity with an affinity constant (KD) value of 7.96 × 10-10 M. NTD-IRF6 consists of a mix of α-helix and β-sheets that show temperature-dependent cooperative unfolding between 40 °C and 55 °C. Urea-induced unfolding shows moderate tolerance to urea as the mid-transition concentration of urea (Cm) is 3.2 M. The tryptophan residues are majorly buried as depicted by fluorescence quenching studies. NTD-IRF6 has a specific and high affinity toward the promoter region of VRE-IFNβ.

Anti-nanodisc antibodies specifically capture nanodiscs and facilitate molecular interaction kinetics studies for membrane protein

Nanodisc technology has dramatically advanced the analysis of molecular interactions for membrane proteins. A nanodisc is designed as a vehicle for membrane proteins that provide a native-like phospholipid environment and better thermostability in a detergent-free buffer. This enables the determination of the thermodynamic and kinetic parameters of small molecule binding by surface plasmon resonance. In this study, we generated a nanodisc specific anti-MSP (membrane scaffold protein) monoclonal antibody biND5 for molecular interaction analysis of nanodiscs. The antibody, biND5 bound to various types of nanodiscs with sub-nanomolar to nanomolar affinity. Epitope mapping analysis revealed specific recognition of 8 amino acid residues in the exposed helix-4 structure of MSP. Further, we performed kinetics binding analysis between adenosine A2a receptor reconstituted nanodiscs and small molecule antagonist ZM241385 using biND5 immobilized sensor chips. These results show that biND5 facilitates the molecular interaction kinetics analysis of membrane proteins substituted in nanodiscs.

Dynamic Single-Molecule Sensors: A Theoretical Study.

One of the key advantages of single-molecule sensors over conventional ensemble technologies is their capability of revealing the heterogeneity among molecular events. In dynamic single-molecule sensing, heterogeneity in molecular interaction kinetics is quantified as the fingerprint to specifically detect target molecules. This strategy offers a unique approach to develop ultrasensitive biosensors with a limit of detection at the fM level, which is three orders of magnitude lower than that of conventional assays. However, due to the lack of a comprehensive theoretical model, the rational design of dynamic single-molecule sensors is challenging. Herein, we present the theoretical study of sensing performance with a hydrodynamic model. We quantitatively show that there is a dilemma regarding the probe design. High-affinity probes offer higher specificity but require extremely long assay time, while low-affinity probes could shorten the assay time but are prone to the interference from unwanted molecules. This study also suggests that one possible solution to solve this dilemma is by applying external disturbance to the system, as we have recently demonstrated by experiments. We anticipate that this work could inspire the rational design of single-molecule sensors to further improve the sensitivity, specificity, and multiplexing capability.

DNA Minor Groove-Induced cis-trans Isomerization of a Near-Infrared Fluorescent Probe.

The discovery of small molecules that exhibit turn-on far-red or near-infrared (NIR) fluorescence upon DNA binding and understanding how they bind DNA are important for imaging and bioanalytical applications. Here we report the DNA-bound structure and the DNA binding mechanism of quinone cyanine dithiazole (QCy-DT), a recently reported AT-specific turn-on NIR fluorescent probe for double-stranded DNA. The nuclear magnetic resonance (NMR)-derived structure showed minor groove binding but no specific ligand-DNA interactions, consistent with an endothermic and entropy-driven binding mechanism deduced from isothermal titration calorimetry. Minor groove binding is typically fast because it minimally perturbs the DNA structure. However, QCy-DT exhibited unusually slow DNA binding. The cyanine-based probe is capable of cis-trans isomerization due to overlapping methine bridges, with 16 possible slowly interconverting cis/trans isomers. Using NMR, density functional theory, and free energy calculations, we show that the DNA-free and DNA-bound environments of QCy-DT prefer distinctly different isomers, indicating that the origin of the slow kinetics is a cis-trans isomerization and that the minor groove preferentially selects an otherwise unstable cis/trans isomer of QCy-DT. Flux analysis showed the conformational selection pathway to be the dominating DNA binding mechanism at low DNA concentrations, which switches to the induced fit pathway at high DNA concentrations. This report of cis/trans isomerization of a ligand, upon binding the DNA minor groove, expands the prevailing understanding of unique discriminatory powers of the minor groove and has an important bearing on using polymethine cyanine dyes to probe the kinetics of molecular interactions.

WaveRAPID-A Robust Assay for High-Throughput Kinetic Screens with the Creoptix WAVEsystem.

Surface-based biophysical methods for measuring binding kinetics of molecular interactions, such as surface plasmon resonance (SPR) or grating-coupled interferometry (GCI), are now well established and widely used in drug discovery. Increasing throughput is an often-cited need in the drug discovery process and this has been achieved with new instrument generations where multiple interactions are measured in parallel, shortening the total measurement times and enabling new application areas within the field. Here, we present the development of a novel technology called waveRAPID for a further-up to 10-fold-increase in throughput, consisting of an injection method using a single sample. Instead of sequentially injecting increasing analyte concentrations for constant durations, the analyte is injected at a single concentration in short pulses of increasing durations. A major advantage of the new method is its ability to determine kinetics from a single well of a microtiter plate, making it uniquely suitable for kinetic screening. We present the fundamentals of this approach using a small-molecule model system for experimental validation and comparing kinetic parameters to traditional methods. By varying experimental conditions, we furthermore assess the robustness of this new technique. Finally, we discuss its potential for improving hit quality and shortening cycle times in the areas of fragment screening, low-molecular-weight compound screening, and hit-to-lead optimization.

Molecular engineering of cocrystallization process in holt melt extrusion based on kinetics of elementary molecular processes

Continuous co-crystallization in a twin-screw granulator is a promising technology. In order to fundamentally optimize the process flow, it is necessary to investigate the kinetics of molecular interactions within the mixture and the effect of these interactions on co-crystal formation. In this study, the processes governing the co-crystallization of ibuprofen and nicotinamide were considered. Density functional theory calculations employing the Hirshfeld partitioning scheme were used to identify donor–acceptor sites on each molecule. A total of twenty-one different molecular interactions was identified (nine of ibuprofen and nicotinamide (resembling co-crystals), three of ibuprofen and itself (resembling the ibuprofen dimer), and nine of nicotinamide and itself (resembling the nicotinamide dimer)). Each interaction was defined as an artificial reversible reaction and the kinetics were calculated using the transition state theory of chemical reactions, where linear and quadratic synchronous transition methods were utilized to identify transition-state structures; the minimum energy path was determined using the nudged elastic band method. A kinetic Monte Carlo framework was used to study the collective/coupled effect of reactions on the progress of the co-crystallization process. it was found that operating at low temperatures (especially lower or very close to the melting temperature of ibuprofen) for longer residency times creates a safe route for maximizing the presence of ibuprofen and nicotinamide co-crystals. If the proposed route is applied, the purity and properties of the produced co-crystal would be significant, especially its desirable availability within the body.

A method for imaging single molecules at the plasma membrane of live cells within tissue slices.

Recent advances in light microscopy allow individual biological macromolecules to be visualized in the plasma membrane and cytosol of live cells with nanometer precision and ∼10-ms time resolution. This allows new discoveries to be made because the location and kinetics of molecular interactions can be directly observed in situ without the inherent averaging of bulk measurements. To date, the majority of single-molecule imaging studies have been performed in either unicellular organisms or cultured, and often chemically fixed, mammalian cell lines. However, primary cell cultures and cell lines derived from multi-cellular organisms might exhibit different properties from cells in their native tissue environment, in particular regarding the structure and organization of the plasma membrane. Here, we describe a simple approach to image, localize, and track single fluorescently tagged membrane proteins in freshly prepared live tissue slices and demonstrate how this method can give information about the movement and localization of a G protein-coupled receptor in cardiac tissue slices. In principle, this experimental approach can be used to image the dynamics of single molecules at the plasma membrane of many different soft tissue samples and may be combined with other experimental techniques.

Analysis of the Diffusivity Change from Single-Molecule Trajectories on Living Cells.

With the wide application of live-cell single-molecule imaging and tracking of biomolecules at work, deriving diffusion state changes of individual molecules is of particular interest as these changes reflect molecular oligomerization or interaction with other cellular components and thus correlate with functional changes. We have developed a Rayleigh mixture distribution-based hidden Markov model method to analyze time-lapse diffusivity change of single molecules, especially membrane proteins, with unknown dynamic states in living cells. With this method, the diffusion parameters, including diffusion state number, state transition probability, diffusion coefficient, and state mixture ratio, can be extracted from the single-molecule diffusion trajectories accurately via easy computation. The validity of our method has been demonstrated with not only experiments on synthetic trajectories but also single-molecule fluorescence imaging data of two typical membrane receptors. Our method offers a new analytical tool for the investigation of molecular interaction kinetics at the single-molecule level.

FISIK: Framework for the Inference of In Situ Interaction Kinetics from Single-Molecule Imaging Data

Recent experimental and computational developments have been pushing the limits of live-cell single-molecule imaging, enabling the monitoring of intermolecular interactions in their native environment with high spatiotemporal resolution. However, interactions are captured only for the labeled subset of molecules, which tends to be a small fraction. As a result, it has remained a challenge to calculate molecular interaction kinetics, in particular association rates, from live-cell single-molecule tracking data. To overcome this challenge, we developed a mathematical modeling-based Framework for the Inference of in Situ Interaction Kinetics (FISIK) from single-molecule imaging data with substoichiometric labeling. FISIK consists of (I) devising a mathematical model of molecular movement and interactions, mimicking the biological system and data-acquisition setup, and (II) estimating the unknown model parameters, including molecular association and dissociation rates, by fitting the model to experimental single-molecule data. Due to the stochastic nature of the model and data, we adapted the method of indirect inference for model calibration. We validated FISIK using a series of tests in which we simulated trajectories of diffusing molecules that interact with each other, considering a wide range of model parameters, and including resolution limitations, tracking errors, and mismatches between the model and the biological system it mimics. We found that FISIK has the sensitivity to determine association and dissociation rates, with accuracy and precision depending on the labeled fraction of molecules and the extent of molecule tracking errors. For cases where the labeled fraction is too low (e.g., to afford accurate tracking), combining dynamic but sparse single-molecule imaging data with almost-whole population oligomer distribution data improves FISIK’s performance. All in all, FISIK is a promising approach for the derivation of molecular interaction kinetics in their native environment from single-molecule imaging data with substoichiometric labeling.

Single-Cell Acoustic Force Spectroscopy: Resolving Kinetics and Strength of T Cell Adhesion to Fibronectin

Assessing the strength and kinetics of molecular interactions of cells with the extracellular matrix is fundamental to understand cell adhesion processes. Given the relevance of these processes, there is a strong need for physical methods to quantitatively assess the mechanism of cell adhesion at the single-cell level, allowing discrimination of cells with different behaviors. Here we introduce single-cell acoustic force spectroscopy (scAFS), an approach that makes use of acoustic waves to exert controlled forces, up to 1 nN, to hundreds of individual cells in parallel. We demonstrate the potential of scAFS by measuring adhesion forces and kinetics of CD4+ T lymphocytes (CD4) to fibronectin. We determined that CD4 adhesion is accelerated by interleukin-7, their main regulatory cytokine, whereas CD4 binding strength remains the same. Activation of these cells likely increases their chance to bind to the vessel wall in the blood flow to infiltrate inflamed tissues and locally coordinate the immune response.

Development of drug discovery screening system by molecular interaction kinetics-mass spectrometry.

Drug discovery studies invariably require qualitative and quantitative analyses of target compounds at every stage of drug discovery. We have developed a system combining molecular interaction analysis and mass spectrometry (LC-MS) using the principle of nanopore optical interferometry (nPOI) called molecular interaction kinetics-mass spectrometry (MIK-MS). Since nPOI has high binding capacity, the bond-dissociated compound can be directly detected using LC-MS. In this study, we use carbonic anhydrase II (CAII) as a ligand and apply six small compounds as analytes and report the affinity analysis using MIK-MS. CAII was immobilized onto a COOH sensor chip using standard amine coupling. A reference surface was prepared by activating and subsequently blocking the surface under identical conditions. An amount of 50 μL of mix solution was injected over the reference channel and sample channel for CAII immobilization. The solutions eluting from the sensor chip were collected from the waste-line of the SKi Pro system every 30s. Reconstructed elution samples were then injected into the LC-MS/MS system. A mixture containing furosemide, acetazolamide, 4-sulfamoylbenzoic acid, 5-(dimethylamino)-1-naphthalene sulfonamide (DNSA), sulfanilamide and sulpiride (15 μM each) was injected into the CAII-immobilized sensor chip, and the fractions eluted from the SKi Pro system were collected and subjected to selected reaction monitoring LC-MS characterization. Specific results were obtained for acetazolamide, DNSA, furosemide and sulpiride. The results suggest that the association-dissociation curve of a mixed sample can be obtained by one-time MIK-MS analysis. Six small-molecule binders of CAII were analyzed quantitatively using nPOI and MIK-MS, and the results were compared to published surface plasmon resonance (SPR) results. The nPOI and SPR results show good agreement, confirming the reliability of the analysis. Time-dependent binding results may be obtained by our MS sensorgram approach. Drugs that meet medical needs in a short period are required; this nPOI-LC-MS system is considered an important tool for rapid drug discovery.

Molecular Interaction Kinetics and Mechanism Study of Phytohormones and Plant Protein with Fluorescence and Synchronous Fluorescence Techniques

Molecular Interaction Kinetics and Mechanism Study of Phytohormones and Plant Protein with Fluorescence and Synchronous Fluorescence Techniques

Molecular force spectroscopy on cells.

Molecular force spectroscopy has become a powerful tool to study how mechanics regulates biology, especially the mechanical regulation of molecular interactions and its impact on cellular functions. This force-driven methodology has uncovered a wealth of new information of the physical chemistry of molecular bonds for various biological systems. The new concepts, qualitative and quantitative measures describing bond behavior under force, and structural bases underlying these phenomena have substantially advanced our fundamental understanding of the inner workings of biological systems from the nanoscale (molecule) to the microscale (cell), elucidated basic molecular mechanisms of a wide range of important biological processes, and provided opportunities for engineering applications. Here, we review major force spectroscopic assays, conceptual developments of mechanically regulated kinetics of molecular interactions, and their biological relevance. We also present current challenges and highlight future directions.

A Single-Photon Avalanche Camera for Fluorescence Lifetime Imaging Microscopy and Correlation Spectroscopy

Confocal laser scanning microscopy (CLSM) is commonly used to observe molecules of biological relevance in their native environment, the live cell, and study their spatial distribution and interactions nondestructively. CLSM can be easily extended to measure the lifetime of the excited state, the concentration and the diffusion properties of fluorescently labeled molecules, using fluorescence lifetime imaging microscopy (FLIM) and fluorescence correlation spectroscopy (FCS), respectively, in order to provide information about the local environment and the kinetics of molecular interaction in live cells. However, these parameters cannot be measured simultaneously using conventional CLSM due to damaging effects that are associated with strong illumination, including phototoxicity, photobleaching, and saturation of the fluorescence signal. To overcome these limitations, we have developed a new camera consisting of 1024 single-photon avalanche diodes that is optimized for multifocal microscopy, FLIM and FCS. We show proof-of-principle measurements of fluorescence intensity distribution and lifetime of the enhanced green fluorescent protein expressed in live cells and measurement of quantum dot diffusion in solution by FCS using the same detector.

Fragment screening by SPR and advanced application to GPCRs

Surface plasmon resonance (SPR) is one of the primary biophysical methods for the screening of low molecular weight ‘fragment’ libraries, due to its low protein consumption and ‘label-free’ methodology. SPR biosensor interaction analysis is employed to both screen and confirm the binding of compounds in fragment screening experiments, as it provides accurate information on the affinity and kinetics of molecular interactions. The most advanced application of the use of SPR for fragment screening is against membrane protein drug targets, such G-protein coupled receptors (GPCRs). Biophysical GPCR assays using SPR have been validated with pharmacological measurements approximate to cell-based methods, yet provide the advantage of biophysical methods in their ability to measure the weak affinities of low molecular weight fragments. A number of SPR fragment screens against GPCRs have now been disclosed in the literature. SPR fragment screening is proving versatile to screen both thermostabilised GPCRs and solubilised wild type receptors. In this chapter, we discuss the state-of-the-art in GPCR fragment screening by SPR and the technical considerations in performing such experiments.

Protein Sizing and Conformation Analysis with an Electro-Switchable DNA Chip

Powerful methods for analyzing proteins and their interactions with small molecules, nucleic acids or other proteins are a cornerstone in the development of new drugs and next-generation disease diagnostics. Commonly, affinity and kinetics of molecular interactions are determined with surface biosensors, which measure the adsorption/desorption of solute target molecules to/from surface immobilized capture molecules. However, information on protein size, shape (folding state), molecular aggregates, or chemically subtle changes such as post-translational modifications, usually remain unrevealed and must be identified in complementary assays.Here, we show that by analyzing the molecular dynamics of proteins, set in motion by electrically actuated DNA ‘levers’, it is possible to measure protein size and detect changes in protein structure. Simultaneously, chemical rate constants and dissociation constants are obtained. The method is label-free, uses a parallel microelectrode format for multiplexed assays and microfluidics for low sample consumption. An analytical model based on continuum electrostatic Poisson-Boltzmann theory and the Fokker-Planck equation allows to determine the protein's diameter with sub-nanometer accuracy. Evaluating an extensive set of molecular dynamics data with ligand proteins of differing size, we find excellent agreement between theory and experiment.The devised concepts open up a novel route for protein analysis on a chip. The relative abundance of antibody fragments in heterogeneous mixtures can be determined, the unfolding of the protein tertiary structure is easily detected and even the ion-induced conformational change of a protein is observed in real-time. Moreover, we demonstrate the revelation of post-translational modifications at the example of a glycosylation and a phosphorylation.Due to the unprecedented information content about the investigated proteins, offered by this novel technology, we believe that we can provide an essential prerequisite for the progress in early identification of promising leads when screening for biological drug candidates.

Massively parallel measurements of molecular interaction kinetics on a microfluidic platform

Quantitative biology requires quantitative data. No high-throughput technologies exist capable of obtaining several hundred independent kinetic binding measurements in a single experiment. We present an integrated microfluidic device (k-MITOMI) for the simultaneous kinetic characterization of 768 biomolecular interactions. We applied k-MITOMI to the kinetic analysis of transcription factor (TF)-DNA interactions, measuring the detailed kinetic landscapes of the mouse TF Zif268, and the yeast TFs Tye7p, Yox1p, and Tbf1p. We demonstrated the integrated nature of k-MITOMI by expressing, purifying, and characterizing 27 additional yeast transcription factors in parallel on a single device. Overall, we obtained 2,388 association and dissociation curves of 223 unique molecular interactions with equilibrium dissociation constants ranging from 2 × 10(-6) M to 2 × 10(-9) M, and dissociation rate constants of approximately 6 s(-1) to 8.5 × 10(-3) s(-1). Association rate constants were uniform across 3 TF families, ranging from 3.7 × 10(6) M(-1) s(-1) to 9.6 × 10(7) M(-1) s(-1), and are well below the diffusion limit. We expect that k-MITOMI will contribute to our quantitative understanding of biological systems and accelerate the development and characterization of engineered systems.

Specification, annotation, visualization and simulation of a large rule-based model for ERBB receptor signaling

BackgroundMathematical/computational models are needed to understand cell signaling networks, which are complex. Signaling proteins contain multiple functional components and multiple sites of post-translational modification. The multiplicity of components and sites of modification ensures that interactions among signaling proteins have the potential to generate myriad protein complexes and post-translational modification states. As a result, the number of chemical species that can be populated in a cell signaling network, and hence the number of equations in an ordinary differential equation model required to capture the dynamics of these species, is prohibitively large. To overcome this problem, the rule-based modeling approach has been developed for representing interactions within signaling networks efficiently and compactly through coarse-graining of the chemical kinetics of molecular interactions.ResultsHere, we provide a demonstration that the rule-based modeling approach can be used to specify and simulate a large model for ERBB receptor signaling that accounts for site-specific details of protein-protein interactions. The model is considered large because it corresponds to a reaction network containing more reactions than can be practically enumerated. The model encompasses activation of ERK and Akt, and it can be simulated using a network-free simulator, such as NFsim, to generate time courses of phosphorylation for 55 individual serine, threonine, and tyrosine residues. The model is annotated and visualized in the form of an extended contact map.ConclusionsWith the development of software that implements novel computational methods for calculating the dynamics of large-scale rule-based representations of cellular signaling networks, it is now possible to build and analyze models that include a significant fraction of the protein interactions that comprise a signaling network, with incorporation of the site-specific details of the interactions. Modeling at this level of detail is important for understanding cellular signaling.

Understanding the in vivo uptake kinetics of a phosphatidylethanolamine-binding agent 99mTc-Duramycin

(99m)Tc-Duramycin is a peptide-based molecular probe that binds specifically to phosphatidylethanolamine (PE). The goal was to characterize the kinetics of molecular interactions between (99m)Tc-Duramycin and the target tissue. High level of accessible PE is induced in cardiac tissues by myocardial ischemia (30min) and reperfusion (120min) in Sprague-Dawley rats. Target binding and biodistribution of (99m)Tc-duramycin were captured using SPECT/CT. To quantify the binding kinetics, the presence of radioactivity in ischemic versus normal cardiac tissues was measured by gamma counting at 3, 10, 20, 60 and 180min after injection. A partially inactivated form of (99m)Tc-Duramycin was analyzed in the same fashion. A compartment model was developed to quantify the uptake kinetics of (99m)Tc-Duramycin in normal and ischemic myocardial tissue. (99m)Tc-duramycin binds avidly to the damaged tissue with a high target-to-background radio. Compartment modeling shows that accessibility of binding sites in myocardial tissue to (99m)Tc-Duramycin is not a limiting factor and the rate constant of target binding in the target tissue is at 2.2ml/nmol/min/g. The number of available binding sites for (99m)Tc-Duramycin in ischemic myocardium was estimated at 0.14nmol/g. Covalent modification of D15 resulted in a 9-fold reduction in binding affinity. (99m)Tc-Duramycin accumulates avidly in target tissues in a PE-dependent fashion. Model results reflect an efficient uptake mechanism, consistent with the low molecular weight of the radiopharmaceutical and the relatively high density of available binding sites. These data help better define the imaging utilities of (99m)Tc-Duramycin as a novel PE-binding agent.