Model and simulation of multivalent binding to fixed ligands.

K M Müller; K M Arndt; A Plückthun

doi:10.1006/abio.1998.2725

Home/Archive/PubMed

PubMed · 9716417

Model and simulation of multivalent binding to fixed ligands.

K M Müller·K M Arndt·A Plückthun

View original source ↗Export metadata ↓

Abstract

A model to quantitate the principal aspects of multivalent binding was developed. It describes the random distribution of an immobilized component (the ligand) taking into account local densities. The binding of a bivalent molecule (the analyte) to the ligand is described as occurring in two steps, the second of which is driven by the local concentration of neighboring ligands. The model was used to simulate the kinetics of bivalent binding in surface plasmon resonance biosensors such as BIAcore. The simulations are compared with measured data. The simulation quantitates the influence of bivalent binding on the sensor signal, as a function of ligand density, analyte concentration, and binding site distance. Such simulations will be helpful for understanding and designing experiments to assess avidity effects as well as for developing molecules with high avidity. Furthermore, they help to analyze the inherent complexity in seemingly simple sensorgrams.

Explore related subjects

Antibody Affinity Biosensing Techniques Kinetics Ligands Models, Chemical Surface Properties Journal Article

Keep this discovery

Explore connections, maps & timelines

BibTeX RIS

K M Müller, K M Arndt, A Plückthun. 1998-08-01. Model and simulation of multivalent binding to fixed ligands.. https://doi.org/10.1006/abio.1998.2725

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

PubMed2007

Binding capacity differences for antibodies and Fc-fusion proteins on protein A chromatographic materials.

A range of studies were carried out to investigate the underlying reason for differences in dynamic binding capacities observed with various antibodies and Fc-fusion proteins during Protein A chromatography. Dynamic binding capacities were determined for these biomolecules using different protein A stationary phase materials. SEC was carried out to determine the relative sizes of the antibodies and fusion proteins. Pore diffusivities and static binding capacities were also determined on these Protein A resin materials. Trends in the dynamic binding capacities for these molecules did not correlate with differences in pore diffusion coefficients as might be expected for a mass transfer limited system. Instead, dynamic binding capacities were seen to follow the same trends as the static binding capacities and the apparent size of the molecules. Differences in static binding capacities were attributed to be due to differences in steric factor between the molecules. Solution binding stoichiometry studies were employed to estimate intra-Protein A steric effects while binding to the various domains within a Protein A ligand. In addition, steric hindrance was also found to exist between adjacent immobilized Protein A ligands on the chromatographic surface. The combination of intra and inter Protein A steric hindrances can explain differences in binding capacities observed between various antibody and Fc fusion proteins. The effect of Protein A ligand density on these supports was also examined and the results indicate that increasing Protein A ligand density leads to a situation of diminishing returns for binding capacity due to increased steric hindrance on the resin surface. The results presented in this paper show that steric hindrances can dominate over mass transfer effects in causing capacity variation between different molecules on the same stationary phase. This can lead to the development of more cost-efficient chromatographic stationary phases as well as provide information during the selection of Protein A media for preparative purification of monoclonal antibodies and Fc fusion proteins.

Antibody Affinity↗

PubMed2007

Isolation and characterization of phage-displayed single chain antibodies recognizing nonreducing terminal mannose residues. 1. A new strategy for generation of anti-carbohydrate antibodies.

Phage-display technology is probably the best available strategy to produce antibodies directed against various carbohydrate moieties since conventional hybridoma technologies have yielded mostly low-affinity antibodies against a limited number of carbohydrate antigens. Because of difficulties in immobilization of carbohydrate antigens onto plastic plates, however, the same procedures used for protein antigens cannot be readily applied. We adapted phage-display technology to generate human single chain antibodies (scFvs) using neoglycolipids as antigens. This study describes the isolation and characterization of phage-displayed antibodies (phage Abs) that recognized nonreducing terminal mannose residues. We first constructed a phage Ab library with a large repertoire using CDR shuffling and VL/VH shuffling methods with unique vector constructs. The library was subjected to four rounds of panning against neoglycolipids synthesized from mannotriose (Man3) and dipalmitoylphosphatidylethanolamine (DPPE) by reductive amination. Of 672 clones screened by enzyme-linked immunosorbent assay (ELISA) using Man3-DPPE as an antigen, 25 positive clones encoding scFvs with unique amino acid sequences were isolated as candidates for phage Abs against Man3 residues. TLC-overlay assays and surface plasmon resonance analyses revealed that selected phage Abs bound to neoglycolipids bearing mannose residues at nonreducing termini. In addition, binding of the phage Ab to RNase B carrying high mannose type oligosaccharides but not to fetuin carrying complex type and O-linked oligosaccharides was confirmed. Furthermore, first round characterization of scFvs expressed from respective phages indicated good affinity and specificity for nonreducing terminal mannose residues. These results demonstrated the usefulness of this strategy in constructing human scFv against various carbohydrate antigens. Further studies on the purification and characterization of these scFvs are presented in an accompanying paper in this issue.

Antibody Affinity↗

PubMed2006

Binding affinities/avidities of antibody-antigen interactions: quantification and scale-up implications.

Bioaffinity interactions have been, and continue to be, successfully adapted from nature for use in separation and detection applications. It has been previously reported that the magnetophoretic mobility of labeled cells show a saturation type phenomenon as a function of the concentration of the free antibody-magnetic nanoparticle conjugate which is consistent with other reports of antibody-fluorophore binding. Starting with the standard antibody-antigen relationship, a model was developed which takes into consideration multi-valence interactions, and various attributes of flow cytometry (FCM) and cell tracking velocimetry (CTV) measurements to determine both the apparent dissociation constant and the antibody-binding capacity (ABC) of a cell. This model was then evaluated on peripheral blood lymphocytes (PBLs) labeled with anti CD3 antibodies conjugated to FITC, PE, or DM (magnetic nanoparticles). Reasonable agreements between the model and the experiments were obtained. In addition, estimates of the limitation of the number of magnetic nanoparticles that can bind to a cell as a result of steric hinderance was consistent with measured values of magnetophoretic mobility. Finally, a scale-up model was proposed and tested which predicts the amount of antibody conjugates needed to achieve a given level of saturation as the total number of cells reaches 10(10), the number of cells needed for certain clinical applications, such as T-cell depletions for mismatched bone marrow transplants.

Antibody Affinity↗