1995
DOI: 10.1006/abio.1995.1350
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Surface Plasmon Resonance Detection and Multispot Sensing for Direct Monitoring of Interactions Involving Low-Molecular-Weight Analytes and for Determination of Low Affinities

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Cited by 268 publications
(139 citation statements)
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“…We analyzed the affinities of our ligands using referencesubtracted response levels at equilibrium to determine the binding isotherm (Figure 3) (34). In the case of low-affinity ligands, we were able to obtain approximate fits using a single-site model (eq 1) by assuming the curves would reach a similar plateau.…”
Section: Resultsmentioning
confidence: 99%
“…We analyzed the affinities of our ligands using referencesubtracted response levels at equilibrium to determine the binding isotherm (Figure 3) (34). In the case of low-affinity ligands, we were able to obtain approximate fits using a single-site model (eq 1) by assuming the curves would reach a similar plateau.…”
Section: Resultsmentioning
confidence: 99%
“…After each run, regeneration of the sensor chip surface was accomplished by two successive injections of 15 l of 5 mM HCl. The values for rate constants were determined by nonlinear regression analyses using BIAevaluation 2.1 software provided by the manufacturer and as described in detail by Karlsson et al (32,33). Association rate constants (k a ) were calculated from the linear portion of sensorgrams during the early association phase.…”
Section: Methodsmentioning
confidence: 99%
“…However, given the large number of variant peptides, the only practical way to perform the screening consists of monoclonal antibody (MAb) immobilization and injection of peptide analytes. As direct detection of analytes smaller than 5000 Da is usually unfeasible with standard BIAcore protocols [20,21], we have carried out an extensive optimization of this approach using 44 of the 240 A15 single mutants as analytes and anti-site A MAb SD6 as ligand. The generally good agreement found between biosensor data and the anities known from ELISA [18] validates our analytical method.…”
Section: Introductionmentioning
confidence: 99%