2010
DOI: 10.1021/bm100844x
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Dissociation Kinetics of an Enzyme−Inhibitor System Using Single-Molecule Force Measurements

Abstract: We report on an improved method to interpret single molecule dissociation measurements using atomic force microscopy. We describe an easy to use methodology to reject nonspecific binding events, as well as estimating the number of multiple binding events. The method takes nonlinearities in the force profiles into account that result from the deformation of the used polymeric linkers. This new method is applied to a relevant enzyme-inhibitor system, latent matrix metalloprotease 9 (ProMMP-9, a gelatinase), and … Show more

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Cited by 9 publications
(13 citation statements)
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References 30 publications
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“…A better approach is to filter out force cycles with multiple rupture events (3,32,33). However, this assumes that two rupture events will be spatially separated, which often fails when the molecules are short or when adhesion probability is high (34,35). Nevertheless, this simple filtering method can improve the accuracy of experiments obtained with low adhesion probabilities, especially if the fraction of data filtered out correspond with the statistical predictions.…”
Section: Filtering Using Mechanical Fingerprintsmentioning
confidence: 99%
See 1 more Smart Citation
“…A better approach is to filter out force cycles with multiple rupture events (3,32,33). However, this assumes that two rupture events will be spatially separated, which often fails when the molecules are short or when adhesion probability is high (34,35). Nevertheless, this simple filtering method can improve the accuracy of experiments obtained with low adhesion probabilities, especially if the fraction of data filtered out correspond with the statistical predictions.…”
Section: Filtering Using Mechanical Fingerprintsmentioning
confidence: 99%
“…Some studies have analyzed this force data by only considering the last rupture event in the force cycle (59,60), but this again assumes that two rupture events must be spatially separated. This assumption fails especially when there are many rupture events, resulting in hidden multiple interactions (34,35). Another shortcoming is that these methods assume prior knowledge about the appearance of single molecule data and have not been shown to be reliable for the complex energy landscapes described above.…”
Section: Analyzing High-adhesion Probability Datamentioning
confidence: 99%
“…DNA-protein and DNA-drug interactions have also been measured directly, providing thermodynamic and kinetic information that led to novel insights into the mechanisms of molecular interactions (Pant et al, 2005;Vladescu et al, 2005;Williams et al, 2006;Rocha et al, 2007). The specific interactions between biological molecules have been directly measured at the single-molecule level, providing information of energy landscape during bond rupture event (Merkel et al, 1999;Marshall et al, 2003;Ratto et al, 2004;Morfill et al, 2007a;Mayyas et al, 2010).…”
Section: Introductionmentioning
confidence: 99%
“…AFM-FS (Stroh et al, 2004;Hinterdorfer and Dufrene 2006;Tang et al, 2007;Dufrene and Hinterdorfer 2008;Takahashi et al, 2009) is crucial due to its wide range of applications (Mayyas et al, 2010). Other than determining the binding kinetics and interaction forces, AFM-FS has also been utilized to understand the unfolding and folding of nucleic acids with multiple repeated units and single proteins, as well as to study molecule-material interface and molecule-molecule interactions.…”
Section: Understanding the Binding Dynamics Between The Targeted Receptor And Drug Delivery Vehiclementioning
confidence: 99%
“…AFM-FS has also been helpful to understand the cellular mechanics. Quantitative analysis and detection have also been possible using AFM-SMFS techniques (Mayyas et al, 2010). Polyproteins were first investigated by the Dougan group (Hughes and Dougan 2016) using AFM-SMFS techniques (employing both force-clamp and force-extension modes).…”
Section: Understanding the Binding Dynamics Between The Targeted Receptor And Drug Delivery Vehiclementioning
confidence: 99%