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Understand binding mechanisms and multi-valency

Molecular interactions can be intricate and sometimes there is no suitable model to describe them properly. InteractionMap analyzes real-time binding curves without any a priori guesses of the binding characteristics. It just assumes that a large number of potential one-to-one interactions can take place and searches for the binding events that matches the experimental data. The result is displayed as an InteractionMap; a heat map where the position corresponds to a certain on-rate, off-rate and affinity while the color represents its abundancy. Selecting one or more of the distinct peaks in InteractionMap shows their contribution to the experimental binding curve.

From InteractionMap you will get an image of function that will help you understand the binding mechanism and make better decisions in drug development and preclinical research. The visual presentation of interaction data is perfect for communicating your results and convincing others.

Add-ons are supplementary features of TraceDrawer that are sold separately. They are accessed using license keys, without the need of additional installations.


Key features

  • Visualize and communicate binding complexity
  • Investigate avidity effects
  • Alter the experimental settings and monitor the impact on interaction characteristics


Published examples

These are a few examples describing InteractionMap. You can find more in the publications list of our instrument site.

Deciphering complex protein interaction kinetics using Interaction Map.
Altschuh D, Björkelund H, Strandgård J, Choulier L, Malmqvist M, Andersson K.
Biochem Biophys Res Commun. 2012. 428(1):74-9.

Multivalent Fc-gamma-receptor engagement by a hexameric Fc-fusion protein triggers Fc-gamma-receptor internalisation and modulation of Fc-gamma-receptor functions.
Qureshi OS, Rowley TF, Junker F, Peters SJ, Crilly S, Compson J, Eddleston A, Björkelund H, Greenslade K, Parkinson M, Davies NL, Griffin R, Pither TL, Cain K, Christodoulou L, Staelens L, Ward E, Tibbitts J, Kiessling A, Smith B, Brennan FR, Malmqvist M, Fallah-Arani F, Humphreys DP.
Sci Rep. 2017. 7(1):17049.