The purpose of this package is to use R to develop novel statistic models and to fit the protein-ligand interaction data obtained from biosensor (both BLI and SPR). R is widely used in statistic analysis. R also has advantage in large data process. For example, it often takes a lot of work to read biosensor data into certain program to analysis. However, it is easy to read biosensor data into a data frame, the most common method to store data in R. In this packages, we first developed a dimerization model and applied it to fit the BLI data of von Willebrand factor propeptide. We successfully determined the dimerization constant and kinetic parameters of von Willebrand factor propeptide ( for background ) .
There are two major biosensor techniques in studying protein-ligand insteraction: Bio-layer interferometry (BLI) Surface plasmon resonance (SPR).
Model in the package: Simple one to one binding + steady state + kinetic Dimerization model: + steady state + kinetic * Multiple binding sites (to be developed) + steady state + kinetic
Other models: to request additional model, you may contact me by EMail
pldfit is developed running in R (following the link to download and install if you need). To get the currect development version from github: # require devtools > require(devtools) > devtools::install_github("huangrh/pldfit")
Simple one to one model: simulation & fitting
Dimerization model: simulation & fitting
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