Protein Binding Models

Binding models which are useful when analysing protein-ligand interactions by techniques such as Biolayer Interferometry (BLI) or Surface Plasmon Resonance (SPR). Naman B. Shah, Thomas M. Duncan (2014) . Hoang H. Nguyen et al. (2015) . After initial binding parameters are known, binding curves can be simulated and parameters can be varied. The models within this package may also be used to fit a curve to measured binding data using non-linear regression.


PBM - Protein Binding Models

The goal of PBM is to make analysing Biolayer Interferometry (BLI) or Surface Plasmon Resonance (SPR) data more open. After initial binding parameters are known, binding curves can be simulated and parameters such as: analyte concentration, time of association, dissociation etc. can be varied. The models within this package may also be used to fit a curve to measured binding data using a non-linear regression.

Currently, two binding models are included with this package:

  • 1:1 binding
  • 2:1 heterogeneous binding.

Note: more binding models are on their way.. bivalent model, mass-transport params etc.

Installation

Install the released version of usethis from CRAN:

install.packages("pbm")

Or install the development version from GitHub with:

install.packages("devtools")
devtools::install_github("jonathanrd/pbm")

Usage

For usage information and examples, see the vignette and reference manual on CRAN: pbm.

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("pbm")

1.2.1 by Jonathan Davies, 6 years ago


https://github.com/jonathanrd/pbm


Report a bug at https://github.com/jonathanrd/pbm/issues


Browse source code at https://github.com/cran/pbm


Authors: Jonathan Davies [aut, cre]


Documentation:   PDF Manual  


MIT + file LICENSE license


Suggests testthat, knitr, rmarkdown, ggplot2, gridExtra


See at CRAN