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pbm  

Protein Binding Models
View on CRAN: Click here


Download and install pbm package within the R console
Install from CRAN:
install.packages("pbm")

Install from Github:
library("remotes")
install_github("cran/pbm")

Install by package version:
library("remotes")
install_version("pbm", "1.2.1")



Attach the package and use:
library("pbm")
Maintained by
Jonathan Davies
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-03-05
Latest Update: 2021-03-28
Description:
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.
How to cite:
Jonathan Davies (2018). pbm: Protein Binding Models. R package version 1.2.1, https://cran.r-project.org/web/packages/pbm. Accessed 05 Mar. 2026.
Previous versions and publish date:
1.1.0 (2018-03-05 21:00)
Other packages that cited pbm R package
View pbm citation profile
Other R packages that pbm depends, imports, suggests or enhances
Complete documentation for pbm
Functions, R codes and Examples using the pbm R package
Some associated functions: binding1to1 . binding2to1 . req . tteq . 
Some associated R codes: Full pbm package functions and examples
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