doi:10.3791/51383>. Hoang H. Nguyen et al. (2015) <doi:10.3390/s150510481>. 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 (original) (raw)

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) <doi:10.3791/51383>. Hoang H. Nguyen et al. (2015) <doi:10.3390/s150510481>. 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.

Version: 1.2.1
Depends: R (≥ 3.4.4)
Suggests: testthat, knitr, rmarkdown, ggplot2, gridExtra
Published: 2021-03-28
DOI: 10.32614/CRAN.package.pbm
Author: Jonathan Davies ORCID iD [aut, cre]
Maintainer: Jonathan Davies
BugReports: https://github.com/jonathanrd/pbm/issues
License: MIT + file
URL: https://github.com/jonathanrd/pbm
NeedsCompilation: no
Materials: README, NEWS
In views: Omics
CRAN checks: pbm results

Documentation:

Reference manual: pbm.html , <pbm.pdf>
Vignettes: Protein Binding Models (source, R code)

Downloads:

Package source: pbm_1.2.1.tar.gz
Windows binaries: r-devel: pbm_1.2.1.zip, r-release: pbm_1.2.1.zip, r-oldrel: pbm_1.2.1.zip
macOS binaries: r-release (arm64): pbm_1.2.1.tgz, r-oldrel (arm64): pbm_1.2.1.tgz, r-release (x86_64): pbm_1.2.1.tgz, r-oldrel (x86_64): pbm_1.2.1.tgz
Old sources: pbm archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=pbmto link to this page.