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 |
Author: | Jonathan Davies [aut, cre] |
Maintainer: | Jonathan Davies <jonathanrd at gmail.com> |
BugReports: | https://github.com/jonathanrd/pbm/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/jonathanrd/pbm |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | pbm results |
Reference manual: | pbm.pdf |
Vignettes: |
Protein Binding Models |
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 |
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