pbm

Protein Binding Models

https://github.com/jonathanrd/pbm

Science Score: 10.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
    1 of 2 committers (50.0%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (9.0%) to scientific vocabulary

Keywords

biological-data-analysis biology protein-protein-interaction
Last synced: 10 months ago · JSON representation

Repository

Protein Binding Models

Basic Info
  • Host: GitHub
  • Owner: jonathanrd
  • License: other
  • Language: R
  • Default Branch: master
  • Homepage:
  • Size: 22.5 KB
Statistics
  • Stars: 3
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Topics
biological-data-analysis biology protein-protein-interaction
Created over 8 years ago · Last pushed over 5 years ago
Metadata Files
Readme License

README.md

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:

r install.packages("pbm")

Or install the development version from GitHub with:

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

Usage

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

Owner

  • Name: Jonathan Davies
  • Login: jonathanrd
  • Kind: user
  • Location: Munich

GitHub Events

Total
Last Year

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 26
  • Total Committers: 2
  • Avg Commits per committer: 13.0
  • Development Distribution Score (DDS): 0.154
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Jonathan Davies j****d@g****m 22
Jonathan Davies j****9@u****k 4
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 0
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 0
  • Total pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • cran 246 last-month
  • Total docker downloads: 21,613
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 2
  • Total maintainers: 1
cran.r-project.org: pbm

Protein Binding Models

  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 246 Last month
  • Docker Downloads: 21,613
Rankings
Stargazers count: 26.2%
Forks count: 28.8%
Dependent packages count: 29.8%
Dependent repos count: 35.5%
Average: 39.0%
Downloads: 74.6%
Maintainers (1)
Last synced: 10 months ago

Dependencies

DESCRIPTION cran
  • R >= 3.4.4 depends
  • ggplot2 * suggests
  • gridExtra * suggests
  • knitr * suggests
  • rmarkdown * suggests
  • testthat * suggests