BiochemicalAlgorithms
The Biochemical Algorithms Library in Julia
Science Score: 44.0%
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✓codemeta.json file
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○Scientific vocabulary similarity
Low similarity (15.3%) to scientific vocabulary
Repository
The Biochemical Algorithms Library in Julia
Basic Info
- Host: GitHub
- Owner: hildebrandtlab
- License: mit
- Language: Julia
- Default Branch: develop
- Size: 9.01 MB
Statistics
- Stars: 19
- Watchers: 4
- Forks: 11
- Open Issues: 14
- Releases: 21
Metadata Files
README.md
BiochemicalAlgorithms
BiochemicalAlgorithms.jl is a redesign of the popular Biochemical Algorithms Library (BALL), the largest open source C++-framework of its kind. We focused on three main design goals: efficiency, ease of use and rapid application development (RAD). Our library provides functionality for file I/O, molecular modeling, molecular mechanics methods, and molecular visualization, and hence can serve as a foundation for developing applications within the Julia ecosystem.
Installation
To install BiochemicalAlgorithms, open a Julia REPL, switch to the package mode by pressing ], and type
julia
pkg> add BiochemicalAlgorithms
Usage
Here is a simple impression of what you can do with BiochemicalAlgorithms.jl.
Central to every application is a System, which is filled with structures by reading in atom coordinates from PDB or PubChem JSON files. The system is preprocessed by the FragmentDB performing three steps: name normalization, reconstruction of missing atoms, and the construction of atomic bonds. The energy of the structure is evaluated using Amber forcefield. With the help of BiochemicalVisualization.jl the structure can be visualized as a ball-and-stick model.
```julia using BiochemicalAlgorithms
Read PDB file from the BiochemicalAlgorithms.jl repository
sys = loadpdb(balldata_path("../test/data/AlaAla.pdb"))
println("Number of atoms: ", natoms(sys)) println("Number of bonds: ", nbonds(sys))
Prepare molecule
fdb = FragmentDB() normalizenames!(sys, fdb) reconstructfragments!(sys, fdb) build_bonds!(sys, fdb) println("Number of bonds: ", nbonds(sys))
Create Amber force field and compute the energy of the system
amber = AmberFF(sys) compute_energy!(amber) println(amber.energy) ```
Documentation
If the previous section whetted your appetite, have a look at our tutorials to get started.
Contributing
You have ideas for improvements, criticism, or ran into problems? You are looking for a feature that you know from BALL? Feedback and contributions are very welcome. Check out our guidelines and use our issue tracker or contact us via e-mail.
Owner
- Name: hildebrandtlab
- Login: hildebrandtlab
- Kind: organization
- Repositories: 6
- Profile: https://github.com/hildebrandtlab
Citation (CITATION.bib)
@misc{BiochemicalAlgorithms.jl,
author = {Andreas Hildebrandt <andreas.hildebrandt@uni-mainz.de> and contributors},
title = {BiochemicalAlgorithms.jl},
url = {https://github.com/hildebrandtlab/BiochemicalAlgorithms.jl},
version = {v0.1.0},
year = {2022},
month = {4}
}
GitHub Events
Total
- Create event: 90
- Commit comment event: 27
- Issues event: 36
- Release event: 11
- Watch event: 6
- Delete event: 66
- Issue comment event: 18
- Push event: 298
- Pull request review comment event: 45
- Pull request review event: 16
- Pull request event: 86
Last Year
- Create event: 90
- Commit comment event: 27
- Issues event: 36
- Release event: 11
- Watch event: 6
- Delete event: 66
- Issue comment event: 18
- Push event: 298
- Pull request review comment event: 45
- Pull request review event: 16
- Pull request event: 86
Issues and Pull Requests
Last synced: 10 months ago
All Time
- Total issues: 19
- Total pull requests: 45
- Average time to close issues: about 2 months
- Average time to close pull requests: 8 days
- Total issue authors: 4
- Total pull request authors: 4
- Average comments per issue: 0.37
- Average comments per pull request: 0.07
- Merged pull requests: 23
- Bot issues: 0
- Bot pull requests: 15
Past Year
- Issues: 14
- Pull requests: 33
- Average time to close issues: 8 days
- Average time to close pull requests: 4 days
- Issue authors: 4
- Pull request authors: 4
- Average comments per issue: 0.29
- Average comments per pull request: 0.06
- Merged pull requests: 20
- Bot issues: 0
- Bot pull requests: 8
Top Authors
Issue Authors
- tkemmer (25)
- jeleclaire (5)
- anmabu (1)
- anhi (1)
- JuliaTagBot (1)
Pull Request Authors
- tkemmer (56)
- github-actions[bot] (16)
- jeleclaire (10)
- anhi (2)
- jgreener64 (1)
- dependabot[bot] (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- julia 4 total
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 21
juliahub.com: BiochemicalAlgorithms
The Biochemical Algorithms Library in Julia
- Documentation: https://docs.juliahub.com/General/BiochemicalAlgorithms/stable/
- License: MIT
-
Latest release: 0.5.5
published 11 months ago
Rankings
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- julia-actions/cache v1 composite
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- julia-actions/julia-docdeploy v1 composite
- julia-actions/julia-processcoverage v1 composite
- julia-actions/julia-runtest v1 composite
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- actions/checkout v3 composite
- actions/setup-python v4 composite
- JuliaRegistries/TagBot v1 composite