haddock-tools | scripts useful for pre- and post-processing and analysis
kandi X-RAY | haddock-tools Summary
kandi X-RAY | haddock-tools Summary
haddock-tools is a Python library. haddock-tools has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However haddock-tools build file is not available. You can download it from GitHub.
Set of useful HADDOCK utility scripts, which requires Python 3.7+.
Set of useful HADDOCK utility scripts, which requires Python 3.7+.
Support
Quality
Security
License
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Support
haddock-tools has a low active ecosystem.
It has 16 star(s) with 11 fork(s). There are 21 watchers for this library.
It had no major release in the last 12 months.
There are 3 open issues and 4 have been closed. On average issues are closed in 1 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of haddock-tools is 2.0.0
Quality
haddock-tools has 0 bugs and 0 code smells.
Security
haddock-tools has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
haddock-tools code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
haddock-tools is licensed under the Apache-2.0 License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
haddock-tools releases are available to install and integrate.
haddock-tools has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
It has 1306 lines of code, 40 functions and 10 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed haddock-tools and discovered the below as its top functions. This is intended to give you an instant insight into haddock-tools implemented functionality, and help decide if they suit your requirements.
- Parse the PDB file
- Parse an ATOM line
- Parse the model number
- Align two sequences
- Convert a PDB file to fastadic
- Recursively update the dictionary
- Create an IHLM model
- Updates the amino acid list
- Validate a table
- Check if the file is open
- Write data to JSON file
- Check if a file is open
- Get a dictionary of ranges
- Check if input is a file
- Renumber a model
- Print mutant files
- Return all interfaces in the PDB file
- Read a structure from a PDB file
- Runs Molecule
- Return a list of strains
- Calculate the start and end positions of a molecule
- Analyze Protonation state
- Build a random number of residues from a set of bodies
- R Function to merge two passive active sequences
- Calculate surface residue residues for a structure
- Calculate accessibility
Get all kandi verified functions for this library.
haddock-tools Key Features
No Key Features are available at this moment for haddock-tools.
haddock-tools Examples and Code Snippets
No Code Snippets are available at this moment for haddock-tools.
Community Discussions
No Community Discussions are available at this moment for haddock-tools.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install haddock-tools
You can download it from GitHub.
You can use haddock-tools like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use haddock-tools like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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