covid-moonshot | input files associated with docking and free energy
kandi X-RAY | covid-moonshot Summary
kandi X-RAY | covid-moonshot Summary
covid-moonshot is a Python library. covid-moonshot has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However covid-moonshot build file is not available. You can download it from GitHub.
This repository contains all the scripts and output for docking and free energy calculations of COVID Moonshot submissions run on Folding@home.
This repository contains all the scripts and output for docking and free energy calculations of COVID Moonshot submissions run on Folding@home.
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Quality
Security
License
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Support
covid-moonshot has a low active ecosystem.
It has 56 star(s) with 6 fork(s). There are 12 watchers for this library.
It had no major release in the last 12 months.
There are 3 open issues and 2 have been closed. On average issues are closed in 22 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of covid-moonshot is 0.3.0
Quality
covid-moonshot has no bugs reported.
Security
covid-moonshot has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
covid-moonshot is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
covid-moonshot releases are available to install and integrate.
covid-moonshot has no build file. You will be need to create the build yourself to build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed covid-moonshot and discovered the below as its top functions. This is intended to give you an instant insight into covid-moonshot implemented functionality, and help decide if they suit your requirements.
- Prepare a simulation
- Returns the covalent atom of a molecule
- Searches for the specified warhead atom
- Extract series from molecule
- Generate restricted conformers
- Generate restrictioners for given receptor
- Get the core of a reference molecule
- Calculates the number of branches for a given lig_mol
- Run relative perturbation
- Dock a molecule to a given list of receptor structures
- Convert a molecule to a receptor
- Dynamically dock a receptor
- Generates a greedy set of subsets
- Generate a list of pose objects for a given receptor
- Load a list of molecules from a file
- Dock a molecule
- Calculate the AUC
- Compute ROC curve
- Load a reference molecule
- Add a direction to the master
- Loads a list of molecules from a file
- Read the receptor from a fragment
- Annotate an assay data file with assay data
- Load a JSON file
- Compute the ROC curve
- Extract compound ID from microstate
- Dump a molecule from a file
- Reads the original smiles from a file
Get all kandi verified functions for this library.
covid-moonshot Key Features
No Key Features are available at this moment for covid-moonshot.
covid-moonshot Examples and Code Snippets
No Code Snippets are available at this moment for covid-moonshot.
Community Discussions
No Community Discussions are available at this moment for covid-moonshot.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install covid-moonshot
You can download it from GitHub.
You can use covid-moonshot 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 covid-moonshot 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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