protein_contacts_extractor | simple script that extract

by mmabrouk Python Version: Current License: No License

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kandi X-RAY | protein_contacts_extractor Summary

protein_contacts_extractor is a Python library. protein_contacts_extractor has no bugs, it has no vulnerabilities and it has low support. However protein_contacts_extractor build file is not available. You can download it from GitHub.

A simple script that extract (medium and long-range) contacts from the native structure of proteins. Usage: python extractNativeContacts.py -p 12asA.pdb [-c medium -t 5] >Extracts [medium-range] contacts from 12asA.pdb with a threshold of 5A defined for contact. The extracted contacts will be printed to the console.

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Support

protein_contacts_extractor has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

protein_contacts_extractor has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of protein_contacts_extractor is current.

Quality

protein_contacts_extractor has no bugs reported.

Security

protein_contacts_extractor has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

protein_contacts_extractor does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

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protein_contacts_extractor releases are not available. You will need to build from source code and install.

protein_contacts_extractor has no build file. You will be need to create the build yourself to build the component from source.

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protein_contacts_extractor Key Features

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protein_contacts_extractor Examples and Code Snippets

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Vulnerabilities

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Install protein_contacts_extractor

You can download it from GitHub.
You can use protein_contacts_extractor 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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