pconpy | python module for generating protein contact maps

by kianho Python Version: Current License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | pconpy Summary

pconpy is a Python library typically used in Institutions, Learning, Education applications. pconpy has no bugs, it has no vulnerabilities, it has build file available and it has low support. However pconpy has a Non-SPDX License. You can download it from GitHub.

![1ubq CA-CA distance map] images/1ubq-dmap-CA.png) ![1ubq CA-CA contact map] images/1ubq-cmap-CA.png). This is the official repository for the redevelopment of PConPy. The original (now obsolete) source code associated with the article is accessible from the [legacy] branch of this repository.

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Quality

Security

License

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Support

pconpy has a low active ecosystem.

It has 34 star(s) with 14 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 9 have been closed. On average issues are closed in 5 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of pconpy is current.

Quality

pconpy has 0 bugs and 0 code smells.

Security

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

pconpy code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pconpy has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

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

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

pconpy saves you 210 person hours of effort in developing the same functionality from scratch.

It has 515 lines of code, 29 functions and 5 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed pconpy and discovered the below as its top functions. This is intended to give you an instant insight into pconpy implemented functionality, and help decide if they suit your requirements.

Calculate the distance matrix
Get the coordinate of an atom
R Return a function to determine if a pair of residues in res_a
Calculate the distance between two residues
Calculate the distance between two points
Return a list of sidechain atoms
Calculate the distance between two molecules
Get information about the HBond site
Calculates the center of mass of a list of atoms
Checks if an atom is a side chain
Get all residues from a pdb file
Convert a DSSP file into a DSSP dictionary
Parse DSSP output into a dictionary
Make a dictionary of dssp dicts
Check if two atoms are parallel
Return a list of backbone atoms
Return True if an atom is a backbone atom

Get all kandi verified functions for this library.

pconpy Key Features

No Key Features are available at this moment for pconpy.

pconpy Examples and Code Snippets

No Code Snippets are available at this moment for pconpy.

Community Discussions

No Community Discussions are available at this moment for pconpy.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install pconpy

You can download it from GitHub.
You can use pconpy 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

Peter Cock’s (@peterjc) [tutorial](http://goo.gl/q7DNt7) covers the basics of PDB file parsing and visualisation using the powerful [Biopython](http://biopython.org) library.

Find more information at: