pdbeccdutils


Namepdbeccdutils JSON
Version 0.8.4 PyPI version JSON
download
home_pagehttp://pypi.python.org/pypi/pdbeccdutils/
SummaryToolkit to deal with wwPDB chemical components definitions for small molecules.
upload_time2023-10-31 09:39:07
maintainer
docs_urlNone
authorProtein Data Bank in Europe
requires_python>=3.9
licenseApache License 2.0.
keywords pdb ccd wwpdb small molecule
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            [![CodeFactor](https://www.codefactor.io/repository/github/pdbeurope/ccdutils/badge/master)](https://www.codefactor.io/repository/github/pdbeurope/ccdutils/overview/master)  ![PYPi](https://img.shields.io/pypi/v/pdbeccdutils?color=green&style=flat)  ![GitHub](https://img.shields.io/github/license/pdbeurope/ccdutils)   ![ccdutils documentation](https://github.com/PDBeurope/ccdutils/workflows/ccdutils%20documentation/badge.svg) ![ccdutils tests](https://github.com/PDBeurope/ccdutils/workflows/ccdutils%20tests/badge.svg)

# pdbeccdutils

* A set of python tools to deal with PDB chemical components definitions.
  for small molecules, taken from the [wwPDB Chemical Component Dictionary](https://www.wwpdb.org/data/ccd) and [wwPDB The Biologically Interesting Molecule Reference Dictionary](https://www.wwpdb.org/data/bird)

* The tools use:
  * [RDKit](http://www.rdkit.org/) for chemistry. Presently tested with `2022.09.4`
  * [GEMMI](https://gemmi.readthedocs.io/en/latest/index.html) for parsing cif files.
  * [scipy](https://www.scipy.org/) for depiction quality check.
  * [numpy](https://www.numpy.org/) for molecular scaling.
  * [networkx](https://networkx.org/) for bound-molecules.

* Please note that the project is under active development.

## Installation instructions

* `pdbeccdutils` requires RDKit to be installed.
  The official RDKit documentation has [installation instructions for a variety of platforms](http://www.rdkit.org/docs/Install.html).
  For linux/mac OS this is most easily done using the anaconda python with commands similar to:

  ```console
  conda create -n rdkit-env rdkit python=3.9
  conda activate rdkit-env
  ```

* Once you have installed RDKit, as described above then install pdbeccdutils using pip:

  ```console
  pip install pdbeccdutils
  ```

## Features

* gemmi CCD read/write.
* Generation of 2D depictions (`No image available` generated if the flattening cannot be done) along with the quality check.
* Generation of 3D conformations.
* Fragment library search (PDBe hand currated library, ENAMINE, DSI).
* Chemical scaffolds (Murcko scaffold, Murcko general, BRICS).
* Lightweight implementation of [parity method](https://doi.org/10.1016/j.str.2018.02.009) by Jon Tyzack.
* RDKit molecular properties per component.
* UniChem mapping.

## TODO list

* Add more unit/regression tests to get higher code coverage.
* Further improvements of the documentation.


## Documentation

The documentation depends on the following packages:

* `sphinx`
* `sphinx_rtd_theme`
* `myst-parser`
* `sphinx-autodoc-typehints`

Note that `sphinx` needs to be a part of the virtual environment, if you want to generate documentation by yourself.
Otherwise it cannot pick `rdkit` module. `sphinx_rtd_theme` is a theme providing nice `ReadtheDocs` mobile friendly style.

* Generate *.rst* files to be included as a part of the documentation. Inside the directory `pdbeccdutils/doc` run the following commands to generate documentation.
* Alternatively, use the `myst-parser` package to get the Markdown working.

 Use the following to generate initial markup files to be used by sphinx.  This needs to be used when adding another sub-packages.

```console
sphinx-apidoc -f -o /path/to/output/dir ../pdbeccdutils/
```

Use this to re-generate the documentation from the doc/ directory:

```console
make html
```

            

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