rcsb.utils.insilico3d


Namercsb.utils.insilico3d JSON
Version 0.40 PyPI version JSON
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home_pagehttps://github.com/rcsb/py-rcsb_utils_insilico3d
SummaryRCSB Python In Silico Model Access Utilities
upload_time2024-12-09 23:53:28
maintainerNone
docs_urlNone
authorDennis Piehl
requires_pythonNone
licenseApache 2.0
keywords
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requirements rcsb.utils.io rcsb.utils.multiproc ihm modelcif gsutil google-cloud-storage asyncio aiohttp aiofiles
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # RCSB Python In Silico Model Access Utilities

[![Build Status](https://dev.azure.com/rcsb/RCSB%20PDB%20Python%20Projects/_apis/build/status/rcsb.py-rcsb_utils_insilico3d?branchName=master)](https://dev.azure.com/rcsb/RCSB%20PDB%20Python%20Projects/_build/latest?definitionId=35&branchName=master)

## Introduction

This module contains utility methods for accessing in silico 3D models and metadata from external data resources, including AlphaFold, ModBase, SWISS-MODEL, and Model Archive.

### Installation

Download the library source software from the project repository:

```bash

git clone --recurse-submodules https://github.com/rcsb/py-rcsb_utils_insilico3d.git

```

**Important:** Setup will require an up-to-date version of [cmake](https://cmake.org/install/) to be installed on the machine and the executable to be in the system's PATH.

Optionally, run test suite (Python versions 3.9) using
[setuptools](https://setuptools.readthedocs.io/en/latest/) or
[tox](http://tox.readthedocs.io/en/latest/example/platform.html):

```bash
python setup.py test

or simply run

tox
```

Installation is via the program [pip](https://pypi.python.org/pypi/pip).

```bash
pip install rcsb.utils.insilico3d

or for the local repository:

pip install .
```

## References
1. [AlphaFold](https://alphafold.ebi.ac.uk/)
    * Jumper, J et al. Highly accurate protein structure prediction with AlphaFold. Nature (2021)
    * Varadi, M et al. AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models. Nucleic Acids Research (2021).
1. [ModBase](https://modbase.compbio.ucsf.edu/)
    * MODBASE, a database of annotated comparative protein structure models and associated resources. Ursula Pieper, Benjamin M. Webb, Guang Qiang Dong, Dina Schneidman-Duhovny, Hao Fan, Seung Joong Kim, Natalia Khuri, Yannick G. Spill, Patrick Weinkam, Michal Hammel, John A. Tainer, Michael Nilges, Andrej Sali Nucleic Acids Research 42, D336-46, 2014.
1. [SWISS-MODEL Repository](https://swissmodel.expasy.org/)
    * Bienert, S., Waterhouse, A., de Beer, T.A.P., Tauriello, G., Studer, G., Bordoli, L., Schwede, T. The SWISS-MODEL Repository - new features and functionality. Nucleic Acids Res. 45, D313-D319 (2017). 
    * Waterhouse, A., Bertoni, M., Bienert, S., Studer, G., Tauriello, G., Gumienny, R., Heer, F.T., de Beer, T.A.P., Rempfer, C., Bordoli, L., Lepore, R., Schwede, T. SWISS-MODEL: homology modelling of protein structures and complexes. Nucleic Acids Res. 46(W1), W296-W303 (2018). 

            

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