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Update licensing information in README.md
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althonos committed Apr 16, 2024
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## 🗺️ Overview

Jess is an algorithm for constraint-based structural template matching
proposed by Barker *et al.*[\[1\]](#ref1). It can be used to identify
proposed by Jonathan Barker *et al.*[\[1\]](#ref1). It can be used to identify
catalytic residues from a known template inside a protein structure. Jess
is an evolution of TESS, a geometric hashing algorithm developed by
Wallace *et al.*[\[2\]](#ref2), removing some pre-computation and structural
requirements from the original algorithm.
Andrew Wallace *et al.*[\[2\]](#ref2), removing some pre-computation and
structural requirements from the original algorithm. Jess was further
updated and maintained by [Ioannis Riziotis](https://github.com/iriziotis)
during his PhD in the [Thornton group](https://www.ebi.ac.uk/research/thornton/).

PyJess is a Python module that provides bindings to Jess using
[Cython](https://cython.org/). It allows creating templates, querying them
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## ⚖️ License

The Cython code and the patches for building the Jess code are provided
under the [MIT license](https://choosealicense.com/licenses/mit/).

*⚠️ The JESS code does not have clear licensing. The 2003 paper describing the
implementation states the the authors intention to **release Jess under a restricted open source license in the near future**, but the repository
hosting the code still does not have a license as of March 2024. At the moment
this prevents redistribution of the Jess source on [PyPI](https://pypi.org/).*
This library is provided under the [MIT License](https://choosealicense.com/licenses/mit/). The JESS code is distributed under the [MIT License](https://choosealicense.com/licenses/mit/) as well.

*This project is in no way not affiliated, sponsored, or otherwise endorsed
by the JESS authors. It was developed
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