Merge pull request #425 from chemprop/update_readme

added chemprop manuscript to readme

README.md

@@ -5,7 +5,7 @@
 [![PyPI version](https://badge.fury.io/py/chemprop.svg)](https://badge.fury.io/py/chemprop)
 [![Build Status](https://github.com/chemprop/chemprop/workflows/tests/badge.svg)](https://github.com/chemprop/chemprop)
 
-This repository contains message passing neural networks for molecular property prediction as described in the paper [Analyzing Learned Molecular Representations for Property Prediction](https://pubs.acs.org/doi/abs/10.1021/acs.jcim.9b00237) and as used in the paper [A Deep Learning Approach to Antibiotic Discovery](https://www.cell.com/cell/fulltext/S0092-8674(20)30102-1) for molecules and [Machine Learning of Reaction Properties via Learned Representations of the Condensed Graph of Reaction](https://doi.org/10.1021/acs.jcim.1c00975) for reactions.
+This repository contains message passing neural networks for molecular property prediction as initially described in the paper [Analyzing Learned Molecular Representations for Property Prediction](https://pubs.acs.org/doi/abs/10.1021/acs.jcim.9b00237) and as used in the paper [A Deep Learning Approach to Antibiotic Discovery](https://www.cell.com/cell/fulltext/S0092-8674(20)30102-1) for molecules and [Machine Learning of Reaction Properties via Learned Representations of the Condensed Graph of Reaction](https://doi.org/10.1021/acs.jcim.1c00975) for reactions. Chemprop now also has its own dedicated manuscript: [Chemprop: Machine Learning Package for Chemical Property Prediction](https://doi.org/10.26434/chemrxiv-2023-3zcfl). Please cite us if Chemprop is helpful to your research.
 
 **Documentation:** Full documentation of Chemprop is available at https://chemprop.readthedocs.io/en/latest/.