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Sep 24, 2025
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6 changes: 3 additions & 3 deletions README.md
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Expand Up @@ -193,9 +193,9 @@ For a deep dive, please see our detailed guides:

### 🤔 Why ChemInformant?

> ChemInformant's core mission is to serve as a high-performance data backbone for the Python cheminformatics ecosystem. By delivering clean, validated, and analysis-ready Pandas DataFrames, it enables researchers to effortlessly pipe PubChem data into powerful toolkits like RDKit, Scikit-learn, or custom machine learning models, transforming multi-step data acquisition and wrangling tasks into single, elegant lines of code.

A detailed comparison with other existing tools is provided in our [JOSS paper](https://github.com/HzaCode/ChemInformant/blob/main/paper/paper.md).
> ChemInformant's core mission is to serve as a high-performance data backbone for the Python cheminformatics ecosystem. As a software package that has undergone rigorous peer review by both the [Journal of Open Source Software (JOSS)](https://doi.org/10.21105/joss.08341) and [pyOpenSci](https://github.com/pyOpenSci/software-submission/issues/254), it delivers clean, validated, and analysis-ready Pandas DataFrames. This enables researchers to effortlessly pipe PubChem data into powerful toolkits like RDKit, Scikit-learn, or custom machine learning models, transforming multi-step data acquisition and wrangling tasks into single, elegant lines of code.
>
> A detailed comparison with other existing tools is provided in our [JOSS paper](https://github.com/HzaCode/ChemInformant/blob/main/paper/paper.md).

### 🤝 Contributing

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