| ---
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| license: mit
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| tags:
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| - qsar
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| - cheminformatics
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| - drug-discovery
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| - machine-learning
|
| ---
|
|
|
| # 🧬 About this Model
|
|
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| This model was generated and shared through **QSAR IA**, an open-source platform designed to support QSAR studies, machine learning workflows, and scientific collaboration in cheminformatics and pharmaceutical research.
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|
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| ## 👤 Researcher Information
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|
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| - **Researcher:** FERNANDA CAETANO DE MATTOS BASTOS CUNHA
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| - **ORCID:** 0009-0009-5070-4480
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|
|
| ## 📖 Description
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|
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| This repository contains a predictive model developed using the QSAR IA platform.
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|
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| The model has been published to facilitate scientific reproducibility, collaboration, and reuse by the research community.
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|
|
| ## 📚 Citation
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|
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| If you use this model in your research, please cite the associated researcher and/or any related scientific publication.
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|
|
| ## 🔬 Scientific Reproducibility
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|
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| This repository is part of the QSAR IA ecosystem, which aims to promote transparent and reproducible computational research in drug discovery and cheminformatics.
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|
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| ## 🚀 About QSAR IA
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|
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| QSAR IA is an open-source platform developed to support the complete lifecycle of QSAR and machine learning projects.
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| Project repository:
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|
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| https://github.com/altobellibm/qsar_ia_project |
