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