| --- |
| 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:** Caio dos Santos Fusco |
| - **ORCID:** 0009-0003-6416-9788 |
|
|
| ## 🔏 Authorship Seal |
|
|
| Each trained model in `projects/trains/<n>/model.pt` has a signed `autoria.json` next to it |
| (SHA-256 of the model + ORCID + Ed25519 signature). Unchanged models keep their original author; |
| retrained models carry the signed chain of previous authors. |
|
|
| - trains/1/model.pt: selo novo — autores: Caio dos Santos Fusco (0009-0003-6416-9788) |
|
|
| ## 📖 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 |
