---
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