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: