NandaMatt commited on
Commit
52ae3fc
·
verified ·
1 Parent(s): e0e48e1

Upload folder from QSAR IA using huggingface_hub

Browse files
Files changed (1) hide show
  1. README.md +28 -18
README.md CHANGED
@@ -1,29 +1,39 @@
1
  ---
2
- license: mit
3
- tags:
4
- - qsar
5
- - cheminformatics
6
- - drug-discovery
7
- - machine-learning
8
- ---
 
 
 
 
 
 
 
 
 
 
 
9
 
10
- # About this model
11
 
12
- This model was generated using QSAR IA.
13
 
14
- ## Project Information
15
 
16
- - Researcher: FERNANDA CAETANO DE MATTOS BASTOS CUNHA
17
- - ORCID: 0009-0009-5070-4480
18
 
19
- ## Description
20
 
21
- Predictive model generated through QSAR IA.
22
 
23
- ## Citation
24
 
25
- If you use this model, please cite the associated researcher and//or publication.
26
 
27
- ## About QSAR IA
28
 
29
- https://github.com/altobellibm/qsar_ia_project
 
1
  ---
2
+ license: mit
3
+ tags:
4
+ - qsar
5
+ - cheminformatics
6
+ - drug-discovery
7
+ - machine-learning
8
+ ---
9
+
10
+ # 🧬 About this Model
11
+
12
+ 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.
13
+
14
+ ## 👤 Researcher Information
15
+
16
+ - **Researcher:** FERNANDA CAETANO DE MATTOS BASTOS CUNHA
17
+ - **ORCID:** 0009-0009-5070-4480
18
+
19
+ ## 📖 Description
20
 
21
+ This repository contains a predictive model developed using the QSAR IA platform.
22
 
23
+ The model has been published to facilitate scientific reproducibility, collaboration, and reuse by the research community.
24
 
25
+ ## 📚 Citation
26
 
27
+ If you use this model in your research, please cite the associated researcher and/or any related scientific publication.
 
28
 
29
+ ## 🔬 Scientific Reproducibility
30
 
31
+ This repository is part of the QSAR IA ecosystem, which aims to promote transparent and reproducible computational research in drug discovery and cheminformatics.
32
 
33
+ ## 🚀 About QSAR IA
34
 
35
+ QSAR IA is an open-source platform developed to support the complete lifecycle of QSAR and machine learning projects.
36
 
37
+ Project repository:
38
 
39
+ https://github.com/altobellibm/qsar_ia_project