Spaces:
Running
Running
Update app.py
Browse files
app.py
CHANGED
|
@@ -194,19 +194,20 @@ with gr.Blocks(theme=gr.themes.Ocean()) as demo:
|
|
| 194 |
gr.Markdown("# DrugGEN: Target Centric De Novo Design of Drug Candidate Molecules with Graph Generative Deep Adversarial Networks")
|
| 195 |
|
| 196 |
gr.HTML("""
|
| 197 |
-
|
| 198 |
-
|
| 199 |
-
|
| 200 |
-
|
| 201 |
-
|
| 202 |
-
|
| 203 |
-
|
| 204 |
-
|
| 205 |
-
|
| 206 |
-
|
| 207 |
-
|
| 208 |
-
|
| 209 |
-
|
|
|
|
| 210 |
|
| 211 |
<!-- GitHub badge -->
|
| 212 |
<a href="https://github.com/HUBioDataLab/DrugGEN" target="_blank" style="text-decoration: none;">
|
|
@@ -240,8 +241,9 @@ with gr.Blocks(theme=gr.themes.Ocean()) as demo:
|
|
| 240 |
- Useful for exploring chemical space, generating diverse scaffolds, and creating molecules with drug-like properties.
|
| 241 |
|
| 242 |
|
| 243 |
-
For more details, see our [paper on
|
| 244 |
-
|
|
|
|
| 245 |
|
| 246 |
with gr.Accordion("Understanding the Metrics", open=False):
|
| 247 |
gr.Markdown("""
|
|
|
|
| 194 |
gr.Markdown("# DrugGEN: Target Centric De Novo Design of Drug Candidate Molecules with Graph Generative Deep Adversarial Networks")
|
| 195 |
|
| 196 |
gr.HTML("""
|
| 197 |
+
<div style="display: flex; gap: 10px; margin-bottom: 15px;">
|
| 198 |
+
<!-- Nature Machine Intelligence badge -->
|
| 199 |
+
<a href="https://www.nature.com/articles/s42256-025-01082-y" target="_blank" style="text-decoration: none;">
|
| 200 |
+
<div style="
|
| 201 |
+
display: inline-block;
|
| 202 |
+
background-color: #006d5b;
|
| 203 |
+
color: #ffffff !important;
|
| 204 |
+
padding: 5px 10px;
|
| 205 |
+
border-radius: 5px;
|
| 206 |
+
font-size: 14px;">
|
| 207 |
+
<span style="font-weight: bold;">Nature</span> Machine Intelligence
|
| 208 |
+
</div>
|
| 209 |
+
</a>
|
| 210 |
+
</div>
|
| 211 |
|
| 212 |
<!-- GitHub badge -->
|
| 213 |
<a href="https://github.com/HUBioDataLab/DrugGEN" target="_blank" style="text-decoration: none;">
|
|
|
|
| 241 |
- Useful for exploring chemical space, generating diverse scaffolds, and creating molecules with drug-like properties.
|
| 242 |
|
| 243 |
|
| 244 |
+
For more details, see our [paper on *Nature Machine Intelligence*](https://www.nature.com/articles/s42256-025-01082-y).
|
| 245 |
+
You can also access the [full-text online read version (PDF)](https://www.nature.com/articles/s42256-025-01082-y.epdf?sharing_token=bBVnlnZabD8FPXynnlbEa9RgN0jAjWel9jnR3ZoTv0MOagXTn27vLVloLjCccXj0nzhwrmuR31o-E7RYhzLWbxKZbwmIHhjdjLgJG3Q2AOnkRhIv4r0-N4wiBgFqx9A8_Xo76WCGo_0-1AIjN5rizV12fj7TtkJuo_49OxmCcZY%3D).
|
| 246 |
+
""")
|
| 247 |
|
| 248 |
with gr.Accordion("Understanding the Metrics", open=False):
|
| 249 |
gr.Markdown("""
|