Identification of nanomolar adenosine A2A receptor ligands using reinforcement learning and structure-based drug design
Abstract Generative chemical language models (CLMs) have demonstrated success in learning language-based molecular representations for de novo drug design. Here, we integrate structure-based drug design (SBDD) principles with CLMs to go from protein structure to novel small-molecule ligands, without...
| Published in: | Nature Communications |
|---|---|
| Main Authors: | , , , , , , , , , , , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Online Access: | https://doi.org/10.1038/s41467-025-60629-0 |
