STELLA provides a drug design framework enabling extensive fragment-level chemical space exploration and balanced multi-parameter optimization
Abstract In drug discovery, identifying molecules with desired pharmacological properties remains challenging, as conventional methods often rely on exhaustive trial-and-error and limited exploration of chemical space. Here, we present STELLA, a metaheuristics-based generative molecular design frame...
Saved in:
| Main Authors: | Hokyun Jeon, Jin Gyu Lee, Wonseok Shin, Hyunjun Ji, InSuk Joung, Hui Sun Lee |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-08-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-12685-1 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Discovering and Exploiting Skills in Hierarchical Reinforcement Learning
by: Zhigang Huang
Published: (2024-01-01) -
The Effect of the Reading Circle Method on Curiosity and Exploration, Creative Reading and Visual Literacy
by: Yasemin Baki
Published: (2025-06-01) -
Analysis of the current status of global oil, gas, and associated resources exploration in 2023
by: Zhixin WEN, et al.
Published: (2024-12-01) -
A Novel Improved Binary Optimization Algorithm and Its Application in FS Problems
by: Boyuan Wu, et al.
Published: (2025-02-01) -
LAX phases: A family of novel stable layered materials, informatics‐based discovery
by: Ehsan Alibagheri, et al.
Published: (2025-07-01)