Graph convolutional neural networks improved target-specific scoring functions for cGAS and kRAS in virtual screening
In the drug discovery process, traditional structure-based virtual screening methods, such as molecular docking, are often limited by empirical scoring functions. Recent studies have demonstrated that target-specific scoring functions developed using machine learning approaches can enhance the accur...
Saved in:
| Main Authors: | Bo Wang, Muhammad Junaid, Wenjin Li |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-01-01
|
| Series: | Computational and Structural Biotechnology Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2001037025001886 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The cGAS-STING pathway in atherosclerosis
by: Si-yu Wang, et al.
Published: (2025-04-01) -
Correction: The cGAS-STING pathway in atherosclerosis
by: Si-yu Wang, et al.
Published: (2025-06-01) -
Elevated KRAS protein level is associated with better survival in pancreatic cancer
by: S. M. Stålberg, et al.
Published: (2025-07-01) -
KRAS4B is required for placental development
by: Marie-Albane Minati, et al.
Published: (2025-08-01) -
Targeting KRAS: from metabolic regulation to cancer treatment
by: Yanyan Shi, et al.
Published: (2025-01-01)