Integrating Synthetic Accessibility Scoring and AI-Based Retrosynthesis Analysis to Evaluate AI-Generated Drug Molecules Synthesizability
<b>Background:</b> One of the challenges of applying artificial intelligence (AI) methods to drug discovery is the difficulty of laboratory synthesizability for many AI-discovered molecules. Often, in silico techniques and metrics such as the computationally enabled synthesizability scor...
Saved in:
| Main Authors: | Mokete Motente, Uche A. K. Chude-Okonkwo |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
|
| Series: | Drugs and Drug Candidates |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2813-2998/4/2/26 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Generating diversity and securing completeness in algorithmic retrosynthesis
by: Florian Mrugalla, et al.
Published: (2025-05-01) -
Comparative analysis of retrosynthesis applications for predicting of pathways for plant Secondary metabolite production
by: Nilay Yonet, et al.
Published: (2024-12-01) -
Impact of data bias on machine learning for crystal compound synthesizability predictions
by: Ali Davariashtiyani, et al.
Published: (2024-01-01) -
Improving route development using convergent retrosynthesis planning
by: Paula Torren-Peraire, et al.
Published: (2025-02-01) -
A 0.8–1.4-GHz Synthesizable DPLL Using a Background Gain Mismatch Calibrated Feedforward Phase Noise Cancellation
by: Waleed Madany, et al.
Published: (2025-01-01)