Deep Learning based Models for Drug-Target Interactions
The typical drug development approach is slow, costly, and fraught with failure - scientists examine millions of compounds, but only a few make it to preclinical or clinical testing. Machine learning (ML), a subset of AI, is a fast-expanding subject many pharmaceutical businesses increasingly utili...
Saved in:
| Main Authors: | Ali K. Abdul Raheem, Ban N. Dhannoon |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
University of Baghdad, College of Science for Women
2024-11-01
|
| Series: | مجلة بغداد للعلوم |
| Subjects: | |
| Online Access: | https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/9212 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Barlow Twins deep neural network for advanced 1D drug–target interaction prediction
by: Maximilian G. Schuh, et al.
Published: (2025-02-01) -
QKDTI A quantum kernel based machine learning model for drug target interaction prediction
by: Gundala Pallavi, et al.
Published: (2025-07-01) -
Drug–target interaction prediction by integrating heterogeneous information with mutual attention network
by: Yuanyuan Zhang, et al.
Published: (2024-11-01) -
Predicting drug-target interactions using machine learning with improved data balancing and feature engineering
by: Md. Alamin Talukder, et al.
Published: (2025-06-01) -
Undeveloped Region in Target-Strategies and Potential in Antiviral Drug Discovery
by: Shaoqing Du, et al.
Published: (2025-03-01)