AI based natural inhibitor targeting RPS20 for colorectal cancer treatment using integrated computational approaches
Abstract The increasing global incidence of cancer emphasizes the vital role of machine learning algorithms and artificial intelligence (AI) in identifying novel anticancer targets and developing new drugs. Computational approaches can significantly quicken research on complex disorders, enabling th...
Saved in:
| Main Authors: | Nouman Ali, Roman Akbar, Amna Saleem, Adeeba Ali, Aamir Ali |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-07574-6 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Anxiolytic Efficacy of Indirubin: In Vivo Approach Along with Receptor Binding Profiling and Molecular Interaction with GABAergic Pathways
by: Ishrat Jahan Disha, et al.
Published: (2025-02-01) -
Regulation of Hindbrain Vascular Development by <i>rps20</i> in Zebrafish
by: Xinyu Shen, et al.
Published: (2025-07-01) -
Multi-omics profiling of metastatic colorectal cancer reveals the transcriptional network of focal adhesion and immune suppression and the role of p-RPS6
by: Yimei Jiang, et al.
Published: (2025-08-01) -
Elucidation of Callistemon lanceolatus-derived natural compounds in STAT 3 pathway against human cancer cells: in silico and in vitro studies
by: Mubashir Zafar, et al.
Published: (2025-02-01) -
Identification and evaluation of pyrimidine based CDK6 inhibitors against glioblastoma using integrated computational approaches
by: Hina Manzoor, et al.
Published: (2025-07-01)