Drug repositioning in the AI-driven era: data, approaches, and challenges DOI
Jing Wang,

Siming Kong,

Xiaochen Bo

et al.

IntechOpen eBooks, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 27, 2024

The advent of artificial intelligence (AI) has revolutionized drug repositioning, transforming it into an indispensable strategy for accelerating discovery. This chapter offers in-depth exploration the multifaceted landscape repositioning in AI era, emphasizing profound influence on this domain and providing a roadmap future research. Beginning with brief summary data that form bedrock field, biomedical databases encompassing drugs, diseases, molecular targets, clinical are introduced detail. Then experimental computational approaches underpin further dissected, ranging from binding assays or phenotypic screening to multi-omics methodologies silico technologies, emphasis AI-driven methods. Subsequently, successful cases across diverse diseases highlighted. Finally, importance fully leveraging address challenges is underscored.

Language: Английский

The effect of silver nitrate on the alkaline phosphatase activity, TNF and IL-10 gene expression; Experimental and computational studies DOI Creative Commons
Nurul Jadid,

Ali Asghar Moshtaghie,

Hashem Nayeri

et al.

Heliyon, Journal Year: 2025, Volume and Issue: unknown, P. e42132 - e42132

Published: Jan. 1, 2025

Language: Английский

Citations

0
Novel fullerene-lysine derivative with the noticeable ROS scavenging capability for improving type 2 diabetes mellitus DOI Creative Commons
J. Weng, Wei Guo, Jie Liu

et al.

Nanoscale Advances, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

C 60 -Lys reduces oxidative stress in pancreatic islet cells by lowering excess ROS through effects on gene expression, antioxidant enzymes, and MMP, thereby restoring cell function, morphology, glucose homeostasis, improving T2DM.

Language: Английский

Citations

0
Food-derived glycopeptides: structural insights, glycosylation-driven bioactivity, and translational potential in health and functional applications DOI
Qianqian Huang,

Chunyong Song,

Zhongqin Chen

et al.

Trends in Food Science & Technology, Journal Year: 2025, Volume and Issue: 161, P. 105054 - 105054

Published: April 28, 2025

Language: Английский

Citations

0
Glucagon-like peptide-1: a new potential regulator for mesenchymal stem cells in the treatment of type 2 diabetes mellitus and its complication DOI Creative Commons
Zewei Shao, Xiaoguang Zhang, Junrong Cai

et al.

Stem Cell Research & Therapy, Journal Year: 2025, Volume and Issue: 16(1)

Published: May 19, 2025

Language: Английский

Citations

0
Comprehensive assessment of phytochemicals and bioactivities in sprouts DOI

Mahvash Afshari,

Morteza Sadeghi, Md Faruk Ahmed

et al.

Food Bioscience, Journal Year: 2024, Volume and Issue: unknown, P. 105486 - 105486

Published: Nov. 1, 2024

Language: Английский

Citations

2
Drug repositioning in the AI-driven era: data, approaches, and challenges DOI
Jing Wang,

Siming Kong,

Xiaochen Bo

et al.

IntechOpen eBooks, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 27, 2024

The advent of artificial intelligence (AI) has revolutionized drug repositioning, transforming it into an indispensable strategy for accelerating discovery. This chapter offers in-depth exploration the multifaceted landscape repositioning in AI era, emphasizing profound influence on this domain and providing a roadmap future research. Beginning with brief summary data that form bedrock field, biomedical databases encompassing drugs, diseases, molecular targets, clinical are introduced detail. Then experimental computational approaches underpin further dissected, ranging from binding assays or phenotypic screening to multi-omics methodologies silico technologies, emphasis AI-driven methods. Subsequently, successful cases across diverse diseases highlighted. Finally, importance fully leveraging address challenges is underscored.

Language: Английский

Citations

0