Advances in next-generation sequencing (NGS) applications in drug discovery and development DOI
Huihong Wang,

Jiale Huang,

Xianfu Fang

et al.

Expert Opinion on Drug Discovery, Journal Year: 2025, Volume and Issue: unknown

Published: March 18, 2025

Drug discovery is a complex and multifaceted process driven by scientific innovation advanced technologies. Next-Generation Sequencing (NGS) platforms, encompassing both short-read long-read technologies, have revolutionized the field enabling high-throughput cost-effective analysis of DNA RNA molecules. Continuous advancements in NGS-based technologies enabled their seamless integration across preclinical clinical workflows drug discovery, early-stage target identification, candidate selection, genetically stratified trials, pharmacogenetic studies. This review provides an overview current potential applications development process, including roles novel screening, medication The based on literature retrieval from PubMed Web Science databases between 2018 2024. As advance rapidly, NGS enhances accuracy generates vast datasets. These datasets are extensively integrated with other heterogeneous data systems biology mined using machine learning to extract significant insights, thereby driving progress discovery.

Language: Английский

Advances in next-generation sequencing (NGS) applications in drug discovery and development DOI
Huihong Wang,

Jiale Huang,

Xianfu Fang

et al.

Expert Opinion on Drug Discovery, Journal Year: 2025, Volume and Issue: unknown

Published: March 18, 2025

Drug discovery is a complex and multifaceted process driven by scientific innovation advanced technologies. Next-Generation Sequencing (NGS) platforms, encompassing both short-read long-read technologies, have revolutionized the field enabling high-throughput cost-effective analysis of DNA RNA molecules. Continuous advancements in NGS-based technologies enabled their seamless integration across preclinical clinical workflows drug discovery, early-stage target identification, candidate selection, genetically stratified trials, pharmacogenetic studies. This review provides an overview current potential applications development process, including roles novel screening, medication The based on literature retrieval from PubMed Web Science databases between 2018 2024. As advance rapidly, NGS enhances accuracy generates vast datasets. These datasets are extensively integrated with other heterogeneous data systems biology mined using machine learning to extract significant insights, thereby driving progress discovery.

Language: Английский

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