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AI-powered therapeutic target discovery
Disease modeling and target identification are the most crucial initial steps in drug
discovery, and influence the probability of success at every step of drug development …
discovery, and influence the probability of success at every step of drug development …
Artificial intelligence for drug discovery: are we there yet?
Drug discovery is adapting to novel technologies such as data science, informatics, and
artificial intelligence (AI) to accelerate effective treatment development while reducing costs …
artificial intelligence (AI) to accelerate effective treatment development while reducing costs …
A small-molecule TNIK inhibitor targets fibrosis in preclinical and clinical models
Idiopathic pulmonary fibrosis (IPF) is an aggressive interstitial lung disease with a high
mortality rate. Putative drug targets in IPF have failed to translate into effective therapies at …
mortality rate. Putative drug targets in IPF have failed to translate into effective therapies at …
AlphaFold accelerates artificial intelligence powered drug discovery: efficient discovery of a novel CDK20 small molecule inhibitor
The application of artificial intelligence (AI) has been considered a revolutionary change in
drug discovery and development. In 2020, the AlphaFold computer program predicted …
drug discovery and development. In 2020, the AlphaFold computer program predicted …
PandaOmics: an AI-driven platform for therapeutic target and biomarker discovery
PandaOmics is a cloud-based software platform that applies artificial intelligence and
bioinformatics techniques to multimodal omics and biomedical text data for therapeutic …
bioinformatics techniques to multimodal omics and biomedical text data for therapeutic …
From understanding diseases to drug design: can artificial intelligence bridge the gap?
Artificial intelligence (AI) has emerged as a transformative technology with significant
potential to revolutionize disease understanding and drug design in healthcare. AI serves as …
potential to revolutionize disease understanding and drug design in healthcare. AI serves as …
Revolutionizing drug discovery: A comprehensive review of AI applications
The drug discovery and development process is very lengthy, highly expensive, and
extremely complex in nature. Considering the time and cost constraints associated with …
extremely complex in nature. Considering the time and cost constraints associated with …
Intestinal mucosal barrier repair and immune regulation with an AI-developed gut-restricted PHD inhibitor
Y Fu, X Ding, M Zhang, C Feng, Z Yan, F Wang… - Nature …, 2024 - nature.com
Hypoxia-inducible factor prolyl hydroxylase (PHD) inhibitors have been approved for
treating renal anemia yet have failed clinical testing for inflammatory bowel disease because …
treating renal anemia yet have failed clinical testing for inflammatory bowel disease because …
Integrating artificial intelligence into the modernization of traditional Chinese medicine industry: a review
E Zhou, Q Shen, Y Hou - Frontiers in pharmacology, 2024 - frontiersin.org
Traditional Chinese medicine (TCM) is the practical experience and summary of the
Chinese nation for thousands of years. It shows great potential in treating various chronic …
Chinese nation for thousands of years. It shows great potential in treating various chronic …
A comprehensive AI‐driven analysis of large‐scale omic datasets reveals novel dual‐purpose targets for the treatment of cancer and aging
As aging and tumorigenesis are tightly interconnected biological processes, targeting their
common underlying driving pathways may induce dual‐purpose anti‐aging and anti‐cancer …
common underlying driving pathways may induce dual‐purpose anti‐aging and anti‐cancer …