Drug discovery

Miller, Susan M.; Moos, Walter H.; Munk, Barbara H.; Munk, Stephen A.

doi:10.1016/b978-0-08-100625-2.00011-8

Cited by 2 publications

(1 citation statement)

References 642 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The process of traditional drug discovery includes drug targets identification, lead compounds discovery, preclinical studies (ADMET prediction), clinical trials (phase I, II, III) and new drugs application and approval (Miller et al, 2023), as shown in Figure 2. The process of new TCM discovery is similar, which needs preclinical research and clinical research before it can be approved.…”

Section: The Process Of Drug Discoverymentioning

confidence: 99%

Integrating artificial intelligence into the modernization of traditional Chinese medicine industry: a review

Zhou,

Shen,

Hou

2024

Front. Pharmacol.

View full text Add to dashboard Cite

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 diseases, complex diseases and major infectious diseases, and has gradually attracted the attention of people all over the world. However, due to the complexity of prescription and action mechanism of TCM, the development of TCM industry is still in a relatively conservative stage. With the rise of artificial intelligence technology in various fields, many scholars began to apply artificial intelligence technology to traditional Chinese medicine industry and made remarkable progress. This paper comprehensively summarizes the important role of artificial intelligence in the development of traditional Chinese medicine industry from various aspects, including new drug discovery, data mining, quality standardization and industry technology of traditional Chinese medicine. The limitations of artificial intelligence in these applications are also emphasized, including the lack of pharmacological research, database quality problems and the challenges brought by human-computer interaction. Nevertheless, the development of artificial intelligence has brought new opportunities and innovations to the modernization of traditional Chinese medicine. Integrating artificial intelligence technology into the comprehensive application of Chinese medicine industry is expected to overcome the major problems faced by traditional Chinese medicine industry and further promote the modernization of the whole traditional Chinese medicine industry.

show abstract

Section: The Process Of Drug Discoverymentioning

confidence: 99%

Integrating artificial intelligence into the modernization of traditional Chinese medicine industry: a review

Zhou,

Shen,

Hou

2024

Front. Pharmacol.

View full text Add to dashboard Cite

show abstract

Computational Support of Medicinal Chemistry in Industrial Settings

Ortwine¹

2017

Methods in Molecular Biology

View full text Add to dashboard Cite

The practice of computational chemistry in an industrial setting poses unique opportunities and challenges. Industrial computational chemists must manage large amounts of data, master modeling software, write scripts to perform custom calculations, and stay abreast of scientific advances in the field. Just as importantly, because computational chemists are full partners in the drug discovery effort at companies, in order to influence and streamline the drug discovery process, they must communicate effectively with medicinal chemists and other scientists to deliver results of their calculations in a timely fashion. The skills necessary to play this role require education that emphasizes a combination of chemistry, programming, and communication skills. Professors are encouraged to incorporate such training in their curriculum.

show abstract

Drug discovery

Cited by 2 publications

References 642 publications

Integrating artificial intelligence into the modernization of traditional Chinese medicine industry: a review

Integrating artificial intelligence into the modernization of traditional Chinese medicine industry: a review

Computational Support of Medicinal Chemistry in Industrial Settings

Contact Info

Product

Resources

About