期刊
JOURNAL OF CHEMINFORMATICS
卷 14, 期 1, 页码 -出版社
BMC
DOI: 10.1186/s13321-022-00661-0
关键词
ADME profile; Antibiotic resistance; Artificial intelligence; Career development; Drug discovery; Machine learning; Ligand-based drug design; Natural products; Peptides; Structure-based drug design; Virtual screening
类别
资金
- School of Chemistry of the National Autonomous University of Mexico
The main conclusions of the first Chemoinformatics and Artificial Intelligence Colloquium include discussions on applications, challenges, and opportunities in drug discovery, de novo drug design, ADME-Tox property predictions, organic chemistry, peptides, and antibiotic resistance. The event attracted speakers from industry, academia, and non-for-profit organizations, as well as 1290 students and academics from over 60 countries.
We report the main conclusions of the first Chemoinformatics and Artificial Intelligence Colloquium, Mexico City, June 15-17, 2022. Fifteen lectures were presented during a virtual public event with speakers from industry, academia, and non-for-profit organizations. Twelve hundred and ninety students and academics from more than 60 countries. During the meeting, applications, challenges, and opportunities in drug discovery, de novo drug design, ADME-Tox (absorption, distribution, metabolism, excretion and toxicity) property predictions, organic chemistry, peptides, and antibiotic resistance were discussed.
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