Chemoinformatics and artificial intelligence colloquium: progress and challenges in developing bioactive compounds.
ADME profile
Antibiotic resistance
Artificial intelligence
Career development
Drug discovery
Ligand-based drug design
Machine learning
Natural products
Peptides
Structure-based drug design
Virtual screening
Journal
Journal of cheminformatics
ISSN: 1758-2946
Titre abrégé: J Cheminform
Pays: England
ID NLM: 101516718
Informations de publication
Date de publication:
02 Dec 2022
02 Dec 2022
Historique:
received:
09
08
2022
accepted:
25
11
2022
entrez:
2
12
2022
pubmed:
3
12
2022
medline:
3
12
2022
Statut:
epublish
Résumé
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. The program along with the recordings of all sessions are freely available at https://www.difacquim.com/english/events/2022-colloquium/ .
Identifiants
pubmed: 36461094
doi: 10.1186/s13321-022-00661-0
pii: 10.1186/s13321-022-00661-0
pmc: PMC9716667
doi:
Types de publication
Journal Article
Langues
eng
Pagination
82Informations de copyright
© 2022. The Author(s).
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