Chemoinformatics and artificial intelligence colloquium: progress and challenges in developing bioactive compounds
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Abstract
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/ .
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References 86 · Cited by 38
- Authors
- Bajorath, J., Chávez-Hernández, A. L., Duran-Frigola, M., Fernández-de Gortari, E., Gasteiger, J., López-López, E., Maggiora, G. M., Medina-Franco, J. L., Méndez-Lucio, O., Mestres, J., Miranda-Quintana, R. A., Oprea, T. I., Plisson, F., Prieto-Martínez, F. D., Rodríguez-Pérez, R., Rondón-Villarreal, P., Saldívar-Gonzalez, F. I., Sánchez-Cruz, N., & Valli, M.
- Affiliations
- University of Bonn (DE)
- Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
- University of Arizona (US)
- Universitat Pompeu Fabra (ES)
- University of Copenhagen (DK)
- Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (MX)
- Universidad Nacional Autónoma de México (MX)
- Novartis Institutes for BioMedical Research (CH)
- Universidad De Santander (CO)
- ORCID
- Venue
- Journal of Cheminformatics
- Published
- 2022-12-02
- Volume
- 14
- Issue
- 1
- Pages
- 82-82
- ISSN
- 1758-2946 (ISSN-L)
- PMC
- PMC9716667
- OpenAlex
- W4311104054
- Cited by
- 38
- References
- 86
- Citations by year
- 2026: 2 · 2025: 12 · 2024: 12 · 2023: 10 · 2022: 2
- FWCI
- 4.86
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Journal of Cheminformatics (publishedVersion, cc-by)
- ChemRxiv (acceptedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, cc-by)
- Repositori digital de la UPF (Universitat Pompeu Fabra) (publishedVersion, cc-by)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (publishedVersion, other-oa)
- UA Campus Repository (The University of Arizona) (acceptedVersion, cc-by)
- OPUS Repository (Kooperativer Bibliotheksverbund Berlin-Brandenburg) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- The Novartis Repository (Novartis) (submittedVersion)
- Greater South Information System
- Funders
- Universidad Nacional Autónoma de México
- Topics
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
- Physical Sciences › Materials Science › Materials Chemistry › Machine Learning in Materials Science
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › vaccines and immunoinformatics approaches
- Keywords
- cheminformatics, artificial intelligence, drug discovery, de novo drug design, ADMET prediction, organic chemistry, peptides, antibiotic resistance, bioactive compounds
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