Litcius/Paper detail

Chemoinformatics and artificial intelligence colloquium: progress and challenges in developing bioactive compounds

Jürgen Bajorath, Ana L. Chávez‐Hernández, Miquel Duran‐Frigola, Eli Fernández‐de Gortari, Johann Gasteiger, Edgar López‐López, Gerald M. Maggiora, José L. Medina‐Franco, Oscar Méndez‐Lucio, Jordi Mestres, Ramón Alain Miranda‐Quintana, Tudor I. Oprea, Fabien Plisson, Fernando D. Prieto‐Martínez, Raquel Rodríguez-Pérez, Paola Rondón-Villarreal, Fernanda I. Saldívar‐González, Norberto Sánchez‐Cruz, Marília Valli

2022Journal of Cheminformatics38 citationsDOIOpen Access PDF

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/ .

Topics & Concepts

CheminformaticsComputer scienceData scienceArtificial intelligenceChemistryComputational chemistryComputational Drug Discovery MethodsMachine Learning in Materials ScienceGenetics, Bioinformatics, and Biomedical Research