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Drug discovery is a multifaceted process involving extensive screening, testing, and optimization of lead compounds to identify potential new drugs for therapeutic use. It combines several approaches, including screening large numbers of natural products, chemical modification of known active molecules, identification of new drug targets, and rational design based on biological mechanisms and drug-receptor structure. These approaches are carried out in both academic research laboratories and...
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Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
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Updated: Aug 19, 2025

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

Jürgen Bajorath1, Ana L Chávez-Hernández2, Miquel Duran-Frigola3,4

  • 1Department of Life Science Informatics, B-IT, LIMES Program Unit Chemical Biology and Medicinal Chemistry, Rheinische Friedrich-Wilhelms-Universität, Friedrich-Hirzebruch-Allee 5/6, 53113, Bonn, Germany.

Journal of Cheminformatics
|December 2, 2022
PubMed
Summary
This summary is machine-generated.

The first Chemoinformatics and Artificial Intelligence Colloquium convened experts to discuss AI applications in drug discovery, property predictions, and antibiotic resistance. Key challenges and opportunities were explored, with all sessions freely available online.

Keywords:
ADME profileAntibiotic resistanceArtificial intelligenceCareer developmentDrug discoveryLigand-based drug designMachine learningNatural productsPeptidesStructure-based drug designVirtual screening

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Area of Science:

  • Chemoinformatics
  • Artificial Intelligence
  • Computational Chemistry

Background:

  • The first Chemoinformatics and Artificial Intelligence Colloquium was held virtually from Mexico City, June 15-17, 2022.
  • The event featured fifteen lectures from industry, academia, and non-profit organizations.
  • Over 1290 students and academics from more than 60 countries attended.

Purpose of the Study:

  • To discuss current applications, challenges, and future opportunities at the intersection of chemoinformatics and artificial intelligence.
  • To foster collaboration and knowledge sharing among international researchers and students.
  • To highlight advancements in key areas like drug discovery and property prediction.

Main Methods:

  • A virtual public event format was utilized.
  • Fifteen lectures were presented by diverse speakers.
  • Discussions covered a range of specialized topics within chemoinformatics and AI.

Main Results:

  • Key areas of discussion included drug discovery, de novo drug design, and ADME-Tox property predictions.
  • The colloquium also addressed applications in organic chemistry, peptide research, and antibiotic resistance.
  • The event facilitated a broad exchange of ideas on the role of AI in chemical sciences.

Conclusions:

  • The colloquium successfully brought together a global audience to discuss the burgeoning field of chemoinformatics and AI.
  • Significant opportunities exist for AI to revolutionize various aspects of chemical research and development.
  • The freely available program and recordings will extend the impact of the discussions to a wider audience.