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Related Experiment Video

Updated: May 21, 2026

Isolation and Th17 Differentiation of Naïve CD4 T Lymphocytes
12:59

Isolation and Th17 Differentiation of Naïve CD4 T Lymphocytes

Published on: September 26, 2013

A 24-Day MicroCycle Journey to Interleukin-17 Inhibitors: From Library Design to Central Core Prioritization and

Sophie Racine1, Odile Decoret1, Marco Palmieri1

  • 1Novartis Biomedical Research, Basel, Switzerland.

Chemmedchem
|May 20, 2026
PubMed
Summary

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Automation of Multistep Reaction-Based Solid-Phase Synthesis Using Novel Polystyrene-Coated Magnetic Particles.

Chemistry (Weinheim an der Bergstrasse, Germany)·2025

The MicroCycle platform accelerates chemical space exploration using machine learning and automation. It identified promising thiazole compounds targeting interleukin-17 for drug development.

Area of Science:

  • Medicinal Chemistry
  • Drug Discovery
  • Computational Chemistry

Background:

  • Interleukin-17 (IL-17) is a key cytokine implicated in various inflammatory and autoimmune diseases.
  • Targeting IL-17 offers a therapeutic strategy for conditions like psoriasis and rheumatoid arthritis.
  • Efficient exploration of chemical space is crucial for identifying novel IL-17 inhibitors.

Purpose of the Study:

  • To apply the MicroCycle platform for accelerated discovery of novel thiazole-based compounds.
  • To identify potent inhibitors targeting interleukin-17.
  • To guide lead optimization through rapid prioritization of chemical scaffolds and capping groups.

Main Methods:

  • Utilized the MicroCycle platform, integrating machine learning, automation, and miniaturized processes.
Keywords:
IL‐17MicroCycledata collectionlibrary designparallel medicinal chemistry

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Last Updated: May 21, 2026

Isolation and Th17 Differentiation of Naïve CD4 T Lymphocytes
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Isolation and Th17 Differentiation of Naïve CD4 T Lymphocytes

Published on: September 26, 2013

Predictive Immune Modeling of Solid Tumors
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  • Synthesized and screened libraries of novel thiazole-based compounds.
  • Employed computational models for rapid prioritization of central cores and capping groups.

    • Main Results:

    • Successfully applied the MicroCycle platform to a novel thiazole series.
    • Identified compelling new capping groups for enhanced target engagement.
    • Demonstrated rapid prioritization of central cores, accelerating the drug discovery pipeline.
    • Generated data guiding further optimization of IL-17 inhibitors.

    Conclusions:

    • The MicroCycle platform significantly accelerates the exploration of chemical space for drug discovery.
    • This approach is effective for identifying novel inhibitors of interleukin-17.
    • The methodology facilitates rapid lead optimization, advancing therapeutic development for IL-17-mediated diseases.