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Artificial Macrocycles as IL-17A/IL-17RA Antagonists
Wenjia Wang1, Matthew R Groves1, Alexander Dömling1
1Department of Drug Design, University of Groningen, A. Deusinglaan 1, Groningen, The Netherlands.
Artificial macrocycles show promise as potent antagonists against Interleukin 17(A) (IL17A) and its receptor (IL17R). These novel macrocycles offer a competitive alternative to monoclonal antibodies for treating inflammatory diseases.
Area of Science:
- Immunology
- Biochemistry
- Drug Discovery
Background:
- Interleukin 17(A) (IL17A) is a pro-inflammatory cytokine implicated in autoimmune and inflammatory conditions.
- Current IL17A antagonists, primarily monoclonal antibodies (mAbs), have demonstrated clinical efficacy.
- Targeting protein-protein interactions (PPIs) remains a challenge in drug development.
Purpose of the Study:
- To evaluate the potential of artificial macrocycles as novel antagonists for the IL17A-IL17R pathway.
- To elucidate the biological activity and structure-activity relationships (SAR) of these macrocycles.
- To assess the macrocycles' ability to compete with mAbs for challenging targets like PPIs.
Main Methods:
- Co-crystal structure analysis of IL17A-IL17R interactions with macrocycles.
- Assessment of biological activity and binding affinity of macrocyclic antagonists.
- Comparative analysis of macrocycles versus monoclonal antibodies in inhibiting IL17A-IL17R interaction.
Main Results:
- Recently designed artificial macrocycles exhibit potent antagonism against IL17A and IL17R.
- Co-crystal structures provide insights into the mechanism of action and SAR of macrocycles.
- Macrocycles demonstrate the capacity to compete with mAbs for complex targets, including PPIs.
Conclusions:
- Artificial macrocycles represent a promising new class of therapeutics for IL17A-mediated inflammatory diseases.
- Understanding macrocycle SAR through structural biology can guide the development of more effective antagonists.
- Macrocycles offer a viable alternative to mAbs for targeting difficult protein-protein interactions.
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