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Published on: March 9, 2019
Peptidic transition state analogues as PRMT inhibitors
Yurui Zhang1, Matthijs J van Haren1, Nathaniel I Martin1
1Biological Chemistry Group, Institute of Biology Leiden, Leiden University, Sylviusweg 72, 2333 BE Leiden, The Netherlands.
Developing novel peptide-based inhibitors, this study targets protein arginine N-methyltransferases (PRMTs). These transition state mimics show promise for specific PRMT inhibition, addressing a key challenge in drug development.
Area of Science:
- Biochemistry
- Enzymology
- Drug Discovery
Background:
- Protein arginine N-methyltransferases (PRMTs) are crucial enzymes utilizing S-adenosyl-l-methionine (AdoMet) for protein methylation.
- PRMTs are implicated in various physiological and pathological processes, making them attractive therapeutic targets.
- Developing specific PRMT inhibitors is challenging due to conserved active sites across the nine PRMT family members.
Purpose of the Study:
- To extend a methodology for creating peptide-based transition state mimicking inhibitors of PRMTs.
- To synthesize and evaluate histone H4 tail peptide-based inhibitors targeting arginine residues.
Main Methods:
- A novel approach covalently links an adenosine moiety (mimicking AdoMet) to arginine residues within substrate-derived peptides.
- Histone H4 tail peptides with adenosine linked to Arg3 were synthesized.
- Inhibition assays were performed using PRMT1 and PRMT6.
Main Results:
- The synthesized histone H4-based transition state mimics demonstrated low micromolar IC50 values against PRMT1 and PRMT6.
- This indicates successful application of the methodology to generate effective PRMT inhibitors.
- The approach shows potential for broader application across the PRMT family.
Conclusions:
- The developed methodology is effective for creating peptide-based transition state mimics for PRMT inhibition.
- These inhibitors show potent activity against specific PRMTs, offering a path towards selective targeting.
- This work advances the development of PRMT-targeted therapeutics by addressing specificity challenges.
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