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Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
Published on: January 26, 2024
Evaluation of peptide designing strategy against subunit reassociation in mucin 1: A steered molecular dynamics
J Lesitha Jeeva Kumari1, R Jesu Jaya Sudan1, C Sudandiradoss1
1Department of Biotechnology, School of Biosciences and Technology, VIT University, Vellore, India.
Abstract:
Subunit reassociation in mucin 1, a breast cancer tumor marker, is reported as one of the critical factors for its cytoplasmic activation. Inhibition of its heterodimeric association would therefore result in loss of its function and alter disease progression. The present study aimed at evaluating peptide inhibitor designing strategies that may serve as antagonist against this receptor-ligand alliance. Several peptides and their derivatives were designed based on native residues, subunit interface, hydrogen bonding and secondary structure. Docking studies with the peptides were carried on the receptor subunit and their binding affinities were evaluated using steered molecular dynamics simulation and umbrella sampling. Our results showed that among all the different classes of peptides evaluated, the receptor based peptide showed the highest binding affinity. This result was concurrent with the experimental observation that the receptor-ligand alliance in mucin 1 is highly specific. Our results also show that peptide ligand against this subunit association is only stabilized through native residue inter-protein interaction irrespective of the peptide structure, peptide length and number of hydrogen bonds. Consistency in binding affinity, pull force and free energy barrier was observed with only the receptor derived peptides which resulted in favorable interprotein interactions at the interface. Several observations were made and discussed which will eventually lead to designing efficient peptide inhibitors against mucin 1 heterodimeric subunit reassociation.
Insights
Designing peptide inhibitors targeting mucin 1 (MUC1) reassociation is key to breast cancer therapy. Receptor-based peptides show the highest binding affinity, offering a promising strategy to block MUC1 activation and alter disease progression.
Area of Science:
- Biochemistry
- Molecular Biology
- Cancer Research
Background:
- Mucin 1 (MUC1) is a critical breast cancer tumor marker.
- Subunit reassociation of MUC1 is essential for its cytoplasmic activation.
- Inhibiting MUC1 heterodimeric association could alter breast cancer progression.
Purpose of the Study:
- To evaluate peptide inhibitor design strategies against MUC1 receptor-ligand interactions.
- To identify effective antagonists for MUC1 subunit reassociation.
Main Methods:
- Design of peptides based on native residues, subunit interface, and secondary structure.
- Docking studies of peptides with the MUC1 receptor subunit.
- Evaluation of binding affinities using steered molecular dynamics and umbrella sampling.
Main Results:
- Receptor-based peptides exhibited the highest binding affinity for MUC1.
- MUC1 receptor-ligand alliance specificity was confirmed.
- Peptide ligand stabilization relied on native residue inter-protein interactions.
- Receptor-derived peptides showed consistent binding affinity, pull force, and free energy barriers.
Conclusions:
- Peptide inhibitors targeting MUC1 subunit association can be designed based on native interactions.
- Receptor-based peptides are most effective in inhibiting MUC1 heterodimeric reassociation.
- These findings provide a foundation for developing efficient peptide inhibitors against MUC1.
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