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Published on: December 1, 2020
Computational evaluation of APP-IP peptide variants: assessing affinity and selectivity toward MMP-2.
Samira Mirkhalaf1, Majid Taghdir1, Seyed Shahriar Arab1
1Department of Biophysics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran.
In Silico Pharmacology
|May 29, 2026
Summary
This study optimized peptide inhibitors for matrix metalloproteinase-2 (MMP-2) by introducing mutations. The N5T variant showed improved MMP-2 affinity and selectivity, offering a promising therapeutic strategy.
Area of Science:
- Biochemistry and Molecular Biology
- Drug Discovery and Development
- Computational Chemistry
Background:
- Matrix metalloproteinase-2 (MMP-2) is crucial for extracellular matrix remodeling and linked to diseases like cancer.
- Peptide-based inhibitors, such as APP-IP, are explored for selective MMP-2 targeting to minimize side effects.
- Understanding structure-activity relationships is key for designing effective MMP inhibitors.
Purpose of the Study:
- To evaluate the impact of specific mutations in the APP-IP peptide on its binding affinity and selectivity for MMP-2.
- To identify novel APP-IP variants with enhanced MMP-2 inhibition and reduced off-target activity against related matrix metalloproteinases (MMPs).
- To provide insights into the rational design of peptide inhibitors targeting MMP-2 through structure-based computational methods.
Main Methods:
- Utilized molecular docking, molecular dynamics simulations, and MM/PBSA calculations to predict binding affinities.
- Introduced targeted mutations at positions Y3, G4, and N5 of the APP-IP peptide.
- Assessed binding affinity and selectivity against MMP-2, MMP-9 (close homolog), and MMP-7 (structurally distinct).
Main Results:
- Identified two variants, G4L and N5T, with predicted improved binding affinity for MMP-2.
- The N5T variant demonstrated reduced binding to MMP-9 while maintaining enhanced MMP-2 affinity, suggesting improved selectivity.
- Mutations at Y3 (Y3F) preserved MMP-2 affinity but reduced binding to MMP-9 and MMP-7, highlighting the S1' pocket's role in selectivity.
Conclusions:
- The study successfully identified promising APP-IP variants (N5T, G4L, Y3F) with favorable predicted selectivity profiles for MMP-2.
- The N5T variant is particularly notable for enhancing MMP-2 affinity and selectivity by reducing MMP-9 binding.
- This structure-based computational approach offers valuable insights for designing targeted peptide inhibitors for MMP-2, emphasizing the importance of cross-MMP selectivity testing.

