Journal Article

·2026 OPEN ACCESS

In Silico Structure‐Guided Design of Peptide Candidates Targeting γ‐Secretase Subunit Assembly

Selcen Arı Yuka YTU , Kübra Telli , Alper Yılmaz YTU

Proteins Structure Function and Bioinformatics

Abstract

The γ-secretase complex is a membrane-embedded protease essential for intramembrane cleavage of substrates such as Notch receptors and the amyloid precursor protein (APP), processes central to cancer progression and Alzheimer's disease (AD) pathology. However, catalytic inhibition of γ-secretase disrupts multiple signaling pathways, resulting in dose-limiting toxicities. In this study, we report a structure-guided approach to generate peptides with binding and stability profiles that disrupt the assembly of γ-secretase by targeting the interactions of Presenilin-1 and Nicastrin with APH1. First, molecular docking was performed for 36 248 peptides of varying lengths to assess their affinity scores to the PS1 and NCT interaction regions of APH1. Peptides filtered based on their affinity scores and physicochemical properties were then subjected to global molecular docking. 50-nanosecond molecular dynamics simulations and MM/PBSA analyses were performed on the top 10 potential candidates, identifying those with high dynamic interaction potential. Thus, seven γ-secretase inhibitor candidates with favorable affinity scores capable of providing stable interactions and thereby having the potential to disrupt the APH1:PS1 assembly were identified. This approach, which overcomes the challenges of targeting the transmembrane catalytic domain, is based on the inhibition of subunit assembly and presents promising candidates for future experimental studies.

Keywords

In silico Protein subunit Transmembrane protein Nicastrin Peptide Docking (animal) Protease Protein–protein interaction Molecular dynamics Chemistry Biochemistry

Subject Areas

Alzheimer's disease research and treatments ·Physiology ·Health Sciences
Chemical Synthesis and Analysis ·Molecular Biology ·Life Sciences
Supramolecular Self-Assembly in Materials ·Biomaterials ·Physical Sciences