Computational Modeling of TP63-TP53 Interaction and Rational Design of Inhibitors: Implications for Therapeutics

Area of Science:

• Molecular Biology
• Computational Biology
• Cancer Research

Background:

• Tumor protein p63 (TP63) isoforms, particularly ΔN isoforms, drive squamous cancers, while TA isoforms (TAp63) are tumor suppressors.
• Conformational mutants of TP53 (TP53CM) interact with TAp63, inhibiting its tumor-suppressive function and promoting tumorigenesis.
• The precise mechanism of TP63-TP53CM interaction and its role in cancer progression remain unclear.

Purpose of the Study:

• To computationally model the TP63-TP53CM complex to elucidate their interaction mechanism.
• To design therapeutic peptides targeting TP63-TP53CM interactions and ΔN isoform activity.
• To restore the antitumorigenic function of TAp63 and reduce the oncogenic potential of ΔN isoforms.

Main Methods:

• Computational modeling was used to create a detailed model of the TP63-TP53CM complex.
• Peptide design strategies were employed to disrupt TP63-TP53CM interactions and inhibit ΔN isoform oligomerization.
• Kinetic-binding assays were performed to validate peptide binding affinity to target molecules.

Main Results:

• A detailed computational model of the TP63-TP53CM interaction was established.
• Designed peptides successfully disrupted TP63-TP53CM interactions and inhibited ΔN isoform oligomerization.
• Peptides demonstrated efficacy in promoting cancer cell death in TP63-highly expressing cell lines.

Conclusions:

• The study provides a mechanistic understanding of TP63-TP53CM interactions.
• Therapeutic peptides targeting these interactions show promise for eliminating TP53CM-driven cancers.
• This work offers a framework for developing novel peptide-based cancer therapies.