Evolutionary Conservation and Hotspot Analysis of the p53 Tumor Suppressor Protein

Description

This dataset contains a comprehensive analysis of the p53 tumor suppressor protein, focusing on its evolutionary conservation, functional hotspots, and structural features. The included PDF report presents detailed figures, tables, and explanations of key conserved regions, domain architecture, and phylogenetic relationships. This project also highlights the identification of critical residues (hotspots) across species, providing insights into functional significance and evolutionary constraints.

The analysis was performed using sequence alignments, phylogenetic tree construction, domain mapping, and static 3D structural visualization. All Python and PyMOL scripts used for figure generation and data processing are available in the associated GitHub repository: https://github.com/efe4r/p53_Evolution_Project.

Motivation / Future Directions

Understanding the evolutionary conservation and functional hotspots of p53 deepens our knowledge of protein biology and its role in cancer research. This dataset aims to support further studies in molecular evolution, protein structure-function analysis, and therapeutic targeting. Future work could extend this approach to other tumor suppressor proteins, integrate dynamic 3D simulations, or explore mutation impacts. The project demonstrates a strong commitment to combining computational and structural biology methods to advance scientific understanding.