Self-Organized Criticality: A Prophetic Path to Curing Cancer

TL;DR

This paper explores how Self-Organized Criticality (SOC) can be applied to design hybrid viral proteins with potential to cure cancer, bridging theoretical models with practical biomedical applications.

Contribution

It introduces a novel approach using SOC principles to engineer viral proteins aimed at cancer therapy, a new direction in biomedical research.

Findings

SOC-based models can inform viral protein design

Hybrid viral proteins may be effective in cancer treatment

The approach bridges theory and clinical application

Abstract

While the concepts involved in Self-Organized Criticality have stimulated thousands of theoretical models, only recently have these models addressed problems of biological and clinical importance. Here we outline how SOC can be used to engineer hybrid viral proteins whose properties, extrapolated from those of known strains, may be sufficiently effective to cure cancer.