Mutation-induced protein interaction kinetics changes affect apoptotic network dynamic properties and facilitate...

Area of Science:

• Molecular Biology
• Systems Biology
• Computational Biology

Background:

• Cancer is primarily driven by genomic alterations, particularly somatic mutations.
• The precise molecular mechanisms linking mutations to oncogenesis remain incompletely understood.
• The mitochondrial apoptotic pathway is crucial for cellular regulation and a relevant model system.

Purpose of the Study:

• To quantitatively investigate the causal molecular mechanisms of mutation-induced oncogenesis.
• To integrate pathway dynamics with protein interaction kinetics using the apoptotic pathway as a case study.
• To establish the functional role of dynamic bifurcation in the apoptotic process.

Main Methods:

• Construction of a mathematical model for the regulatory network of the apoptotic pathway.
• Analysis of oncogenic mutation enrichment correlated with parameter sensitivity of dynamic bifurcation.
• Molecular dynamics simulations to evaluate the impact of mutations on protein interaction kinetics.

Main Results:

• A strong correlation was observed between oncogenic mutation enrichment in protein domains and parameter sensitivity at the bifurcation point.
• Changes in protein binding kinetics, driven by mutations and quantified by free energy changes, were identified as a major cause of apoptosis pathway dysfunction.
• Mutations within sensitive interaction domains demonstrated high oncogenic potential.

Conclusions:

• Provided a molecular framework connecting protein mutations, interaction kinetics, network dynamics, and physiological function.
• Established a link between mutation genotype and tumorigenesis phenotype.
• Elucidated key aspects of the logic underlying cancer initiation.