Temperature effects on large biochemical networks

Determine how an increase in temperature affects large biochemical networks with complicated architectures when the elementary reaction rates follow the Arrhenius equation.

Background

While individual biochemical reactions typically accelerate with temperature according to the Arrhenius equation, experimental observations in developmental systems (e.g., Drosophila and Xenopus) show network-level responses that deviate from the linear Arrhenius behavior of single reactions. The paper frames the lack of a theoretical explanation for how temperature changes propagate through and affect large, complex biochemical networks.

This problem seeks a principled understanding of network-level temperature dependence in systems characterized by nonlinearity, feedbacks, and intricate architectures, beyond simple reaction-level kinetics.