Mark I.R. Petalcorin

This paper introduces a computational model of the inner mitochondrial membrane that identifies cardiolipin and leak as key regulators of ATP output through parameter sweeps and sensitivity analysis.

The paper introduces a theoretical framework that maintains quantum coherence and identity in biological systems through a sustaining superoperator, showing entropy cancellation and substrate-invariant behavior.

This paper develops a hybrid neural-symbolic framework to uncover the mathematical principles linking cellular energetics to genetic regulation using simulated time-series data.

This paper proposes and evaluates C3.5 photosynthesis, a novel strategy to enhance Rubisco efficiency by coupling mitochondrial bioenergetics to chloroplast carbon assimilation in Arabidopsis.

This paper uses physics-informed neural networks to reconstruct mitochondrial proton motive force from surrogate signals, achieving high accuracy and revealing feature contributions under different oxygen conditions.

This paper develops an AI-driven drug discovery pipeline for LDHA inhibitors, identifying 100+ novel compounds with high inhibition potential and drug-like properties.