G. Karunanithy

Characterising Aromatic Side Chains in Proteins through the Synergistic Development of NMR Experiments and Deep Neural Networks

This paper develops a deep neural network, FID-Net-2, combined with custom NMR experiments to accurately reconstruct high-resolution aromatic 1H-13C correlation spectra from uniformly 13C-labeled protein samples.

Seedless: On-the-fly pulse calculation for NMR experiments

Seedless calculates NMR pulses on-the-fly to improve signal-to-noise by compensating for RF inhomogeneity and chemical shift effects.

Solution State Methyl NMR Spectroscopy of Large Non-Deuterated Proteins Enabled by Deep Neural Networks

This paper uses deep neural networks to process methyl-TROSY NMR spectra of non-deuterated proteins, achieving results comparable to deuterated samples.

Anatomy of unfolding: The site-specific fold stability of Yfh1 measured by 2D NMR

This study uses 2D NMR to analyze site-specific stability of Yfh1 during cold and heat denaturation, revealing differences between unfolding processes.

Dynamic design: manipulation of millisecond timescale motions on the energy landscape of Cyclophilin A

The paper uses accelerated MD and MSM to study millisecond timescale conformational dynamics of CypA, identifying key states and validating predictions with NMR.