Gogulan Karunanithy

SpinForecast assigns residue-specific chemical shifts to disordered proteins without sequential chain building, achieving high accuracy in peak assignment for three test proteins.

This paper uses mass photometry to analyze the binding stoichiometry and dynamics of the bispecific antibody ivonescimab with VEGF and PD-1, finding that dimers are the most stable complex.

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

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.

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