Kumar Gaurav

The paper uses active learning to design peptides that modulate the physical properties of a biomolecular condensate by interacting with MUT-16.

The paper uses atomistic simulations to study contact dynamics in MUT-16 condensates, finding short-lived contacts and identifying key interactions and factors influencing condensate behavior.

The paper identifies a novel regulatory mechanism involving proteolytic processing of N-terminal intrinsically disordered regions in C. elegans Argonaute proteins, which controls small RNA selectivity and activity.

This study uses multiscale simulations to investigate MUT-16 phase separation and its role in recruiting MUT-8, confirming key interactions through in vitro experiments.