Chinmai Pindi

This paper introduces edge-aware graph attention networks to interpret biophysical mechanisms from molecular dynamics simulations, showing improved prediction and communication network analysis.

This study determines how the I-F3 CRISPR-associated transposase recognizes and pairs transposon ends for transposition using cryo-EM and biochemical analyses.

This study investigates how AcrIIC1 inhibits GeoCas9 by analyzing structural and dynamic changes in the HNH nuclease domain.

This study identifies design rules for expanding PAM compatibility in CRISPR-Cas9 variants by analyzing structural and functional interactions in VQR, VRER, and EQR variants.

This study uses deep learning and simulations to uncover the molecular mechanisms of TnsC filament assembly in a CRISPR-associated transposon.

This study investigates how single-atom mutations in the recognition lobe of GeoCas9 affect its structure, dynamics, and guide RNA interactions without altering its functional specificity.