George P. Lisi

This study identifies RALF signaling as a regulator of thermotolerant pollen tube growth in tomato, showing that RALF peptides repress germination at normal temperatures but are antagonized by heat stress.

This study identifies a cryptic divalent metal binding pocket that regulates Cas9's metal-dependent activity through conformational activation and catalytic efficiency.

This paper investigates how mutations in the β7-β8 loop of Staphylococcus aureus sortase affect catalytic efficiency using NMR and enzyme kinetics.

The paper investigates how structural changes in the 4-5 loop of MKP5 affect its catalytic activity and shows that mutations in this loop and adjacent regions disrupt enzyme function.

This paper introduces a method to improve NMR resonance assignment by modulating metabolic flux during protein expression, using 15N-enriched media with natural abundance media to create unique peak patterns.

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

This study investigates how histidine residues in GM-CSF affect its structure, flexibility, and ligand binding at physiological pH.

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 investigates the allosteric regulation of MKP5 by identifying the role of residue Y435 in maintaining the structural integrity of the allosteric pocket and its interaction with p38 MAPK and JNK.

This study investigates how Ebselen modulates MIF-2 structure, catalysis, and signaling through cysteine residues, revealing its impact on trimer stability and function.

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.

The paper investigates how specific mutations in the Rec3 domain of CRISPR-Cas9 variants affect structural dynamics and allosteric communication to enhance specificity.

This paper uses AlphaFold2 to predict protein conformational populations and mutation effects without a physics engine, achieving over 80% accuracy on two proteins.

NMRdock provides a containerized solution for NMR data processing to reduce complexity and improve accessibility for newcomers and maintainability of software.