Vedant Parikh

This study identifies a universal failure in AI models to predict allosteric ligand binding, linking it to biophysical constraints in energy landscapes.

This study identifies how ultrapotent antibodies neutralize SARS-CoV-2 by distributing binding energy across rigid interfaces, enabling tolerance to mutations and informing therapeutic design.

This study uses computational methods to analyze how class 4 antibodies neutralize SARS-CoV-2 by targeting cryptic epitopes, revealing mechanisms involving allostery, binding energetics, and immune escape.

This study investigates how Class 4 and Class 5 antibodies modulate the conformational dynamics and immune escape of SARS-CoV-2 spike protein through allosteric effects and mutational scanning.

This study analyzes how different antibodies interact with SARS-CoV-2 spike protein using computational methods to identify binding hotspots and resistance mechanisms against variants.

This study identifies conserved allosteric hotspots in KRAS that mediate effector mimicry and allosteric modulation through molecular simulations and mutational analysis.

This study uses computational modeling to analyze binding mechanisms of four antibodies against SARS-CoV-2 Omicron variants, revealing distinct dynamic and evolutionary adaptations that influence immune escape.

This study identifies conserved allosteric hotspots in KRAS through computational analysis of interactions with monobodies and affimers, revealing structural and functional networks that govern binding and allostery.

This study identifies immune escape hotspots and binding determinants for broadly neutralizing antibodies against Omicron variants using molecular dynamics and deep mutational scanning.

This study evaluates AlphaFold2's ability to predict apo and holo protein conformations using randomized alanine masking and subsampling, finding it effective for minor changes but less so for large domain movements.