Ajay Singh Panwar

This study investigates how surfactant charge and assembly dynamics regulate the antimicrobial-amyloidogenic transition of Uperin 3.5, showing charge-dependent structural stabilization and aggregation behavior.

This paper introduces amyAMP, a deep learning framework that generates antimicrobial peptides with amyloid-like properties, validated through molecular dynamics simulations.

The paper uses AI to generate cortisol-binding peptides for non-invasive stress detection, identifying high-affinity candidates from a large sequence library.

This study shows that C-terminal amidation enhances antimicrobial peptide efficacy by stabilizing structures and promoting membrane interactions in U3.5.

This study shows that an inhomogeneous nuclear pore complex with varying FG-Nup lengths enhances selectivity for karyopherin-bound cargo transport.

This study investigates how TFE concentration and salt affect the aggregation and secondary structure transitions of the amyloidogenic peptide Uperin 3.5 in TFE:water mixtures.

The paper develops a high-throughput bioinformatics pipeline to select glucose-binding proteins by integrating molecular docking and molecular dynamics simulations.

This study uses a coarse-grained model to show that FG-Nup hydrophobicity determines NPC selectivity and specificity in transport.