D. Choudhury

Prediction of Ca2+ binding site in proteins with a fast and accurate method based on statistical mechanics and analysis of crystal structures

The paper develops a fast and accurate method to predict Ca2+ binding sites in proteins using statistical mechanics, achieving 88% accuracy comparable to existing data-driven methods.

Validating a low-cost, open-source, locally manufactured workstation and computational pipeline for automated histopathology evaluation using deep learning

The paper validates a low-cost, open-source workstation and computational pipeline for automated histopathology evaluation using deep learning, showing comparable performance to expensive institutional hardware.

Bioinspired Dual-Functional Solid Lipid Nanoformulations for Targeted Drug Delivery and Sustained Release for Enhancement of Potency of Albendazole, an Antihelminthic Drug

This paper develops bioinspired solid lipid nanoparticles for targeted drug delivery of albendazole, showing enhanced potency and sustained release against gastrointestinal helminths.

Targeting the nervous system of the parasitic worm, Haemonchus contortus, with quercetin.

This paper demonstrates that quercetin targets the nervous system of Haemonchus contortus, causing oxidative stress and leading to paralysis and death of the parasite.

Acquisition of the L452R mutation in the ACE2-binding interface of Spike protein triggers recent massive expansion of SARS-Cov-2 variants

The paper identifies the L452R mutation in the Spike protein as a key driver of recent SARS-CoV-2 variant expansion, particularly in California, and suggests its adaptive significance for viral infectivity and antibody escape.

Rational design of human cathepsin L with efficient collagenolytic activity

This study engineers human cathepsin L to gain collagenolytic activity by modifying proline specificity and GAG-binding surface, enabling type I collagen degradation in the presence of chondroitin 4-sulfate.

SHORT TERM EVOLUTIONARY DYNAMICS OF ESCHERICHIA COLI IN DIFFERENT CARBON ENVIRONMENTS

This study evolves E. coli in different carbon environments and finds that growth improvements are not due to specialized adaptations but rather general genomic changes affecting lag phase and growth rate.

Neuromodulatory circuit effects on Drosophila feeding behaviour and metabolism

The paper investigates how silencing neuromodulatory systems in Drosophila affects feeding behaviour and metabolism by measuring multiple physiological and behavioural parameters.