S. Ghosh

This study uses molecular dynamics simulations to show that salt valency and identity affect the aggregation morphology of charged peptides in water.

The paper demonstrates that enzyme-powered vesicles exhibit increased motility with higher enzymatic turnover rates, using optical microscopy to track their movement.

This study identifies AGO1x, a nuclear Argonaute isoform, as a suppressor of dsRNA-induced interferon signaling that promotes breast cancer cell proliferation.

This study investigates how apoE interacts with Aβ oligomers through cooperative multivalent binding, showing that full-length apoE has higher binding affinity than its fragments.

This paper introduces deformation microscopy to quantify intracellular and intranuclear mechanics with high spatiotemporal resolution, revealing strain dynamics and structural heterogeneity in cells and nuclei.

The paper combines proteomics and machine learning to generate a high-confidence apicoplast proteome in malaria parasites, identifying 346 proteins and validating novel functions.

This paper presents speed breeding protocols for various crops and model plants, detailing conditions and methods to accelerate generation advancement in growth chambers and glasshouses.

This study uses Finsler geometry and Monte Carlo simulations to model large-strain J-shaped stress-strain diagrams of soft biological tissues, showing that complex curves arise from polymeric molecule interactions.

This paper introduces an automated algorithm to segment cardiac cell structures from SBF-SEM data, achieving 97% accuracy and enabling 3D finite element mesh generation for computational physiology studies.

The paper investigates how small molecules affect the conformational dynamics and aggregation of alpha synuclein, showing additive effects of an inhibitor and facilitator on different stages of aggregation.

This paper introduces speed breeding, a method that accelerates crop research and breeding by shortening generation times and enabling more generations per year.

The paper proposes using chlorophyll a to sense and classify different nitric oxide species with high sensitivity and temperature dependence.