S. Parmar

Mechanistic Analysis of Riboswitch Ligand Interactions Provides Insights into Pharmacological Control over Gene Expression

This study investigates how different small molecules affect riboswitch activity by altering RNA conformation, showing distinct mechanisms in live cells.

Deciphering the molecular mechanisms underlying anti-pathogenic potential of a polyherbal formulation Enteropan against multi-drug resistant Pseudomonas aeruginosa

This study investigates the anti-pathogenic effects of the polyherbal formulation Enteropan against multidrug-resistant Pseudomonas aeruginosa, identifying molecular mechanisms and potential drug targets.

Interrogating RNA-small molecule interactions with structure probing and AI augmented-molecular simulations

The paper uses AI-augmented molecular dynamics simulations to study RNA-ligand interactions, validating predictions of mutations affecting binding affinities in riboswitch systems.

Immune microenvironment subtypes and association with tumor cell mutations and antigen expression in follicular lymphoma.

The paper identifies immune microenvironment subtypes in follicular lymphoma linked to tumor mutations and antigen expression, informing potential immunotherapeutic strategies.

An Omic and Multidimensional Spatial Atlas from Serial Biopsies of an Evolving Metastatic Breast Cancer

This paper presents an OMS Atlas from serial biopsies of a metastatic breast cancer patient, linking clinical data to multi-omic and spatial profiles to study therapy-associated heterogeneity and resistance mechanisms.

Close range vocal interaction in the common marmoset (Callithrix Jacchus)

This study examines trill calls in common marmosets, showing that social context affects call rates and spectral properties, and that trills are primarily exchanged with partners.

Structural state recognition facilitates tip tracking of EB1 at growing microtubule ends in cells

The paper shows that EB1 tracks microtubule ends by recognizing structural changes, not just GTP-tubulin binding, using simulations and experiments.

Deep Convolutional Network for Animal Sound Classification and Source Attribution using Dual Audio Recordings

The paper presents a convolutional neural network that classifies animal calls and identifies their source using dual audio recordings from marmosets.