Srinivasan Ekambaram

ALSmiR is a curated database of microRNA expression findings in ALS patients, providing context and results for biomarker discovery.

This paper demonstrates that UR214-9 disrupts septin hetero-octamerization, leading to aberrant structures and impairing cancer cell functions.

The paper introduces ATLAS, a 3D RNA motif library with graph representations and non-Watson-Crick interactions, enabling motif-based RNA structure prediction and design.

The paper investigates how toxic SOD1 oligomers affect extracellular vesicle release pathways in ALS, identifying key proteins and pathways involved.

This study identifies PSP-0119, an IRAK4 degrader, as a promising therapy for FLT3-mutant AML by inhibiting IRAK4 activity and showing antileukemic effects in cell lines and xenograft models.

This paper computationally designs peptide inhibitors targeting α-Synuclein monomers, fibrils, and liquid condensates using multiscale modeling to reduce aggregation and modulate conformational dynamics.

This paper uses deep machine learning to identify molecular mechanisms by which levodopa affects iron metabolism in Parkinson's disease, revealing interactions with iron transporters and pathways.

This paper applies quantum tensor networks to classify proteins by sub-cellular location, achieving 94% accuracy with a compact quantum model compared to a large classical model.