Binita Rajbanshi

The paper designs AI-guided nanobodies targeting the VQIVYK motif of tau, showing strong binding to synthetic tau and Alzheimer's brain tissue.

Cirrina, an LLM-driven pharmacological reasoning agent, improves preclinical CNS drug evaluation by integrating mechanistic tools and providing better decision accuracy than deterministic pipelines.

This paper develops a Bayesian pharmacokinetic framework to improve uncertainty-aware first-in-human dose selection for monoclonal antibodies by incorporating allometric scaling and population-level variability.

This study applies VQE to a tau peptide fragment to compare quantum and classical methods in calculating electronic energies and highlights their complementary roles in peptide biophysics.

This paper introduces codonGPT, a generative language model for mRNA sequences, and a reinforcement learning framework for optimizing mRNA design under biological constraints.

This study demonstrates that microglia have a beneficial role in reducing various types of seizures using a targeted approach.

This study investigates the localization, induction, and cellular effects of tau-phospho-threonine 217 in brain and cultured neurons, finding increased levels in AD progression and reduced tau affinity for microtubules.