Seyone Chithrananda

An atlas of the aging glycoproteome reveals how glycosylation modulates autoantibody binding in the brain

The paper maps age-related changes in the N-glycoproteome across multiple tissues in mice, showing how glycosylation affects autoantibody binding to MOG in the brain.

Forecasting viral evolution from phylogenetic trees

This paper introduces antiGen, a machine learning model that forecasts viral mutations from phylogenetic trees, achieving state-of-the-art results for SARS-CoV-2 and other viruses.

Mapping the combinatorial coding between olfactory receptors and perception with deep learning

This paper develops a deep learning model called MolOR to predict odor percepts from odorant molecules by leveraging olfactory receptor activation profiles, showing improved prediction despite limited data overlap.

Functional protein mining with conformal guarantees

This paper introduces a method for functional protein mining with statistical guarantees, improving reliability in homology detection and functional annotation.

RNA language models predict mutations that improve RNA function

The paper develops an RNA language model to predict mutations that enhance RNA thermostability using a new database of RNA sequences linked to environmental temperatures.