Digvijay Singh

scLong is a billion-parameter foundation model that captures long-range gene context in scRNA-seq by modeling all genes and integrating gene knowledge, outperforming existing models in various tasks.

RobPicker improves macromolecule identification in cryo-ET by addressing label noise and class imbalance through a meta-learning framework, outperforming existing methods in detecting small and rare species.

ProteinAligner improves protein function and property prediction by integrating sequence, structure, and literature text modalities in a multi-modal pretraining framework.

DrugChat, a multi-modal LLM, predicts drug mechanisms and properties through free-form text, outperforming GPT-4 and specialized models in accuracy and versatility.

ProteinChat is a multi-modal large language model that predicts protein functions from amino acid sequences, outperforming general-purpose LLMs and task-specific models.

This study uses structural biology to reveal the architecture of the nuclear basket in yeast and mammals, showing how Mlp/Tpr proteins form its structural components.

This study investigates how single base-pair changes affect the in vivo kinetics of sRNA-target interactions, showing that Hfq facilitates annealing and buffers base-pair disruptions.

The paper uses single-molecule FRET to study how mismatches affect Cas9-RNA DNA binding and rejection kinetics, revealing that proximal mismatches lead to rapid rejection while distal mismatches allow stable complex formation.