Hamidreza Rahmani

This paper introduces a pipeline for high-resolution cryo-ET imaging using square electron beams, demonstrating improved resolution and field-of-view by reducing radiation damage and overlap.

This study identifies ATAD3A as a structural link between mtDNA replication and mitochondrial fission by forming membrane tethers that coordinate these processes.

This paper introduces DM, a detergent that reduces air-water interface artifacts in cryo-EM, improving reconstruction quality and particle stability.

The paper introduces SurfACT, a surfactant cocktail that reduces air-water interface artifacts in cryoEM, improving particle distribution and map completeness for four proteins.

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.

The paper uses cryo-ET and a Surface Morphometrics pipeline to measure membrane thickness in organellar subcompartments, revealing variations and correlations with structural features.

This study shows prohibitin complexes are associated with unique membrane microdomains in cells, using cryo-electron tomography and Surface Morphometrics.

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.

The paper uses cryo-electron tomography to study cytoplasmic ribosome orientation and clustering on mitochondria in yeast, revealing their role in co-translational protein import.

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.