M. Stabrin

In situ structures from relaxed cardiac myofibrils reveal the organization of the muscle thick filament

This study reveals the 3D structure of relaxed cardiac sarcomeres using cryo-electron tomography, showing how thick filament components interact and function in muscle contraction.

TomoTwin: Generalized 3D Localization of Macromolecules in Cryo-electron Tomograms with Structural Data Mining

TomoTwin is a deep learning model for automated macromolecule localization in cryo-electron tomograms without manual training data, using deep metric learning to embed structures in a high-dimensional space.

Structural basis of TRPC4 regulation by calmodulin and pharmacological agents

The paper reports structures of TRPC4 in complex with inhibitors, activators, and calmodulin, revealing how ligand binding and calmodulin interaction regulate the channel's conformation.

TranSPHIRE: Automated and feedback-optimized on-the-fly processing for cryo-EM

TranSPHIRE automates cryo-EM data processing during acquisition, using a feedback loop to improve particle picking and produce high-resolution 3D reconstructions.

Two particle picking procedures for filamentous proteins: SPHIRE-crYOLO filament mode and SPHIRE-STRIPER

This paper introduces two methods for selecting filamentous proteins from cryo-EM images: a deep learning approach in SPHIRE-crYOLO and a line detection approach in SPHIRE-STRIPER, showing their performance on tobacco mosaic virus and F-actin datasets.

SPHIRE-crYOLO: A fast and accurate fully automated particle picker for cryo-EM

The paper introduces crYOLO, a deep learning-based particle picker for cryo-EM that achieves high accuracy and speed, enabling automated data pre-processing.