MemBrain-structure
AI-driven End-to-End Pipeline for Membrane Protein Structure Determination by Cryo-ET
Cryo-electron tomography (cryo-ET) enables the visualization of macromolecular structures in their native cellular environment, which is crucial for structural biology and pharmacology. However, determining high-resolution structures of membrane proteins remains challenging due to the extensive manual effort required to identify, align and average low-contrast particles.
MemBrain-structure addresses this bottleneck by combining AI expertise from Helmholtz Munich with cryo-ET developments at MDC Berlin to create a generalizable, end-to-end pipeline that converts raw tilt-series data into membrane protein structures. The project will generate dedicated training data and develop supervised and generalizable models for membrane segmentation, membrane protein localization and pose estimation.
Integrated into the established TomoBEAR workflow, the open-source solution will streamline membrane protein structure determination and support deeper insights into disease-relevant biological processes.
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