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UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON

From Ions to Cells: Integrating Machine Learning and CryoEM to Resolve Macromolecular Complexity

From Ions to Cells: Integrating Machine Learning and CryoEM to Resolve Macromolecular Complexity is a funding opportunity from UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON, up to 423576, closing April 30, 2031.

Funder
UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON
Funding
423576
Deadline
Apr 30, 2031
(1734d left)

Overview

Project Summary. Electron cryo-microscopy (cryoEM) and electron cryo-tomography (cryoET) have become indispensable tools for determining macromolecular structure and function. However, significant challenges remain in interpreting and modeling complex biological assemblies, particularly in systems that are…

From Ions to Cells: Integrating Machine Learning and CryoEM to Resolve Macromolecular Complexity | Go Fund It Now