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Flexible Protein Gate May Control Access to Mitochondrial Folds, Simulations Suggest

A computational study suggests flexible regions of the human Mic60-Mic19 subcomplex could act as a size-dependent barrier at mitochondrial crista entrances, but the proposed gate still needs direct confirmation in cells.
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Computer simulations suggest that a flexible part of the mitochondrial MICOS complex could act as a size-dependent gate at the narrow entrances to cristae, the folds of the inner membrane. The proposed barrier depends on the human Mic60-Mic19 subcomplex and its disordered, shape-changing regions; it has not yet been demonstrated as a filtering mechanism in living mitochondria.

What is the proposed mitochondrial gate?

Mitochondrial cristae are folds or pockets of the inner membrane. They meet the surrounding membrane at narrow junctions. MICOS helps stabilize this architecture, and the Mic60-Mic19 subcomplex is positioned at those junctions, according to a 2026 report from the Max Delbrück Center, published by Phys.org.

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The study proposes that Mic60-Mic19 does more than help maintain cristae structure: it may also impede the movement of some proteins through their narrow entrances. The modeled gate is not the whole MICOS complex, and the proposal remains a computational finding rather than direct observation inside a living mitochondrion.

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Why flexibility matters

Mic60-Mic19 contains a long disordered region. Unlike a rigid folded segment, a disordered region does not settle into one fixed shape. That flexibility can be hard to represent in a single static structure, but may matter if the subcomplex changes shape as molecules approach the junction.

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To build a virtual human model, the researchers combined an X-ray structure of an animal-specific Mic60 section with fungal structures and AI-based predictions, then used computational simulations to represent movement. The institutional report says the model showed 97% correspondence with structural data from human mitochondria. It does not specify the comparison metric, so that figure should be read as the report’s description of a particular model-to-data comparison—not as a general accuracy score.

What the simulations found

In a simulated diffusion experiment, spheres stood in for proteins of different sizes. The modeled complex blocked spheres with radii larger than 2 nanometers, and the report identifies the disordered regions as key to this gatekeeping behavior. This is a result within the simulation: it does not establish a universal size cutoff for proteins crossing crista junctions in cells.

The result illustrates why a dynamic model can suggest a mechanism that a static structure might miss. As doctoral student Evangelia Nathanail put it in the report, “With one static structure, we might not have seen exactly how it swats all of those spheres away,”

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What this means for disease—and what remains uncertain

The report notes that a known mutation associated with optic nerve damage and a developmental brain disorder alters the core of the MICOS complex. The modeled gate could offer a possible way to think about how a change to that core affects mitochondrial structure or movement through crista junctions. The study does not demonstrate that this mutation causes disease by disrupting the proposed barrier.

The main unresolved step is to observe the entire complex at work inside mitochondria. The study modeled only part of MICOS, and the report says direct confirmation of the proposed filtering role will require studying the full complex in its cellular setting.

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Study details

The work is reported as Evangelia Nathanail et al., “Integrative structural modelling reveals the human Mic60-Mic19 subcomplex as a diffusion barrier in mitochondria,” Nature Communications (2026), DOI: 10.1038/s41467-026-77869-3. The study description and numerical findings here are attributed to the Max Delbrück Center report on Phys.org. Oliver Daumke, co-senior author, described the broader modeling approach this way: “Our study not only reveals the molecular architecture of an essential cellular machine, but it also shows how one can model highly dynamic protein complexes that escape traditional structural biology methods,”

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