Abstract
Protein-protein interactions play a central role in all cellular processes. Insight into their atomic architecture is therefore of paramount importance. Cryo-electron microscopy (cryo-EM) is capable of directly imaging large macromolecular complexes. Unfortunately, the resolution is usually not sufficient for a direct atomic interpretation. To overcome this, cryo-EM data are often combined with high-resolution atomic structures. However, current computational approaches typically do not include information from other experimental sources nor a proper physico-chemical description of the interfaces. Here we describe the integration of cryo-EM data into our data-driven docking program HADDOCK and its performance on a benchmark of 17 complexes. The approach is demonstrated on five systems using experimental cryo-EM data in the range of 8.5-21 Å resolution. For several cases, cryo-EM data are integrated with additional interface information, e.g. mutagenesis and hydroxyl radical footprinting data. The resulting models have high-quality interfaces, revealing novel details of the interactions.
| Original language | English |
|---|---|
| Pages (from-to) | 949-960 |
| Number of pages | 12 |
| Journal | Structure |
| Volume | 23 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 5 May 2015 |
| Externally published | Yes |
Keywords
- Computational Biology/methods
- Cryoelectron Microscopy
- Databases, Protein
- Models, Molecular
- Molecular Docking Simulation
- Multiprotein Complexes/chemistry
- User-Computer Interface
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