7JMH image
Entry Detail
PDB ID:
7JMH
EMDB ID:
Title:
Functional Pathways of Biomolecules Retrieved from Single-particle Snapshots - Frame 35 - State 4 (S4)
Biological Source:
Host Organism:
PDB Version:
Deposition Date:
2020-07-31
Release Date:
2020-08-12
Method Details:
Experimental Method:
Resolution:
4.50 Å
Aggregation State:
3D ARRAY
Reconstruction Method:
SINGLE PARTICLE
Macromolecular Entities
Polymer Type:polypeptide(L)
Description:Peptidyl-prolyl cis-trans isomerase FKBP1B
Chain IDs:A, D (auth: F), F (auth: H), H (auth: J)
Chain Length:107
Number of Molecules:4
Biological Source:Homo sapiens
Polymer Type:polypeptide(L)
Description:ryanodine receptor type 1
Chain IDs:B, C (auth: E), E (auth: G), G (auth: I)
Chain Length:4687
Number of Molecules:4
Biological Source:Oryctolagus cuniculus
Primary Citation
Retrieving functional pathways of biomolecules from single-particle snapshots.
Nat Commun 11 4734 4734 (2020)
PMID: 32948759 DOI: 10.1038/s41467-020-18403-x

Abstact

A primary reason for the intense interest in structural biology is the fact that knowledge of structure can elucidate macromolecular functions in living organisms. Sustained effort has resulted in an impressive arsenal of tools for determining the static structures. But under physiological conditions, macromolecules undergo continuous conformational changes, a subset of which are functionally important. Techniques for capturing the continuous conformational changes underlying function are essential for further progress. Here, we present chemically-detailed conformational movies of biological function, extracted data-analytically from experimental single-particle cryo-electron microscopy (cryo-EM) snapshots of ryanodine receptor type 1 (RyR1), a calcium-activated calcium channel engaged in the binding of ligands. The functional motions differ substantially from those inferred from static structures in the nature of conformationally active structural domains, the sequence and extent of conformational motions, and the way allosteric signals are transduced within and between domains. Our approach highlights the importance of combining experiment, advanced data analysis, and molecular simulations.

Legend

Protein

Chemical

Disease

Primary Citation of related structures