[English] 日本語

- PDB-9gdy: SARS-CoV-2 Spike protein Beta Variant at 37C structural flexibili... -
+
Open data
-
Basic information
Entry | Database: PDB / ID: 9gdy | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Title | SARS-CoV-2 Spike protein Beta Variant at 37C structural flexibility / heterogeneity analyses | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
![]() | Spike glycoprotein,Fibritin | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
![]() | VIRAL PROTEIN / SARS-CoV-2 / Spike Protein / temperature dependence | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Function / homology | ![]() virion component / Maturation of spike protein / viral translation / Translation of Structural Proteins / Virion Assembly and Release / host cell surface / host extracellular space / symbiont-mediated-mediated suppression of host tetherin activity / Induction of Cell-Cell Fusion / structural constituent of virion ...virion component / Maturation of spike protein / viral translation / Translation of Structural Proteins / Virion Assembly and Release / host cell surface / host extracellular space / symbiont-mediated-mediated suppression of host tetherin activity / Induction of Cell-Cell Fusion / structural constituent of virion / entry receptor-mediated virion attachment to host cell / membrane fusion / Attachment and Entry / host cell endoplasmic reticulum-Golgi intermediate compartment membrane / positive regulation of viral entry into host cell / receptor-mediated virion attachment to host cell / host cell surface receptor binding / symbiont-mediated suppression of host innate immune response / receptor ligand activity / endocytosis involved in viral entry into host cell / fusion of virus membrane with host plasma membrane / fusion of virus membrane with host endosome membrane / viral envelope / virion attachment to host cell / SARS-CoV-2 activates/modulates innate and adaptive immune responses / host cell plasma membrane / virion membrane / identical protein binding / membrane / plasma membrane Similarity search - Function | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Biological species | ![]() ![]() ![]() | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Method | ELECTRON MICROSCOPY / single particle reconstruction / cryo EM / Resolution: 2.8 Å | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
![]() | Herreros, D. / Mata, C.P. / Noddings, C. / Irene, D. / Agard, D.A. / Tsai, M.-D. / Sorzano, C.O.S. / Carazo, J.M. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Funding support | ![]() ![]()
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
![]() | ![]() Title: Real-space heterogeneous reconstruction, refinement, and disentanglement of CryoEM conformational states with HetSIREN. Authors: David Herreros / Carlos Perez Mata / Chari Noddings / Deli Irene / James Krieger / David A Agard / Ming-Daw Tsai / Carlos Oscar Sanchez Sorzano / Jose Maria Carazo / ![]() ![]() ![]() Abstract: Single-particle analysis by Cryo-electron microscopy (CryoEM) provides direct access to the conformations of macromolecules. Traditional methods assume discrete conformations, while newer algorithms ...Single-particle analysis by Cryo-electron microscopy (CryoEM) provides direct access to the conformations of macromolecules. Traditional methods assume discrete conformations, while newer algorithms estimate conformational landscapes representing the different structural states a biomolecule explores. This work presents HetSIREN, a deep learning-based method that can fully reconstruct or refine a CryoEM volume in real space based on the structural information summarized in a conformational latent space. HetSIREN is defined as an accurate space-based method that allows spatially focused analysis and the introduction of sinusoidal hypernetworks with proven high analytics capacities. Continuing with innovations, HetSIREN can also refine the images' pose while conditioning the network with additional constraints to yield cleaner high-quality volumes, as well as addressing one of the most confusing issues in heterogeneity analysis, as it is the fact that structural heterogeneity estimations are entangled with pose estimation (and to a lesser extent with CTF estimation) thanks to its decoupling architecture. #1: Journal: bioRxiv / Year: 2024 Title: Real-space heterogeneous reconstruction, refinement, and disentanglement of CryoEM conformational states with HetSIREN. Authors: D Herreros / C P Mata / C Noddings / D Irene / J Krieger / D A Agard / M-D Tsai / C O S Sorzano / J M Carazo / ![]() ![]() ![]() Abstract: Single-particle analysis by Cryo-electron microscopy (CryoEM) provides direct access to the conformation of each macromolecule. However, the image's signal-to-noise ratio is low, and some form of ...Single-particle analysis by Cryo-electron microscopy (CryoEM) provides direct access to the conformation of each macromolecule. However, the image's signal-to-noise ratio is low, and some form of classification is usually performed at the image processing level to allow structural modeling. Classical classification methods imply the existence of a discrete number of structural conformations. However, new heterogeneity algorithms introduce a novel reconstruction paradigm, where every state is represented by a lower number of particles, potentially just one, allowing the estimation of conformational landscapes representing the different structural states a biomolecule explores. In this work, we present a novel deep learning-based method called HetSIREN. HetSIREN can fully reconstruct or refine a CryoEM volume in real space based on the structural information summarized in a conformational latent space. The unique characteristics that set HetSIREN apart start with the definition of the approach as a real space-based only method, a fact that allows spatially focused analysis, but also the introduction of a novel network architecture specifically designed to make use of meta-sinusoidal activations, with proven high analytics capacities. Continuing with innovations, HetSIREN can also refine the pose parameters of the images at the same time that it conditions the network with prior information/constraints on the maps, such as Total Variation and denoising, ultimately yielding cleaner volumes with high-quality structural features. Finally, but very importantly, HetSIREN addresses one of the most confusing issues in heterogeneity analysis, as it is the fact that real structural heterogeneity estimation is entangled with pose estimation (and to a lesser extent with CTF estimation), in this way, HetSIREN introduces a novel encoding architecture able to decouple pose and CTF information from the conformational landscape, resulting in more accurate and interpretable conformational latent spaces. We present results on computer-simulated data, public data from EMPIAR, and data from experimental systems currently being studied in our laboratories. An important finding is the sensitivity of the structure and dynamics of the SARS-CoV-2 Spike protein on the storage temperature. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
History |
|
-
Structure visualization
Structure viewer | Molecule: ![]() ![]() |
---|
-
Downloads & links
-
Download
PDBx/mmCIF format | ![]() | 10.1 MB | Display | ![]() |
---|---|---|---|---|
PDB format | ![]() | 8.8 MB | Display | ![]() |
PDBx/mmJSON format | ![]() | Tree view | ![]() | |
Others | ![]() |
-Validation report
Arichive directory | ![]() ![]() | HTTPS FTP |
---|
-Related structure data
Related structure data | ![]() 51280MC ![]() 9gdxC M: map data used to model this data C: citing same article ( |
---|---|
Similar structure data | Similarity search - Function & homology ![]() |
-
Links
-
Assembly
Deposited unit | ![]()
|
---|---|
1 |
|
Number of models | 20 |
-
Components
#1: Protein | Mass: 136142.703 Da / Num. of mol.: 3 Source method: isolated from a genetically manipulated source Source: (gene. exp.) ![]() ![]() ![]() Gene: S, 2, wac / Variant: Beta / Production host: ![]() ![]() Has protein modification | Y | |
---|
-Experimental details
-Experiment
Experiment | Method: ELECTRON MICROSCOPY |
---|---|
EM experiment | Aggregation state: PARTICLE / 3D reconstruction method: single particle reconstruction |
-
Sample preparation
Component | Name: SARS-CoV-2 Spike protein Beta Variant at 37C / Type: COMPLEX / Entity ID: all / Source: RECOMBINANT | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Molecular weight | Value: 0.54 MDa / Experimental value: NO | ||||||||||||
Source (natural) |
| ||||||||||||
Source (recombinant) | Organism: ![]() ![]() | ||||||||||||
Details of virus | Empty: YES / Enveloped: NO / Isolate: STRAIN / Type: VIRUS-LIKE PARTICLE | ||||||||||||
Buffer solution | pH: 5.5 | ||||||||||||
Buffer component | Conc.: 100 mM / Name: Trisodium Citrate Dihydrate / Formula: C6H9Na3O9 | ||||||||||||
Specimen | Conc.: 0.25 mg/ml / Embedding applied: NO / Shadowing applied: NO / Staining applied: NO / Vitrification applied: YES | ||||||||||||
Vitrification | Instrument: FEI VITROBOT MARK IV / Cryogen name: ETHANE / Humidity: 100 % / Chamber temperature: 37 K |
-
Electron microscopy imaging
Experimental equipment | ![]() Model: Titan Krios / Image courtesy: FEI Company |
---|---|
Microscopy | Model: TFS KRIOS |
Electron gun | Electron source: ![]() |
Electron lens | Mode: BRIGHT FIELD / Nominal magnification: 81000 X / Nominal defocus max: 2200 nm / Nominal defocus min: 1500 nm |
Specimen holder | Specimen holder model: FEI TITAN KRIOS AUTOGRID HOLDER |
Image recording | Electron dose: 50 e/Å2 / Film or detector model: GATAN K3 BIOQUANTUM (6k x 4k) / Num. of real images: 7064 |
-
Processing
EM software |
| ||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
CTF correction | Type: NONE | ||||||||||||||||||||||||||||||
Symmetry | Point symmetry: C1 (asymmetric) | ||||||||||||||||||||||||||||||
3D reconstruction | Resolution: 2.8 Å / Resolution method: FSC 0.143 CUT-OFF / Num. of particles: 309062 / Symmetry type: POINT | ||||||||||||||||||||||||||||||
Atomic model building | Protocol: FLEXIBLE FIT / Space: REAL | ||||||||||||||||||||||||||||||
Atomic model building | 3D fitting-ID: 1 / Source name: PDB / Type: experimental model
| ||||||||||||||||||||||||||||||
Refine LS restraints |
|