9MVR | pdb_00009mvr

AI-designed Cas13 anti-CRISPR AIcrVIA1


Experimental Data Snapshot

  • Method: X-RAY DIFFRACTION
  • Resolution: 1.94 Å
  • R-Value Free: 
    0.246 (Depositor), 0.245 (DCC) 
  • R-Value Work: 
    0.199 (Depositor), 0.199 (DCC) 
  • R-Value Observed: 
    0.204 (Depositor) 

Starting Model: in silico
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wwPDB Validation 3D Report Full Report

Validation slider image for 9MVR

This is version 1.1 of the entry. See complete history

Literature

De novo design of potent CRISPR-Cas13 inhibitors.

Taveneau, C.Chai, H.X.D'Silva, J.Bamert, R.S.Chen, H.Hayes, B.K.Calvert, R.W.Purcell, J.Curwen, D.J.Munder, F.Martin, L.L.Barr, J.J.Rosenbluh, J.Fareh, M.Grinter, R.Knott, G.J.

(2026) Nat Chem Biol 

  • DOI: https://doi.org/10.1038/s41589-025-02136-3
  • Primary Citation Related Structures: 
    9MVR, 9MVS

  • PubMed Abstract: 

    CRISPR-Cas systems are transformative tools for gene editing that can be tuned or controlled by anti-CRISPRs (Acrs)-phage-derived inhibitors that regulate CRISPR-Cas activity. However, Acrs that can inhibit biotechnologically relevant CRISPR systems are relatively rare and challenging to discover. To overcome this limitation, we describe a highly successful and rapid approach that leverages de novo protein design to develop new-to-nature proteins for controlling CRISPR-Cas activity. Here, using Leptotrichia buccalis CRISPR-Cas13a as a representative example, we demonstrate that Acrs designed using artificial intelligence (AIcrs) are capable of highly potent and specific inhibition of CRISPR-Cas13a nuclease activity. We present a comprehensive workflow for design validation and demonstrate AIcr functionality in controlling CRISPR-Cas13 activity in bacterial and human cells. The ability to design bespoke inhibitors of Cas effectors will contribute to the ongoing development of CRISPR-Cas tools in diverse applications across research, medicine, agriculture and microbiology.


  • Organizational Affiliation
    • Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, Victoria, Australia. cyntia.taveneau@monash.edu.

Macromolecule Content 

  • Total Structure Weight: 19.43 kDa 
  • Atom Count: 1,341 
  • Modeled Residue Count: 154 
  • Deposited Residue Count: 166 
  • Unique protein chains: 1

Macromolecules

Find similar proteins by:|  3D Structure
Entity ID: 1
MoleculeChains  Sequence LengthOrganismDetailsImage
AIcrVIA1
A, B
83synthetic constructMutation(s): 0 

Small Molecules

Ligands 1 Unique
IDChains Name / Formula / InChI Key2D Diagram3D Interactions
CL
(Subject of Investigation/LOI)

Query on CL



Download:Ideal Coordinates CCD File
C [auth A]CHLORIDE ION
Cl
VEXZGXHMUGYJMC-UHFFFAOYSA-M

Experimental Data & Validation

Experimental Data

  • Method: X-RAY DIFFRACTION
  • Resolution: 1.94 Å
  • R-Value Free:  0.246 (Depositor), 0.245 (DCC) 
  • R-Value Work:  0.199 (Depositor), 0.199 (DCC) 
  • R-Value Observed: 0.204 (Depositor) 
Space Group: P 21 21 21
Unit Cell:
Length ( Å )Angle ( ˚ )
a = 33.403α = 90
b = 62.9β = 90
c = 84.927γ = 90
Software Package:
Software NamePurpose
XDSdata reduction
XDSdata scaling
PHENIXphasing
PHENIXrefinement

Structure Validation

View Full Validation Report



Entry History 

& Funding Information

Deposition Data


Funding OrganizationLocationGrant Number
Other privateAustraliaSMRF2021-276

Revision History  (Full details and data files)

  • Version 1.0: 2026-02-25
    Type: Initial release
  • Version 1.1: 2026-04-29
    Changes: Database references