9CDV | pdb_00009cdv

Crystal Structure of Rhombotarget A


Experimental Data Snapshot

  • Method: X-RAY DIFFRACTION
  • Resolution: 2.00 Å
  • R-Value Free: 
    0.234 (Depositor), 0.234 (DCC) 
  • R-Value Work: 
    0.195 (Depositor), 0.195 (DCC) 
  • R-Value Observed: 
    0.197 (Depositor) 

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


This is version 1.0 of the entry. See complete history


Literature

Accurate de novo design of high-affinity protein-binding macrocycles using deep learning.

Rettie, S.A.Juergens, D.Adebomi, V.Bueso, Y.F.Zhao, Q.Leveille, A.N.Liu, A.Bera, A.K.Wilms, J.A.Uffing, A.Kang, A.Brackenbrough, E.Lamb, M.Gerben, S.R.Murray, A.Levine, P.M.Schneider, M.Vasireddy, V.Ovchinnikov, S.Weiergraber, O.H.Willbold, D.Kritzer, J.A.Mougous, J.D.Baker, D.DiMaio, F.Bhardwaj, G.

(2025) Nat Chem Biol 

  • DOI: https://doi.org/10.1038/s41589-025-01929-w
  • Primary Citation of Related Structures:  
    9CDT, 9CDU, 9CDV, 9HGC, 9HGD

  • PubMed Abstract: 

    Developing macrocyclic binders to therapeutic proteins typically relies on large-scale screening methods that are resource intensive and provide little control over binding mode. Despite progress in protein design, there are currently no robust approaches for de novo design of protein-binding macrocycles. Here we introduce RFpeptides, a denoising diffusion-based pipeline for designing macrocyclic binders against protein targets of interest. We tested 20 or fewer designed macrocycles against each of four diverse proteins and obtained binders with medium to high affinity against all targets. For one of the targets, Rhombotarget A (RbtA), we designed a high-affinity binder (K d  < 10 nM) despite starting from the predicted target structure. X-ray structures for macrocycle-bound myeloid cell leukemia 1, γ-aminobutyric acid type A receptor-associated protein and RbtA complexes match closely with the computational models, with a Cα root-mean-square deviation < 1.5 Å to the design models. RFpeptides provides a framework for rapid and custom design of macrocyclic peptides for diagnostic and therapeutic applications.


  • Organizational Affiliation
    • Department of Medicinal Chemistry, University of Washington, Seattle, WA, USA.

Macromolecules
Find similar proteins by:  (by identity cutoff)  |  3D Structure
Entity ID: 1
MoleculeChains Sequence LengthOrganismDetailsImage
Rhombotarget A
A, B
465Acinetobacter terraeMutation(s): 0 
UniProt
Find proteins for A0A0D5YFQ2 (Acinetobacter baumannii)
Explore A0A0D5YFQ2 
Go to UniProtKB:  A0A0D5YFQ2
Entity Groups  
Sequence Clusters30% Identity50% Identity70% Identity90% Identity95% Identity100% Identity
UniProt GroupA0A0D5YFQ2
Sequence Annotations
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  • Reference Sequence
Experimental Data & Validation

Experimental Data

  • Method: X-RAY DIFFRACTION
  • Resolution: 2.00 Å
  • R-Value Free:  0.234 (Depositor), 0.234 (DCC) 
  • R-Value Work:  0.195 (Depositor), 0.195 (DCC) 
  • R-Value Observed: 0.197 (Depositor) 
Space Group: P 1 21 1
Unit Cell:
Length ( Å )Angle ( ˚ )
a = 57.156α = 90
b = 106.477β = 107.04
c = 71.305γ = 90
Software Package:
Software NamePurpose
PHENIXrefinement
XDSdata reduction
XSCALEdata scaling
PHASERphasing

Structure Validation

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Entry History & Funding Information

Deposition Data


Funding OrganizationLocationGrant Number
Defense Advanced Research Projects Agency (DARPA)United States--
Defense Threat Reduction Agency (DTRA)United States--

Revision History  (Full details and data files)

  • Version 1.0: 2025-07-02
    Type: Initial release