Loading
PDBj
MenuPDBj@FacebookPDBj@X(formerly Twitter)PDBj@BlueSkyPDBj@YouTubewwPDB FoundationwwPDBDonate
RCSB PDBPDBeBMRBAdv. SearchSearch help

9CDU

Crystal Structure of Rhombotarget A-peptide Complex

Summary for 9CDU
Entry DOI10.2210/pdb9cdu/pdb
DescriptorRhombotarget A, RBB_D10 peptide, TETRAETHYLENE GLYCOL, ... (4 entities in total)
Functional Keywordsde novo design, deep learning, cyclic peptide, membrane protein
Biological sourceAcinetobacter terrae
More
Total number of polymer chains4
Total formula weight105146.52
Authors
Bera, A.K.,Rettie, S.,Kang, A.,Bhardwaj, G. (deposition date: 2024-06-25, release date: 2025-07-02)
Primary citationRettie, 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.
Accurate de novo design of high-affinity protein-binding macrocycles using deep learning.
Nat.Chem.Biol., 2025
Cited by
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 < 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.
PubMed: 40542165
DOI: 10.1038/s41589-025-01929-w
PDB entries with the same primary citation
Experimental method
X-RAY DIFFRACTION (2.61 Å)
Structure validation

245663

数据于2025-12-03公开中

PDB statisticsPDBj update infoContact PDBjnumon