9HGD
Crystal structure of human GABARAP in complex with cyclic peptide GAB_D23
Summary for 9HGD
| Entry DOI | 10.2210/pdb9hgd/pdb |
| Related | 9HGC |
| Descriptor | Gamma-aminobutyric acid receptor-associated protein, GAB_D23, CHLORIDE ION, ... (7 entities in total) |
| Functional Keywords | autophagy-related protein, cyclic peptide, gabarap, inhibitor, protein binding |
| Biological source | Homo sapiens (human) More |
| Total number of polymer chains | 4 |
| Total formula weight | 31889.20 |
| Authors | Ueffing, A.,Wilms, J.A.,Willbold, D.,Weiergraeber, O.H. (deposition date: 2024-11-19, release date: 2025-07-09, Last modification date: 2025-12-03) |
| Primary citation | 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. Accurate de novo design of high-affinity protein-binding macrocycles using deep learning. Nat.Chem.Biol., 21:1948-1956, 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: 40542165DOI: 10.1038/s41589-025-01929-w PDB entries with the same primary citation |
| Experimental method | X-RAY DIFFRACTION (1.5 Å) |
Structure validation
Download full validation report
