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9CDT

Crystal Structure of MCL-1-Peptide Complex

Summary for 9CDT
Entry DOI10.2210/pdb9cdt/pdb
DescriptorInduced myeloid leukemia cell differentiation protein Mcl-1, MCB_D2 peptide (3 entities in total)
Functional Keywordsde novo design, deep learning, macro cycle, mcl-1, apotosis regulator, apoptosis
Biological sourceHomo sapiens (human)
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Total number of polymer chains2
Total formula weight19075.74
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 (2.1 Å)
Structure validation

243531

数据于2025-10-22公开中

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