6XCI

Structure of NDM-1 in complex with macrocycle inhibitor NDM1i-3D

6XCI の概要

• エントリーDOI: 10.2210/pdb6xci/pdb
• 関連するPDBエントリー: 6XBE 6XBF
• 関連するBIRD辞書のPRD_ID: PRD_002399
• 分子名称: BlaNDM-4_1_JQ348841, Macrocycle NDM1i-3D, ACETATE ION, ... (6 entities in total)
• 機能のキーワード: cyclic peptide, macrocycle inhibitor, antibiotic, hydrolase-hydrolase inhibitor complex, hydrolase/hydrolase inhibitor
• 由来する生物種: Klebsiella pneumoniae; 詳細
• タンパク質・核酸の鎖数: 3
• 化学式量合計: 54161.88

構造登録者

Worrall, L.J.,Sun, T.,Mulligan, V.K.,Strynadka, N.C.J. (登録日: 2020-06-08, 公開日: 2021-03-31, 最終更新日: 2023-11-15)

主引用文献

Mulligan, V.K.,Workman, S.,Sun, T.,Rettie, S.,Li, X.,Worrall, L.J.,Craven, T.W.,King, D.T.,Hosseinzadeh, P.,Watkins, A.M.,Renfrew, P.D.,Guffy, S.,Labonte, J.W.,Moretti, R.,Bonneau, R.,Strynadka, N.C.J.,Baker, D.
Computationally designed peptide macrocycle inhibitors of New Delhi metallo-beta-lactamase 1.
Proc.Natl.Acad.Sci.USA, 118:-, 2021

PubMed Abstract: The rise of antibiotic resistance calls for new therapeutics targeting resistance factors such as the New Delhi metallo-β-lactamase 1 (NDM-1), a bacterial enzyme that degrades β-lactam antibiotics. We present structure-guided computational methods for designing peptide macrocycles built from mixtures of l- and d-amino acids that are able to bind to and inhibit targets of therapeutic interest. Our methods explicitly consider the propensity of a peptide to favor a binding-competent conformation, which we found to predict rank order of experimentally observed IC values across seven designed NDM-1- inhibiting peptides. We were able to determine X-ray crystal structures of three of the designed inhibitors in complex with NDM-1, and in all three the conformation of the peptide is very close to the computationally designed model. In two of the three structures, the binding mode with NDM-1 is also very similar to the design model, while in the third, we observed an alternative binding mode likely arising from internal symmetry in the shape of the design combined with flexibility of the target. Although challenges remain in robustly predicting target backbone changes, binding mode, and the effects of mutations on binding affinity, our methods for designing ordered, binding-competent macrocycles should have broad applicability to a wide range of therapeutic targets.

PubMed: 33723038
DOI: 10.1073/pnas.2012800118

実験手法

X-RAY DIFFRACTION (1.6 Å)