8UJA

T33-fn10 - Designed Tetrahedral Protein Cage Using Fragment-based Hydrogen Bond Networks

8UJA の概要

• エントリーDOI: 10.2210/pdb8uja/pdb
• 分子名称: T33-fn10: engineered DrsE like sulfur reductase, T33-fn10: engineered enoyl-CoA hydratase/isomerase (2 entities in total)
• 機能のキーワード: tetrahedral nanoparticle, designed protein, de novo interface, two-component complex, rosetta, de novo protein
• 由来する生物種: Sulfurisphaera tokodaii str. 7; 詳細
• タンパク質・核酸の鎖数: 16
• 化学式量合計: 318351.70

構造登録者

Meador, K.,Sawaya, M.R.,Yeates, T.O. (登録日: 2023-10-11, 公開日: 2024-03-06, 最終更新日: 2024-06-19)

主引用文献

Meador, K.,Castells-Graells, R.,Aguirre, R.,Sawaya, M.R.,Arbing, M.A.,Sherman, T.,Senarathne, C.,Yeates, T.O.
A suite of designed protein cages using machine learning and protein fragment-based protocols.
Structure, 32:751-765.e11, 2024

PubMed Abstract: Designed protein cages and related materials provide unique opportunities for applications in biotechnology and medicine, but their creation remains challenging. Here, we apply computational approaches to design a suite of tetrahedrally symmetric, self-assembling protein cages. For the generation of docked conformations, we emphasize a protein fragment-based approach, while for sequence design of the de novo interface, a comparison of knowledge-based and machine learning protocols highlights the power and increased experimental success achieved using ProteinMPNN. An analysis of design outcomes provides insights for improving interface design protocols, including prioritizing fragment-based motifs, balancing interface hydrophobicity and polarity, and identifying preferred polar contact patterns. In all, we report five structures for seven protein cages, along with two structures of intermediate assemblies, with the highest resolution reaching 2.0 Å using cryo-EM. This set of designed cages adds substantially to the body of available protein nanoparticles, and to methodologies for their creation.

PubMed: 38513658
DOI: 10.1016/j.str.2024.02.017

実験手法

X-RAY DIFFRACTION (6 Å)