6VGA
De novo designed Rossmann fold protein ROS2_835
6VGA の概要
| エントリーDOI | 10.2210/pdb6vga/pdb |
| 関連するPDBエントリー | 6VG7 |
| NMR情報 | BMRB: 30707 |
| 分子名称 | De novo designed protein RO2_1 (1 entity in total) |
| 機能のキーワード | rossmann fold, de novo protein |
| 由来する生物種 | synthetic construct |
| タンパク質・核酸の鎖数 | 1 |
| 化学式量合計 | 13925.99 |
| 構造登録者 | |
| 主引用文献 | Pan, X.,Thompson, M.C.,Zhang, Y.,Liu, L.,Fraser, J.S.,Kelly, M.J.S.,Kortemme, T. Expanding the space of protein geometries by computational design of de novo fold families. Science, 369:1132-1136, 2020 Cited by PubMed Abstract: Naturally occurring proteins vary the precise geometries of structural elements to create distinct shapes optimal for function. We present a computational design method, loop-helix-loop unit combinatorial sampling (LUCS), that mimics nature's ability to create families of proteins with the same overall fold but precisely tunable geometries. Through near-exhaustive sampling of loop-helix-loop elements, LUCS generates highly diverse geometries encompassing those found in nature but also surpassing known structure space. Biophysical characterization showed that 17 (38%) of 45 tested LUCS designs encompassing two different structural topologies were well folded, including 16 with designed non-native geometries. Four experimentally solved structures closely matched the designs. LUCS greatly expands the designable structure space and offers a new paradigm for designing proteins with tunable geometries that may be customizable for novel functions. PubMed: 32855341DOI: 10.1126/science.abc0881 主引用文献が同じPDBエントリー |
| 実験手法 | SOLUTION NMR |
構造検証レポート
検証レポート(詳細版)
をダウンロード






