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2KS6

NMR solution structure of ALG13 --- obtained with iterative CS-Rosetta from backbone NMR data.

2KS6 の概要
エントリーDOI10.2210/pdb2ks6/pdb
関連するPDBエントリー2jzc
分子名称UDP-N-acetylglucosamine transferase subunit ALG13 (1 entity in total)
機能のキーワードcs-rosetta, cyclic n-oxides, endoplasmic reticulum, glycosyltransferase, transferase
由来する生物種Saccharomyces cerevisiae (brewer's yeast,lager beer yeast,yeast)
細胞内の位置Endoplasmic reticulum: P53178
タンパク質・核酸の鎖数1
化学式量合計22552.82
構造登録者
Lange, O.F.,Wang, X.,Prestegard, J.H.,Baker, D. (登録日: 2009-12-29, 公開日: 2011-01-12, 最終更新日: 2024-05-01)
主引用文献Raman, S.,Lange, O.F.,Rossi, P.,Tyka, M.,Wang, X.,Aramini, J.,Liu, G.,Ramelot, T.A.,Eletsky, A.,Szyperski, T.,Kennedy, M.A.,Prestegard, J.,Montelione, G.T.,Baker, D.
NMR structure determination for larger proteins using backbone-only data.
Science, 327:1014-1018, 2010
Cited by
PubMed Abstract: Conventional protein structure determination from nuclear magnetic resonance data relies heavily on side-chain proton-to-proton distances. The necessary side-chain resonance assignment, however, is labor intensive and prone to error. Here we show that structures can be accurately determined without nuclear magnetic resonance (NMR) information on the side chains for proteins up to 25 kilodaltons by incorporating backbone chemical shifts, residual dipolar couplings, and amide proton distances into the Rosetta protein structure modeling methodology. These data, which are too sparse for conventional methods, serve only to guide conformational search toward the lowest-energy conformations in the folding landscape; the details of the computed models are determined by the physical chemistry implicit in the Rosetta all-atom energy function. The new method is not hindered by the deuteration required to suppress nuclear relaxation processes for proteins greater than 15 kilodaltons and should enable routine NMR structure determination for larger proteins.
PubMed: 20133520
DOI: 10.1126/science.1183649
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
Validation report summary of 2ks6
検証レポート(詳細版)ダウンロードをダウンロード

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件を2026-04-15に公開中

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