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ABACUS,一种通过片段组装进行蛋白质核磁共振结构计算的直接方法。

ABACUS, a direct method for protein NMR structure computation via assembly of fragments.

作者信息

Grishaev A, Steren C A, Wu B, Pineda-Lucena A, Arrowsmith C, Llinás M

机构信息

Department of Chemistry, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA.

出版信息

Proteins. 2005 Oct 1;61(1):36-43. doi: 10.1002/prot.20457.

Abstract

The ABACUS algorithm obtains the protein NMR structure from unassigned NOESY distance restraints. ABACUS works as an integrated approach that uses the complete set of available NMR experimental information in parallel and yields spin system typing, NOE spin pair identities, sequence specific resonance assignments, and protein structure, all at once. The protocol starts from unassigned molecular fragments (including single amino acid spin systems) derived from triple-resonance (1)H/(13)C/(15)N NMR experiments. Identifications of connected spin systems and NOEs precede the full sequence specific resonance assignments. The latter are obtained iteratively via Monte Carlo-Metropolis and/or probabilistic sequence selections, molecular dynamics structure computation and BACUS filtering (A. Grishaev and M. Llinás, J Biomol NMR 2004;28:1-10). ABACUS starts from scratch, without the requirement of an initial approximate structure, and improves iteratively the NOE identities in a self-consistent fashion. The procedure was run as a blind test on data recorded on mth1743, a 70-amino acid genomic protein from M. thermoautotrophicum. It converges to a structure in ca. 15 cycles of computation on a 3-GHz processor PC. The calculated structures are very similar to the ones obtained via conventional methods (1.22 A backbone RMSD). The success of ABACUS on mth1743 further validates BACUS as a NOESY identification protocol.

摘要

ABACUS算法从未分配的NOESY距离约束中获取蛋白质的核磁共振结构。ABACUS作为一种综合方法,并行使用所有可用的核磁共振实验信息,并一次性得出自旋系统类型、NOE自旋对标识、序列特异性共振归属和蛋白质结构。该方案从三重共振(1)H/(13)C/(15)N核磁共振实验得到的未分配分子片段(包括单个氨基酸自旋系统)开始。在进行完整的序列特异性共振归属之前,先进行连接自旋系统和NOE的识别。后者通过蒙特卡罗-梅特罗波利斯和/或概率序列选择、分子动力学结构计算以及BACUS滤波迭代获得(A. Grishaev和M. Llinás,《生物分子核磁共振杂志》2004年;28:1 - 10)。ABACUS从零开始,不需要初始近似结构,并以自洽的方式迭代改进NOE标识。该程序作为一项盲测,应用于嗜热自养甲烷杆菌的一种70个氨基酸的基因组蛋白mth1743所记录的数据。在一台3千兆赫处理器的个人电脑上,经过大约15个计算循环后它收敛到一个结构。计算得到的结构与通过传统方法获得的结构非常相似(主链均方根偏差为1.22 Å)。ABACUS在mth1743上的成功进一步验证了BACUS作为一种NOESY识别方案的有效性。

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