Quality assessment of protein NMR structures

被引:26
作者
Rosato, Antonio [1 ,2 ]
Tejero, Roberto [3 ]
Montelione, Gaetano T. [4 ,5 ,6 ]
机构
[1] Univ Florence, Magnet Resonance Ctr, I-50019 Sesto Fiorentino, Italy
[2] Univ Florence, Dept Chem, I-50019 Sesto Fiorentino, Italy
[3] Univ Valencia, Dept Quim Fis, E-46100 Valencia, Spain
[4] Rutgers State Univ, Ctr Adv Biotechnol & Med, Dept Mol Biol & Biochem, Piscataway, NJ 08854 USA
[5] Rutgers State Univ, Northeast Struct Genom Consortium, Piscataway, NJ 08854 USA
[6] Rutgers State Univ, Robert Wood Johnson Med Sch, Dept Biochem & Mol Biol, Piscataway, NJ 08854 USA
基金
美国国家卫生研究院;
关键词
CHEMICAL-SHIFTS; STRUCTURE VALIDATION; STRUCTURE PREDICTION; MODEL ACCURACY; WEB SERVER; REFINEMENT; PRECISION; PROGRAM; C-13(ALPHA); RECOGNITION;
D O I
10.1016/j.sbi.2013.08.005
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Biomolecular NMR structures are now routinely used in biology, chemistry, and bioinformatics. Methods and metrics for assessing the accuracy and precision of protein NMR structures are beginning to be standardized across the biological NMR community. These include both knowledge-based assessment metrics, parameterized from the database of protein structures, and model versus data assessment metrics. On line servers are available that provide comprehensive protein structure quality assessment reports, and efforts are in progress by the world-wide Protein Data Bank (wwPDB) to develop a biomolecular NMR structure quality assessment pipeline as part of the structure deposition process. These quality assessment metrics and standards will aid NMR spectroscopists in determining more accurate structures, and increase the value and utility of these structures for the broad scientific community.
引用
收藏
页码:715 / 724
页数:10
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