NMR-assisted protein structure prediction with MELDxMD

被引:19
|
作者
Robertson, James C. [1 ]
Nassar, Roy [1 ,2 ]
Liu, Cong [1 ,2 ]
Brini, Emiliano [1 ]
Dill, Ken A. [1 ,2 ,3 ]
Perez, Alberto [4 ]
机构
[1] SUNY Stony Brook, Laufer Ctr Phys & Quantitat Biol, Stony Brook, NY 11794 USA
[2] SUNY Stony Brook, Dept Chem, Stony Brook, NY 11794 USA
[3] SUNY Stony Brook, Dept Phys & Astron, Stony Brook, NY 11794 USA
[4] Univ Florida, Dept Chem, Gainesville, FL 32611 USA
基金
美国国家科学基金会;
关键词
CASP13; MELD; molecular dynamics; NMR; protein structure prediction; SIDE-CHAIN; BACKBONE; PARAMETERS; SEQUENCE; MODELS; RPF;
D O I
10.1002/prot.25788
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
We describe the performance of MELD-accelerated molecular dynamics (MELDxMD) in determining protein structures in the NMR-data-assisted category in CASP13. Seeded from web server predictions, MELDxMD was found best in the NMR category, over 17 targets, outperforming the next-best groups by a factor of similar to 4 in z-score. MELDxMD gives ensembles, not single structures; succeeds on a 326-mer, near the current upper limit for NMR structures; and predicts structures that match experimental residual dipolar couplings even though the only NMR-derived data used in the simulations was NOE-based ambiguous atom-atom contacts and backbone dihedrals. MELD can use noisy and ambiguous experimental information to reduce the MD search space. We believe MELDxMD is a promising method for determining protein structures from NMR data.
引用
收藏
页码:1333 / 1340
页数:8
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