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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.
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页码:1333 / 1340
页数:8
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