Structure determination of a new protein from backbone-centered NMR data and NMR-assisted structure prediction

被引:7
|
作者
Mayer, K. L.
Qu, Y.
Bansal, S.
LeBlond, P. D.
Jenney, F. E., Jr.
Brereton, P. S.
Adams, M. W. W.
Xu, Y.
Prestegard, J. H.
机构
[1] Univ Georgia, Complex Carbohydrate Res Ctr, Athens, GA 30602 USA
[2] Univ Georgia, Dept Biochem & Mol Biol, Athens, GA 30602 USA
关键词
protein structure prediction; structural genomics; residual dipolar couplings; Pyrococcus furiosus; simulated annealing; RESIDUAL DIPOLAR COUPLINGS; BIOLOGICAL MACROMOLECULES; PYROCOCCUS-FURIOSUS; CHEMICAL-SHIFT; GENOMICS; PROGRESS; GENTHREADER; REFINEMENT; RESTRAINTS; ALIGNMENT;
D O I
10.1002/prot.21119
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
Targeting of proteins for structure determination in structural genomic programs often includes the use of threading and fold recognition methods to exclude proteins belonging to well-populated fold families, but such methods can still fail to recognize preexisting folds. The authors illustrate here a method in which limited amounts of structural data are used to improve an initial homology search and the data are subsequently used to produce a structure by data-constrained refinement of an identified structural template. The data used are primarily NMR-based residual dipolar couplings, but they also include additional chemical shift and backbone-nuclear Overhauser effect data. Using this methodology, a backbone structure was efficiently produced for a 10 kDa protein (PF1455) from Pyrococcus furiosus. Its relationship to existing structures and its probable function are discussed.
引用
收藏
页码:480 / 489
页数:10
相关论文
共 50 条
  • [1] NMR-assisted protein structure prediction with MELDxMD
    Robertson, James C.
    Nassar, Roy
    Liu, Cong
    Brini, Emiliano
    Dill, Ken A.
    Perez, Alberto
    PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, 2019, 87 (12) : 1333 - 1340
  • [2] Protein structure prediction assisted with sparse NMR data in CASP13
    Sala, Davide
    Huang, Yuanpeng Janet
    Cole, Casey A.
    Snyder, David A.
    Liu, Gaohua
    Ishida, Yojiro
    Swapna, G. V. T.
    Brock, Kelly P.
    Sander, Chris
    Fidelis, Krzysztof
    Kryshtafovych, Andriy
    Inouye, Masayori
    Tejero, Roberto
    Valafar, Homayoun
    Rosato, Antonio
    Montelione, Gaetano T.
    PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, 2019, 87 (12) : 1315 - 1332
  • [3] NMR-Assisted Structure Elucidation of an Anticancer Steroid-β-Enaminone Derivative
    Poirier, Donald
    Maltais, Rene
    MAGNETOCHEMISTRY, 2017, 3 (04)
  • [4] TOUCHSTONEX: Protein structure prediction with sparse NMR data
    Li, W
    Zhang, Y
    Kihara, D
    Huang, YPJ
    Zheng, DY
    Montelione, GT
    Kolinski, A
    Skolnick, J
    PROTEINS-STRUCTURE FUNCTION AND GENETICS, 2003, 53 (02): : 290 - 306
  • [5] Structure determination from heterogeneous NMR data
    Rieping, W
    Habeck, M
    Nilges, M
    BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING, 2004, 735 : 268 - 275
  • [7] Automatic Protein Structure Determination from Sparse NMR Spectroscopy Data
    MacCallum, Justin L.
    Tang, Yuefeng
    Huang, Y. Janet
    Montelione, Gaetano T.
    BIOPHYSICAL JOURNAL, 2016, 110 (03) : 153A - 153A
  • [8] Improvement in accuracy of protein local structure determination from NMR data
    Sherman, S
    Sclove, S
    Kirnarsky, L
    Tomchin, I
    Shats, O
    JOURNAL OF MOLECULAR STRUCTURE-THEOCHEM, 1996, 368 : 153 - 161
  • [9] An algebraic geometry approach to protein structure determination from NMR data
    Wang, LC
    Mettu, RR
    Donald, BR
    2005 IEEE COMPUTATIONAL SYSTEMS BIOINFORMATICS CONFERENCE, PROCEEDINGS, 2005, : 235 - 246
  • [10] NMR Structure Determination for Larger Proteins Using Backbone-Only Data
    Raman, Srivatsan
    Lange, Oliver F.
    Rossi, Paolo
    Tyka, Michael
    Wang, Xu
    Aramini, James
    Liu, Gaohua
    Ramelot, Theresa A.
    Eletsky, Alexander
    Szyperski, Thomas
    Kennedy, Michael A.
    Prestegard, James
    Montelione, Gaetano T.
    Baker, David
    SCIENCE, 2010, 327 (5968) : 1014 - 1018