Understanding the physical properties that control protein crystallization by analysis of large-scale experimental data

被引:106
|
作者
Price, W. Nicholson, II [1 ,2 ]
Chen, Yang [1 ,2 ]
Handelman, Samuel K. [1 ,2 ]
Neely, Helen [1 ,2 ]
Manor, Philip [1 ,2 ]
Karlin, Richard [1 ,2 ]
Nair, Rajesh [1 ,3 ]
Liu, Jinfeng [1 ,3 ]
Baran, Michael [1 ,4 ]
Everett, John [1 ,4 ]
Tong, Saichiu N. [1 ,4 ]
Forouhar, Farhad [1 ,2 ]
Swaminathan, Swarup S. [1 ,2 ]
Acton, Thomas [1 ,4 ]
Xiao, Rong [1 ,4 ]
Luft, Joseph R. [1 ,5 ]
Lauricella, Angela [1 ,5 ]
DeTitta, George T. [1 ,5 ]
Rost, Burkhard [1 ,3 ]
Montelione, Gaetano T. [1 ,4 ,6 ]
Hunt, John F. [1 ,2 ]
机构
[1] Columbia Univ, NE Struct Genom Consortium, New York, NY 10027 USA
[2] Columbia Univ, Dept Biol Sci, New York, NY 10027 USA
[3] Columbia Univ, Dept Biochem & Mol Biophys, New York, NY 10032 USA
[4] Rutgers State Univ, Ctr Adv Biotechnol & Med, Dept Mol Biol & Biochem, Piscataway, NJ 08854 USA
[5] Hauptman Woodward Inst, Buffalo, NY 14203 USA
[6] Univ Med & Dent New Jersey, Robert Wood Johnson Med Sch, Dept Biochem, Piscataway, NJ 08854 USA
基金
美国国家卫生研究院;
关键词
RNA-POLYMERASE-II; STRUCTURAL GENOMICS; ANGSTROM RESOLUTION; ENTROPY; PROTEOMICS; SERVER; TRANSCRIPTION; MUTATIONS; DISCOVERY; DISORDER;
D O I
10.1038/nbt.1514
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Crystallization is the most serious bottleneck in high-throughput protein-structure determination by diffraction methods. We have used data mining of the large-scale experimental results of the Northeast Structural Genomics Consortium and experimental folding studies to characterize the biophysical properties that control protein crystallization. This analysis leads to the conclusion that crystallization propensity depends primarily on the prevalence of well-ordered surface epitopes capable of mediating interprotein interactions and is not strongly influenced by overall thermodynamic stability. We identify specific sequence features that correlate with crystallization propensity and that can be used to estimate the crystallization probability of a given construct. Analyses of entire predicted proteomes demonstrate substantial differences in the amino acid-sequence properties of human versus eubacterial proteins, which likely reflect differences in biophysical properties, including crystallization propensity. Our thermodynamic measurements do not generally support previous claims regarding correlations between sequence properties and protein stability.
引用
收藏
页码:51 / 57
页数:7
相关论文
共 50 条
  • [31] TranSeqAnnotator: large-scale analysis of transcriptomic data
    Menon, Ranjeeta
    Garg, Gagan
    Gasser, Robin B.
    Ranganathan, Shoba
    BMC BIOINFORMATICS, 2012, 13
  • [32] Large-scale analysis of integrated neurogenomic data
    Schork, Nicholas
    BIOLOGICAL PSYCHIATRY, 2007, 61 (08) : 2S - 2S
  • [33] ANALYSIS OF LARGE-SCALE FIRE TEST DATA
    PEACOCK, RD
    BABRAUSKAS, V
    FIRE SAFETY JOURNAL, 1991, 17 (05) : 387 - 414
  • [34] A Comparison of Approaches to Large-Scale Data Analysis
    Pavlo, Andrew
    Paulson, Erik
    Rasin, Alexander
    Abadi, Daniel J.
    DeWitt, David J.
    Madden, Samuel
    Stonebraker, Michael
    ACM SIGMOD/PODS 2009 CONFERENCE, 2009, : 165 - 178
  • [36] Analysis of large-scale gene expression data
    Sherlock, G
    CURRENT OPINION IN IMMUNOLOGY, 2000, 12 (02) : 201 - 205
  • [37] Sports Video Analysis on Large-Scale Data
    Wu, Dekun
    Zhao, He
    Bao, Xingce
    Wildes, Richard P.
    COMPUTER VISION, ECCV 2022, PT XXXVII, 2022, 13697 : 19 - 36
  • [38] TranSeqAnnotator: large-scale analysis of transcriptomic data
    Ranjeeta Menon
    Gagan Garg
    Robin B Gasser
    Shoba Ranganathan
    BMC Bioinformatics, 13
  • [39] Large-scale complex physical modeling and precision analysis
    Man-Sheng Wu
    Bang-Rang Di
    Jian-Xin Wei
    Xiang-Hao Liang
    Yi Zhou
    Yi-Mou Liu
    Zhao-Ju Kong
    Applied Geophysics, 2014, 11 : 245 - 251
  • [40] Large-scale complex physical modeling and precision analysis
    Wu Man-Sheng
    Di Bang-Rang
    Wei Jian-Xin
    Liang Xiang-Hao
    Zhou Yi
    Liu Yi-Mou
    Kong Zhao-Ju
    APPLIED GEOPHYSICS, 2014, 11 (02) : 245 - 251