Template-based recognition of protein fold within the midnight and twilight zones of protein sequence similarity

被引:3
|
作者
Pirun, M
Babnigg, G
Stevens, FJ [1 ]
机构
[1] Argonne Natl Lab, Biosci Div, Argonne, IL 60439 USA
[2] Univ Illinois, Dept Bioengn, Chicago, IL 60607 USA
关键词
homology; fold recognition; evolution; statistical insignificance;
D O I
10.1002/jmr.728
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
Most homologous pairs of proteins have no significant sequence similarity to each other and are not identified by direct sequence comparison or profile-based strategies. However, multiple sequence alignments of low similarity homologues typically reveal a limited number of positions that are well conserved despite diversity of function. It may be inferred that conservation at most of these positions is the result of the importance of the contribution of these amino acids to the folding and stability of the protein. As such, these amino acids and their relative positions may define a structural signature. We demonstrate that extraction of this fold template provides the basis for the sequence database to be searched for patterns consistent with the fold, enabling identification of homologs that are not recognized by global sequence analysis. The fold template method was developed to address the need for a tool that could comprehensively search the midnight and twilight zones of protein sequence similarity without reliance on global statistical significance. Manual implementations of the fold template method were performed on three folds-immunoglobulin, c-lectin and TIM barrel. Following proof of concept of the template method, an automated version of the approach was developed. This automated fold template method was used to develop fold templates for 10 of the more populated folds in the SCOP database. The fold template method developed three-dimensional structural motifs or signatures that were able to return a diverse collection of proteins, while maintaining a low false positive rate. Although the results of the manual fold template method were more comprehensive than the automated fold template method, the diversity of the results from the automated fold template method surpassed those of current methods that rely on statistical significance to infer evolutionary relationships among divergent proteins. Copyright (c) 2004 John Wiley & Sons, Ltd.
引用
收藏
页码:203 / 212
页数:10
相关论文
共 50 条
  • [21] Gramm: A webserver for free and template-based protein docking
    Singh, Amar
    Copeland, Matthew M.
    Kundrotas, Petras J.
    Vakser, Ilya A.
    BIOPHYSICAL JOURNAL, 2023, 122 (03) : 47A - 47A
  • [22] Template-Based Protein Modeling: Recent Methodological Advances
    Daga, Pankaj R.
    Patel, Ronak Y.
    Doerksen, Robert J.
    CURRENT TOPICS IN MEDICINAL CHEMISTRY, 2010, 10 (01) : 84 - 94
  • [23] Template-based protein structure modeling using TASSERVMT
    Zhou, Hongyi
    Skolnick, Jeffrey
    PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, 2012, 80 (02) : 352 - 361
  • [24] Template-Based Modeling of Protein-RNA Interactions
    Zheng, Jinfang
    Kundrotas, Petras J.
    Vakser, Ilya A.
    Liu, Shiyong
    PLOS COMPUTATIONAL BIOLOGY, 2016, 12 (09)
  • [25] Refinement of unreliable local regions in template-based protein models
    Park, Hahnbeom
    Seok, Chaok
    PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, 2012, 80 (08) : 1974 - 1986
  • [26] LoopIng: a template-based tool for predicting the structure of protein loops
    Messih, Mario Abdel
    Lepore, Rosalba
    Tramontano, Anna
    BIOINFORMATICS, 2015, 31 (23) : 3767 - 3772
  • [27] Template-Based Protein Modeling using Global and Local Templates
    Ko, Junsu
    Park, Hahnbeom
    Seok, Chaok
    Lee, Jooyoung
    BIOPHYSICAL JOURNAL, 2010, 98 (03) : 461A - 461A
  • [28] Estimating quality of template-based protein models by alignment stability
    Chen, Hao
    Kihara, Daisuke
    PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, 2008, 71 (03) : 1255 - 1274
  • [29] Template-based protein-protein docking exploiting pairwise interfacial residue restraints
    Xue, Li C.
    Rodrigues, Joao P. G. L. M.
    Dobbs, Drena
    Honavar, Vasant
    Bonvin, Alexandre M. J. J.
    BRIEFINGS IN BIOINFORMATICS, 2017, 18 (03) : 458 - 466
  • [30] Protein fold recognition using sequence-derived predictions
    Fischer, D
    Eisenberg, D
    PROTEIN SCIENCE, 1996, 5 (05) : 947 - 955