State-of-the-art bioinformatics protein structure prediction tools (Review)

被引:23
|
作者
Pavlopoulou, Athanasia [2 ]
Michalopoulos, Ioannis [1 ]
机构
[1] Acad Athens, Biomed Res Fdn, Ctr Immunol & Transplantat, Athens 11527, Greece
[2] Univ Patras, Dept Pharm, Sch Hlth Sci, Rion, Greece
关键词
protein structure prediction; multiple sequence alignment; pairwise sequence similarity search; phylogenetic analysis; SECONDARY STRUCTURE PREDICTION; MULTIPLE SEQUENCE ALIGNMENT; WEB SERVER; FUNCTIONAL ANNOTATION; FOLD RECOGNITION; NATIONAL CENTER; LARGE-SCALE; PSI-BLAST; GOR-V; DATABASE;
D O I
10.3892/ijmm.2011.705
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
Knowledge of the native structure of a protein could provide an understanding of the molecular basis of its function. However, in the postgenomics era, there is a growing gap between proteins with experimentally determined structures and proteins without known structures. To deal with the overwhelming data, a collection of automated methods as bioinformatics tools which determine the structure of a protein from its amino acid sequence have emerged. The aim of this paper is to provide the experimental biologists with a set of cutting-edge, carefully evaluated, user-friendly computational tools for protein structure prediction that would be helpful for the interpretation of their results and the rational design of new experiments.
引用
收藏
页码:295 / 310
页数:16
相关论文
共 50 条
  • [1] Critically assessing the state-of-the-art in protein structure prediction
    Jones D.T.
    The Pharmacogenomics Journal, 2001, 1 (2) : 126 - 134
  • [2] RELIABILITY PREDICTION - A STATE-OF-THE-ART REVIEW
    OCONNOR, PDT
    HARRIS, LN
    IEE PROCEEDINGS-A-SCIENCE MEASUREMENT AND TECHNOLOGY, 1986, 133 (04): : 202 - 216
  • [3] State-of-the-art web services for de novo protein structure prediction
    Abriata, Luciano A.
    Dal Peraro, Matteo
    BRIEFINGS IN BIOINFORMATICS, 2021, 22 (03)
  • [4] A state-of-the-art review and evaluation of tools for factory sustainability assessment
    Chen, Danfang
    Schudeleit, Timo
    Posselt, Gerrit
    Thiede, Sebastian
    2ND CIRP GLOBAL WEB CONFERENCE - BEYOND MODERN MANUFACTURING: TECHNOLOGY FOR THE FACTORIES OF THE FUTURE (CIRPE2013), 2013, 9 : 85 - 90
  • [5] Modeling, simulation and control tools for nZEB: A state-of-the-art review
    Santos-Herrero, J. M.
    Lopez-Guede, J. M.
    Flores-Abascal, I
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2021, 142
  • [6] Dynamic error of CNC machine tools: a state-of-the-art review
    Lyu, Dun
    Liu, Qing
    Liu, Hui
    Zhao, Wanhua
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2020, 106 (5-6): : 1869 - 1891
  • [7] Prediction Models of Adnexal Masses: State-of-the-Art Review
    Mina, Maria
    Kosmas, Ioannis
    Tsakiridis, Ioannis
    Mamopoulos, Apostolos
    Kalogiannidis, Ioannis
    Athanasiadis, Apostolos
    Dagklis, Themistoklis
    OBSTETRICAL & GYNECOLOGICAL SURVEY, 2021, 76 (04) : 211 - 222
  • [8] A Review of Latest Web Tools and Libraries for State-of-the-art Visualization
    Shahzad, Farrukh
    Sheltami, Tarek R.
    Shakshuki, Elhadi M.
    Shaikh, Omar
    7TH INTERNATIONAL CONFERENCE ON EMERGING UBIQUITOUS SYSTEMS AND PERVASIVE NETWORKS (EUSPN 2016)/THE 6TH INTERNATIONAL CONFERENCE ON CURRENT AND FUTURE TRENDS OF INFORMATION AND COMMUNICATION TECHNOLOGIES IN HEALTHCARE (ICTH-2016), 2016, 98 : 100 - 106
  • [9] Dynamic error of CNC machine tools: a state-of-the-art review
    Dun Lyu
    Qing Liu
    Hui Liu
    Wanhua Zhao
    The International Journal of Advanced Manufacturing Technology, 2020, 106 : 1869 - 1891
  • [10] A state-of-the-art review on wind power deterministic prediction
    Tian, Zhongda
    WIND ENGINEERING, 2021, 45 (05) : 1374 - 1392