4.8 Article

BeStSel: a web server for accurate protein secondary structure prediction and fold recognition from the circular dichroism spectra

期刊

NUCLEIC ACIDS RESEARCH
卷 46, 期 W1, 页码 W315-W322

出版社

OXFORD UNIV PRESS
DOI: 10.1093/nar/gky497

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资金

  1. National Research, Development and Innovation Fund of Hungary [K_120391, KH_125597, 2017-1.2.1-NKP-2017-00002, FIEK_16-1-2016-0005, TET_16-1-2016-0134, TETA_6-1-2016-0197]
  2. SOLEIL Synchrotron, France [20171582, 20160916, 20151300, 20150515]
  3. Campus France [Balaton-Programme Hubert Curien] [38642YK]
  4. Institute for Protein Research, Osaka University [ICR-17-02]
  5. ICR-17-02]
  6. JSPS KAKFNHI [15K18518, 25870407, 15K07038]
  7. Hungarian Academy of Sciences, kinos Bolyai Scholarship

向作者/读者索取更多资源

Circular dichroism (CD) spectroscopy is a widely used method to study the protein secondary structure. However, for decades, the general opinion was that the correct estimation of beta-sheet content is challenging because of the large spectral and structural diversity of beta-sheets. Recently, we showed that the orientation and twisting of beta-sheets account for the observed spectral diversity, and developed a new method to estimate accurately the secondary structure (PNAS, 112, E3095). BeStSel web server provides the Beta Structure Selection method to analyze the CD spectra recorded by conventional or synchrotron radiation CD equipment. Both normalized and measured data can be uploaded to the server either as a single spectrum or series of spectra. The originality of BeStSel is that it carries out a detailed secondary structure analysis providing information on eight secondary structure components including parallel-beta structure and antiparallel beta-sheets with three different groups of twist. Based on these, it predicts the protein fold down to the topology/homology level of the CATH protein fold classification. The server also provides a module to analyze the structures deposited in the PDB for BeStSel secondary structure contents in relation to Dictionary of Secondary Structure of Proteins data.

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