BeStSel (Beta Structure Selection) is a novel method for the secondary structure determination and fold recognition from protein circular dichroism spectra.
 
Single spectrum analysis
and fold recognition
Secondary structure determination distinguishing parallel beta-sheets and antiparallel beta-sheets of different twists, and fold recognition from the CD spectrum.
Fold recognition
 
Prediction of fold class, architecture, topology and homology for the provided secondary structure contents.
 
Multiple spectra analysis
Analysis of a series of spectra as a function of temperature, time, ligand concentration, etc.
Secondary structure and beta-sheet decomposition for PDB structures
 
Secondary structure composition of protein structures deposited in PDB on the basis of the eight structural element decomposed by BeStSel. For comparison, DSSP data and Selcon3 decomposition is also calculated.
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Input format:
The first row should contain the values of the variable as the function of which the spectra were recorded. Below, there are colums. The first column contains the wavelength values and the others columns contain the corresponding spectral data. Therefore, the total number of columns should be equal to the number of values in the first row plus one. Data separator can be either tab, comma, semicolon, or space. //
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?> Example:
25   30   35   40
175 -5.29040 -5.0973 -4.9042 -4.7110
176 -5.68400 -5.4216 -5.1593 -4.8969
177 -5.95660 -5.6231 -5.2895 -4.9560
...
Sample spectrum
(in delta epsilon)
Data as a function of:
Temperature (°C)
Time (sec)
Ligand concentration (mM)
Other...
unit:
Input units:
delta epsilon
mean residue ellipticity
mean residue ellipticity / 1000
measured ellipticity (mdeg)
Concentration (microM):
Number of residues:
Pathlength (cm):
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