CD_Fit5                A Method using Match and Linear Regression to Estimate Protein
                               Secondary Structure from Circular Dichroism Spectra
 
    CD_fit5 is an algorithm to estimate the secondary structure of a protein from its circular dichroism (CD) spectrum.  This is accomplished by first matching the given spectrum to the existent spectral  dataset of known proteins, using the normalized root mean square deviations (NRMSD) as a goodness-of -fit paramenter.  The residual spectrum is then fit by the other 4 standard spectra  using linear regression. The CD measurement is carried out by synchron radiation with measurement range in vacuum ultraviolet (175 nm to 260 nm), which could cover most of the experimental data.  The program provides a friendly interface for user to understand and operate and the dataset can be easily modified even for non-expert users.  CD_Fit5 can also evaluate the effects of mutations, ligands and solvents on the protein secondary structure conformation.

Go to Web Server of CD_Fit5    (Web browser shall support HTML5)

Detail discription
    CD_Fit5 program used 20  intrinsic CD spectra for the initial matching, the protein dataset of 20 proteins included :   Myoglobin (Myo), Rice amylase subtilisin inhibitor (RASI), Aprotinin (APRT), Beta lactoglobulin (BLAC), Calmodulin (CAL),  Carbonic anhydrase II (CA2), Citrate synthase (CITS), Concanavalin A(CONA), Ferredoxin (FERD), Glycogen phosphorylase-b (GPB), Beta-crystallin S (B-Crysl), Nitrogen metabolite repression regulator (NMRA), Phenylethanolamine N-methyltransferase (PNMT) Ubiquitin(UBIQ), Beta amylase (BAMY),  Jacalin (JAC), Superoxide dismutase (SOD), Alpha Amylase (AAMY), Reaction centre protein (RCP),  Sucrose porin (Porin).

After finding the best matching for the spectrum in query, the residual was acquired by subtracting a proportion of the best match. ( the proportion factor can be adjusted in the interface) from the query spectrum. The residual spectrum is then fitted by 4 CD spectra of individual standard secondary structures using linear regression. The secondary structure ratio for the query spectrum was a weighted linear combination of the ratio from the matching protein and 4 standard structures. 

Dataset of 20 proteins
Figure Left: The CD dataset of  20 proteins for matching. Right: Secondary structure space coverage (percentage of helix versus percentage of sheet) of the 20 proteins for matching.



STD peptides
Figure: The CD dataset of 4 standard 2nd structural peptides: Helix 100% (Poly-L-glutamic, pH: 4, ddH2O) [Rad], Sheet 100% [Dark Cyan], Random Coil 100% (Poly-L-glutamic, pH: 7, ddH2O) [Blue], Turn 100% (simulated) [Orange].