1992
DOI: 10.1093/protein/5.3.191
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Quantitative analysis of protein far UV circular dichroism spectra by neural networks

Abstract: A new method based on neural network theory is presented to analyze and quantify the information content of far UV circular dichroism spectra. Using a backpropagation network model with a single hidden layer between input and output, it was possible to deduce five different secondary structure fractions (helix, parallel and antiparallel beta-sheet, beta-turn and random coil) with satisfactory correlations between calculated and measured secondary structure data. We demonstrate that for each wavelength interval… Show more

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Cited by 1,066 publications
(749 citation statements)
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“…Deconvolution of the nMOMP CD spectra with the CDNN secondary structure prediction algorithm40 predicted the fraction of parallel and anti‐parallel β‐sheet secondary structure elements in C. trachomatis Serovars D, E, F, and J nMOMP to be in average 23.6% ± 0.7%. The fraction of β‐sheet elements of C. muridarum nMOMP was with 36.9% significantly higher.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Deconvolution of the nMOMP CD spectra with the CDNN secondary structure prediction algorithm40 predicted the fraction of parallel and anti‐parallel β‐sheet secondary structure elements in C. trachomatis Serovars D, E, F, and J nMOMP to be in average 23.6% ± 0.7%. The fraction of β‐sheet elements of C. muridarum nMOMP was with 36.9% significantly higher.…”
Section: Resultsmentioning
confidence: 99%
“…The CD spectrum we obtained for C. muridarum MOMP had a minimum at 215 nm and a shape that was consistent with the spectrum reported by Sun et al37 We used the CDNN algorithm to deconvolute the CD spectra and estimate the secondary structure composition of all nMOMP preparations (Table 2). 40 The major component of the C. muridarum nMOMP secondary structure was random coil (34.1%), and α‐helix contributed 11.6%. CDNN allows distinguishing between parallel and anti‐parallel β‐sheet secondary structure.…”
Section: Discussionmentioning
confidence: 98%
“…The data were corrected for the baseline con-tribution of the buffer and the observed ellipticities were converted into the mean residue ellipticities (θ) based on a mean molecular mass per residue of 110 Da. Secondary structure was estimated from fi tted far-UV CD spectra using the CDNN software package [38].…”
Section: Circular Dichroism Spectroscopymentioning
confidence: 99%
“…Background spectra of samples (buffer for protein solutions or liposomes only at concentrations corresponding to those in proteoliposome samples) used for baseline correction. The secondary structure content was calculated by means of JASCO software, by using the program CDNN 2.1 [16].…”
Section: Circular Dichroismmentioning
confidence: 99%