V
Vit Janota
Researcher at Charles University in Prague
Publications - 12
Citations - 236
Vit Janota is an academic researcher from Charles University in Prague. The author has contributed to research in topics: Vibrational circular dichroism & Polynucleotide. The author has an hindex of 5, co-authored 12 publications receiving 234 citations.
Papers
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Journal ArticleDOI
Comparison of and limits of accuracy for statistical analyses of vibrational and electronic circular dichroism spectra in terms of correlations to and predictions of protein secondary structure.
Petr Pancoska,Petr Pancoska,Eduard Bitto,Vit Janota,Marie Urbanová,Vijai P. Gupta,Timothy A. Keiderling +6 more
TL;DR: The heterogeneity of protein structure is a fundamental limitation to the use of such spectral analysis methods, and the underutilization of these data for prediction of secondary structure suggests spectral data could predict a more detailed descriptor.
Patent
Polynucleotides for use as tags and tag complements, manufacture and use thereof
Petr Pancoska,Vit Janota,Albert S. Benight,Richard S. Bullock,Peter V. Riccelli,Daniel Kobler,Daniel Fieldhouse +6 more
TL;DR: A family of minimally cross-hybridizing nucleotide sequences, methods of use, and a specific family of 210 24mers is described in this paper, which is based on the same approach as the one described in this paper.
Journal ArticleDOI
Quantitative analysis of vibrational circular dichroism spectra of proteins. Problems and perspectives
TL;DR: This study is based primarily on the optimization of the calculation to predict FC values for proteins not included in the reference data set used for regression, and the best prediction is obtained with the function using only part of the observable independent VCD spectral components.
Journal ArticleDOI
Novel Matrix Descriptor for Secondary Structure Segments in Proteins: Demonstration of Predictability from Circular Dichroism Spectra
TL;DR: An extension to standard protein secondary structure predictions using optical spectra that encompasses the number and average lengths of segments of uniform secondary structure in the sequence is demonstrated and shows that the matrix descriptor can be predicted to an accuracy comparable to that of conventionally predicted average fractional secondary structures.
Journal ArticleDOI
Interconvertibility of Electronic and Vibrational Circular Dichroism Spectra of Proteins: A Test of Principle Using Neural Network Mapping
TL;DR: Results show that the effects of partial deuteration on the VCD spectra band shape are predictable from the H2O spectra, and Insight into the details of how the neural networks encode and process the spectroscopic information is derived from a spectral representation of these weight matrices.