ArticleApplied spectroscopy2024
Reference Data Set for Circular Dichroism Spectroscopy Comprised of Validated Intrinsically Disordered Protein Models.
Article in Applied spectroscopy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed.
- Hydrogen-exchange behavior of the L20A mutant of the protein A B domain in guanidinium chloride: evidence for persistent native-like contacts.Scientific reports · 2026Article
- Toward a unified framework for determining conformational ensembles of disordered proteins.Nature methods · 2026Review
- A New Approach to Define Spectral References for Nucleic Acids Structural Groups.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Supercritical fluid treatment for egg white protein modification: a comprehensive review.Food science and biotechnology · 2025Review
- BeStSel: analysis site for protein CD spectra-2025 update.Nucleic acids research · 2025Article
- An origin for a eukaryotic lipid transfer protein fold in Asgard archaea.bioRxiv : the preprint server for biology · 2025Article
- Biochemical characterization and activity profiling of recombinant phospholipase A2 from Hemiscorpius lepturus expressed in E. coli with in vivo antibody response.Scientific reports · 2025Article
- A workflow to define structural classes and classify nucleic acids circular dichroism spectra.QRB discovery · 2025Review
- Estimation of Peptide Helicity from Circular Dichroism Using the Ensemble Model.The journal of physical chemistry. B · 2024Article
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4 authors.
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Abstract
Circular dichroism (CD) spectroscopy is an analytical technique that measures the wavelength-dependent differential absorbance of circularly polarized light and is applicable to most biologically important macromolecules, such as proteins, nucleic acids, and carbohydrates. It serves to characterize the secondary structure composition of proteins, including intrinsically disordered proteins, by analyzing their recorded spectra. Several computational tools have been developed to interpret protein CD spectra. These methods have been calibrated and tested mostly on globular proteins with well-defined structures, mainly due to the lack of reliable reference structures for disordered proteins. It is therefore still largely unclear how accurately these computational methods can determine the secondary structure composition of disordered proteins. Here, we provide such a required reference data set consisting of model structural ensembles and matching CD spectra for eight intrinsically disordered proteins. Using this set of data, we have assessed the accuracy of several published CD prediction and secondary structure estimation tools, including our own CD analysis package, SESCA. Our results show that for most of the tested methods, their accuracy for disordered proteins is generally lower than for globular proteins. In contrast, SESCA, which was developed using globular reference proteins, but was designed to be applicable to disordered proteins as well, performs similarly well for both classes of proteins. The new reference data set for disordered proteins should allow for further improvement of all published methods.
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