Circular dichroism (CD) spectroscopy is a well-established biophysical technique used to investigate the structure of molecules. The analysis of a protein CD spectrum depends on the quality of the original CD data, which can be affected by the sample purity, background absorption of the additives/solvent/buffer, the choice of the parameters used for data collection, etc. In this paper, the CD spectrum of myoglobin was used as a model to exploit how variations on each data collection parameter could affect the final protein CD spectrum and, the subsequent effect of them on the quantitative analysis of protein secondary structure. Bioinformatics analysis carried out with SESCA package and PDBMD2CD server predicted a theoretical myoglobin CD spectrum, and a Monte Carlo-like model was implemented to estimate the uncertainty in secondary structure predictions performed with CDSSTR, Selcon 3 and ContinLL algorithms. An inappropriate choice of data collection parameters can lead to a misinterpretation of the CD data in terms of the protein structural content.
Keywords: Biophysical method; Circular dichroism spectroscopy; Monte Carlo-like model; Secondary structure analysis; Uncertainty estimation.