Circular dichroism (CD) spectroscopy is a profoundly used technique to decipher the protein and nucleic acid secondary structures as well as the structural changes that occur during the biomolecular interactions. Various algorithms have been developed to predict the protein secondary structural composition(s) from the CD spectra. With this notice, we have developed the CD-NuSS web server to predict the nucleic acid secondary structures from the CD spectral data using machine learning algorithms.