1H, 15N, and 13C resonance assignments of the N-terminal domain and ser-arg-rich intrinsically disordered region of the nucleocapsid protein of the SARS-CoV-2.

The nucleocapsid (N) protein of SARS-CoV-2 is a multifunctional protein involved in nucleocapsid assembly and various regulatory functions. It is the most abundant protein during viral infection. Its functionality is closely related to its structure, which comprises two globular domains, the N-terminal domain (NTD) and the C-terminal domain (CTD), flanked by intrinsically disordered regions. The linker between the NTD and CTD includes a Serine-Arginine rich (SR) region, which is crucial for the regulation of the N protein's function. Here, we report the near-complete assignment of the construct containing the NTD followed by the SR region (NTD-SR). Additionally, we describe the dynamic nature of the SR region and compare it with all other available chemical shift assignments reported for the SR region.

Understanding the Structural Requirements of Peptide-Protein Interaction and Applications for Peptidomimetic Development.

Protein-protein interaction is at the heart of most biological processes, and small peptides that bind to protein binding sites are resourceful tools to explore and understand the structural requirements for these interactions. In that sense, phage display is a well-suited technology to study protein-protein interactions, as it allows for unbiased screening of billions of peptides in search for those that interact with a protein binding domain. Here, we will illustrate how two distinct but complementary approaches, phage display and nuclear magnetic resonance (NMR), can be utilized to unveil structural details of peptide-protein interaction. Finally, knowledge derived from phage mutagenesis and NMR studies can be streamlined for quick peptidomimetic design and synthesis using the retroinversion approach to validate using in vitro and in vivo assays the therapeutic potential of peptides identified by phage display.

Prediction of the amount of secondary structure of proteins using unassigned NMR spectra: a tool for target selection in structural proteomics

With the advent of structural genomics, the need for fast structural information about unknown proteins has increased. We describe a new methodology, based on 13C, 15N and ¹H chemical shift dispersion to predict the amount of secondary structure of unassigned proteins from their 15N- and/or 13C-edited heteronuclear single quantum coherence (HSQC) spectra. This methodology has been coded into a software called PASSNMR (Prediction of the Amount of Secondary Structure by Nuclear Magnetic Resonance), which can be accessed directly from the Internet. PASSNMR program is a powerful tool for screening proteins for proteomic or structural genomic investigations when used with recent methodologies that take advantage of the use of the antibiotic rifampicin to selectively label the heterologous proteins expressed in E. coli. PASSNMR analysis can be useful as a first approach to predict the amount of secondary structure in proteins to structural genomics. Information about the secondary structure of proteins can be obtained even before protein purification, with small quantities of protein, just by performing two simple nuclear magnetic resonance (NMR) experiments and using PASSNMR program.