A finely tuned interplay between calcium binding, ionic strength and pH modulates conformational and oligomerization equilibria in the Respiratory Syncytial Virus Matrix (M) protein.

As in most enveloped RNA viruses, the Respiratory Syncytial Virus Matrix (RSV-M) protein plays key roles in viral assembly and uncoating. It also plays non-structural roles related to transcription modulation through nucleo-cytoplasmic shuttling and nucleic acid binding ability. We dissected the structural and conformational changes underlying the switch between multiple functionalities, identifying Ca2+ binding as a key factor. To this end, we tackled the analysis of M's conformational stability and equilibria. While in silico calculations predict two potential calcium binding sites per protomer, purified RSV-M dimer contains only one strongly bound calcium ion per protomer. Incubation of RSV-M in the presence of excess Ca2+ leads to an increase in the thermal stability, confirming additional Ca2+ binding sites. Moreover, mild denaturant concentrations trigger the formation of higher order oligomers which are otherwise prevented under Ca2+ saturation conditions, in line with the stabilizing effect of the additional low affinity binding site. On the other hand, Ca2+ removal by chelation at pH 7.0 causes a substantial decrease in the thermal stability leading to the formation of amorphous, spherical-like aggregates, as assessed by TEM. Even though the Ca2+ content modulates RSV-M oligomerization propensity, it does affect its weak RNA binding ability. RSV-M undergoes a substantial conformational change at pHs 4.0 to 5.0 that results in the exposure of hydrophobic surfaces, an increase beta sheet content but burial of tryptophan residues. While low ionic strength promotes dimer dissociation at pH 4.0, physiological concentrations of NaCl lead to the formation of soluble oligomers smaller than 400 kDa at pH 4.0 or insoluble aggregates with tubular morphology at pH 5.0, supporting a fine tuning by pH. Furthermore, the dissociation constants estimated for the low- and high affinity calcium binding sites are 13 µM and 58 nM, respectively, suggesting an intracellular calcium sensing mechanism of RSV-M upon infection. We uncover a finely tuned interplay between calcium binding, ionic strength, and pH changes compatible with the different cellular compartments where M plays key roles, revealing diverse conformational equilibria, oligomerization, and high order structures, required to stabilize the virion particle by a layer of molecules positioned between the membrane and the nucleocapsid.

mebipred: identifying metal-binding potential in protein sequence.

MOTIVATION: metal-binding proteins have a central role in maintaining life processes. Nearly one-third of known protein structures contain metal ions that are used for a variety of needs, such as catalysis, DNA/RNA binding, protein structure stability, etc. Identifying metal-binding proteins is thus crucial for understanding the mechanisms of cellular activity. However, experimental annotation of protein metal-binding potential is severely lacking, while computational techniques are often imprecise and of limited applicability. RESULTS: we developed a novel machine learning-based method, mebipred, for identifying metal-binding proteins from sequence-derived features. This method is over 80% accurate in recognizing proteins that bind metal ion-containing ligands; the specific identity of 11 ubiquitously present metal ions can also be annotated. mebipred is reference-free, i.e. no sequence alignments are involved, and is thus faster than alignment-based methods; it is also more accurate than other sequence-based prediction methods. Additionally, mebipred can identify protein metal-binding capabilities from short sequence stretches, e.g. translated sequencing reads, and, thus, may be useful for the annotation of metal requirements of metagenomic samples. We performed an analysis of available microbiome data and found that ocean, hot spring sediments and soil microbiomes use a more diverse set of metals than human host-related ones. For human microbiomes, physiological conditions explain the observed metal preferences. Similarly, subtle changes in ocean sample ion concentration affect the abundance of relevant metal-binding proteins. These results highlight mebipred's utility in analyzing microbiome metal requirements. AVAILABILITY AND IMPLEMENTATION: mebipred is available as a web server at services.bromberglab.org/mebipred and as a standalone package at https://pypi.org/project/mymetal/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.