Pinard, M. | Search bioRxiv

bioRxiv2023

High-accuracy mapping of human and viral direct physical protein-protein interactions using the novel computational system AlphaFold-pairs

Protein-protein interactions are central, highly flexible components of regulatory mechanisms in all living cells. Over the years, diverse methods have been developed to map protein-protein interactions. These methods have revealed the organization of protein complexes and networks in numerous cells and conditions. However, these methods are also time consuming, costly and sensitive to various experimental artifacts. To avoid these caveats, we have taken advantage of the AlphaFold-Multimer software, which succeeded in predicting the structure of many protein complexes. We designed a relatively simple algorithm based on assessing the physical proximity of a test protein with other AlphaFold structures. Using this method, named AlphaFold-pairs, we have successfully defined the probability of a protein-protein interaction forming. AlphaFold-pairs was validated using well-defined protein-protein interactions found in the literature and specialized databases. All pairwise interactions forming within the 12-subunit transcription machinery RNA Polymerase II, according to available structures, have been identified. Out of 66 possible interactions (excluding homodimers), 19 specific interactions have been found, and an additional previously unknown interaction has been unveiled. The SARS-CoV-2 surface glycoprotein Spike (or S) was confirmed to interact with high preference with the human ACE2 receptor when compared to other human receptors. Notably, two additional receptors, INSR and FLT4, were found to interact with S. For the first time, we have successfully identified protein-protein interactions that are likely to form within the reassortant Eurasian avian-like (EA) H1N1 swine G4 genotype Influenza A virus, which poses a potential zoonotic threat. Testing G4 proteins against human transcription factors and molecular chaperones (a total of 100 proteins) revealed strong specific interactions between the G4 HA and HSP90B1, the G4 NS and the PAQosome subunit RPAP3, as well as the G4 PA and the POLR2A subunit. We predict that AlphaFold-pairs will revolutionize the study of protein-protein interactions in a large number of healthy and diseased systems in the years to come.

bioinformatics↗

bioRxiv2021

The unphosphorylated form of the PAQosome core subunit RPAP3 binds ribosomal preassembly complexes to modulate ribosome biogenesis.

The PAQosome (Particle for Arrangement of Quaternary structure) is a twelve-subunit HSP90 co-chaperone involved in the biogenesis of several human protein complexes. Two mechanisms of client selection have previously been identified, namely the selective recruitment of specific adaptors and the differential use of homologous core subunits. Here, we describe a third client selection mechanism by showing that RPAP3, one of the core PAQosome subunits, is phosphorylated at several Ser residues in HEK293 cells. Affinity purification coupled with mass spectrometry (AP-MS) using expression of tagged RPAP3 with single phospho-null mutations at Ser116, Ser119 or Ser121 reveals binding of the unphosphorylated form to several proteins involved in ribosome biogenesis. In vitro phosphorylation assays indicate that the kinase CK2 phosphorylates these RPAP3 residues. This finding is supported by data showing that pharmacological inhibition of CK2 enhances binding of RPAP3 to ribosome preassembly factors in AP-MS experiments. Moreover, silencing of PAQosome subunits interferes with ribosomal assembly factors interactome. Altogether, these results indicate that RPAP3 phosphate group addition/removal at specific residues modulates binding to subunits of preribosomal complexes and allows speculating that PAQosome posttranslational modifications is a mechanism of client selection.

biochemistry↗