RESUMEN
Human bone morphogenetic protein 2 (hBMP-2) plays a leading role in the process of osteogenesis and is one of the key components of osteoplastic materials, ensuring their high osteoinduction. In order to obtain a homodimeric form hBMP-2 using the E. coli expression system, a number of problems associated with refolding in vitro and purification from monomer and oligomeric forms must be solved. The developed method for co-expression of the target protein with chaperone proteins makes it possible to obtain the biologically active homodimeric form of hBMP-2 in vivo. Purification with simple ion-exchange sorbents without the use of denaturing reagents affecting the structure of the protein molecule provides a chromatographic purity of the product of at least 97%. The expressed hBMP-2 was identified by Western blotting and the LC-ESI-TOF mass spectrometry confirmed its molecular weight of 26052.72 Da. Circular dichroism spectroscopy showed that recombinant hBMP-2 has a native secondary structure.
Asunto(s)
Proteína Morfogenética Ósea 2 , Escherichia coli , Humanos , Proteína Morfogenética Ósea 2/química , Escherichia coli/genética , Escherichia coli/metabolismo , Proteínas Recombinantes/química , Chaperonas Moleculares/genética , Chaperonas Moleculares/metabolismo , Osteogénesis , Proteína Morfogenética Ósea 7/metabolismoRESUMEN
The rational search for allosteric modulators and the allosteric mechanisms of these modulators in the presence of mutations is a relatively unexplored field. Here, we established novel in silico approaches and applied them to SARS-CoV-2 main protease (Mpro) as a case study. First, we identified six potential allosteric modulators. Then, we focused on understanding the allosteric effects of these modulators on each of its protomers. We introduced a new combinatorial approach and dynamic residue network (DRN) analysis algorithms to examine patterns of change and conservation of critical nodes, according to five independent criteria of network centrality. We observed highly conserved network hubs for each averaged DRN metric on the basis of their existence in both protomers in the absence and presence of all ligands (persistent hubs). We also detected ligand specific signal changes. Using eigencentrality (EC) persistent hubs and ligand introduced hubs we identified a residue communication path connecting the allosteric binding site to the catalytic site. Finally, we examined the effects of the mutations on the behavior of the protein in the presence of selected potential allosteric modulators and investigated the ligand stability. One crucial outcome was to show that EC centrality hubs form an allosteric communication path between the allosteric ligand binding site to the active site going through the interface residues of domains I and II; and this path was either weakened or lost in the presence of some of the mutations. Overall, the results revealed crucial aspects that need to be considered in rational computational drug discovery.