| Literature DB >> 36048802 |
Rita Berisio1, Giovanni Delogu2,3.
Abstract
The impact of artificial intelligence (AI) in understanding biological processes is potentially immense. Structural elucidation of mycobacterial PE_PGRS is sustenance to unveil the role of these enigmatic proteins. We propose a PGRS "sailing" model as a smart tool to diffuse along the mycomembrane, to expose structural motifs for host interactions, and/or to ship functional protein modules at their C-terminus.Entities:
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Year: 2022 PMID: 36048802 PMCID: PMC9436101 DOI: 10.1371/journal.ppat.1010760
Source DB: PubMed Journal: PLoS Pathog ISSN: 1553-7366 Impact factor: 7.464
Fig 1Structural features of PE_PGRS.
(A) A schematic view of the organization of a PE_PGRS protein in PE, linker, and PGRS domain. The conserved GRPLI is highlighted. (B) Stick representation of our previously proposed structural model of a PGRS PGII sandwich domain [4,5]; hydrophobic residues on 1 edge and conserved glycine residues pointing inwards the PGII sandwich are labeled. (C, D) Structural representation of PE_PGRS33 and PE_PGRS35 structures, respectively. PE_PGRS33 PE domain is shown in magenta cartoon, the PGRSs domains in white stick/surface, the PE_PGRS35 catalytic domain in prune cartoon/surface. Hydrophobic residues lining the straight edges of the PGRS33 and PGRS35 domains are colored orange, those of PE_PGRS35 catalytic domain in yellow. (E, F) Two 180° views of electrostatic potential surfaces of PGRS33 and PGRS35, respectively.
Fig 2A speculative drawing of PE_PGRS33 (white), −35 (white-prune), and Wag22 (blue-green) proteins sailing the mycomembrane.
TLR2 (pdb code 6nig) was docked on PGRS33 structure by combining surface complementarity, using the software PatchDock, with refinement of electrostatic interactions and desolvation energy, using FireDock. Structure-based B cell antigen prediction was performed using ElliPro.