Article ; Online: Molecular dynamics-derived pharmacophores of Schistosoma glutathione transferase in complex with bromosulfophthalein: Screening and analysis of potential inhibitors.
Journal of molecular graphics & modelling
2023 Volume 122, Page(s) 108457
Abstract: Schistosoma glutathione transferases (GSTs) have been identified as attractive drug targets for the design of novel antischistosomals. Here, we used in silico methods to validate the discriminative inhibitory properties of bromosulfophthalein (BSP) ... ...
Abstract | Schistosoma glutathione transferases (GSTs) have been identified as attractive drug targets for the design of novel antischistosomals. Here, we used in silico methods to validate the discriminative inhibitory properties of bromosulfophthalein (BSP) against the 26-kDa GST from S. japonicum (Sj26GST), and the 28-kDa GST from S. haematobium (Sh28GST), versus human GST (hGST) isoforms alpha (hGSTA), mu (hGSTM) and pi (hGSTP). The use of BSP as an archetypal selective inhibitor was harnessed to produce molecular dynamics-derived pharmacophores of the two targets. Pharmacophore-based screening using a large dataset of experimental and approved drug compounds was performed to produce a shortlist of candidates. The top candidate for each target was prioritised via molecular docking, yielding guanosine-3'-monophosphate-5'-diphosphate (G3D) for Sj26GST, and quercetin-3'-O-phosphate (Q3P) for Sh28GST. Comparative molecular dynamics studies of both candidates compared to BSP showed similar characteristics of binding stability and strength, suggesting their potential to emulate the inhibitory effects of BSP. |
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MeSH term(s) | Animals ; Humans ; Sulfobromophthalein ; Molecular Docking Simulation ; Molecular Dynamics Simulation ; Pharmacophore ; Schistosoma/metabolism ; Glutathione Transferase/chemistry ; Glutathione Transferase/metabolism ; Glutathione/metabolism |
Chemical Substances | Sulfobromophthalein (0C2P5QKL36) ; Glutathione Transferase (EC 2.5.1.18) ; Glutathione (GAN16C9B8O) |
Language | English |
Publishing date | 2023-03-21 |
Publishing country | United States |
Document type | Journal Article ; Research Support, Non-U.S. Gov't |
ZDB-ID | 1396450-1 |
ISSN | 1873-4243 ; 1093-3263 |
ISSN (online) | 1873-4243 |
ISSN | 1093-3263 |
DOI | 10.1016/j.jmgm.2023.108457 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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