Ligand-based 3D QSAR analysis of reactivation potency of mono- and bis-pyridinium aldoximes toward VX-inhibited rat acetylcholinesterase
Jazyk angličtina Země Spojené státy americké Médium print-electronic
Typ dokumentu časopisecké články, práce podpořená grantem
PubMed
25588616
DOI
10.1016/j.jmgm.2014.11.010
PII: S1093-3263(14)00198-3
Knihovny.cz E-zdroje
- Klíčová slova
- 3D QSAR, Acetylcholinesterase, Computational chemistry, Molecular docking, Reactivators, VX,
- MeSH
- acetylcholinesterasa chemie MeSH
- aktivace enzymů MeSH
- chemické bojové látky chemie MeSH
- cholinesterasové inhibitory chemie MeSH
- GPI-vázané proteiny agonisté antagonisté a inhibitory chemie MeSH
- kinetika MeSH
- krysa rodu Rattus MeSH
- kvantitativní vztahy mezi strukturou a aktivitou MeSH
- kvantová teorie MeSH
- ligandy MeSH
- organothiofosforové sloučeniny chemie MeSH
- oximy chemie MeSH
- pyridinové sloučeniny chemie MeSH
- reaktivátory cholinesterázy chemie MeSH
- simulace molekulární dynamiky MeSH
- simulace molekulového dockingu MeSH
- termodynamika MeSH
- zvířata MeSH
- Check Tag
- krysa rodu Rattus MeSH
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Názvy látek
- acetylcholinesterasa MeSH
- Ache protein, rat MeSH Prohlížeč
- chemické bojové látky MeSH
- cholinesterasové inhibitory MeSH
- GPI-vázané proteiny MeSH
- ligandy MeSH
- organothiofosforové sloučeniny MeSH
- oximy MeSH
- pyridinové sloučeniny MeSH
- reaktivátory cholinesterázy MeSH
- VX MeSH Prohlížeč
To predict unknown reactivation potencies of 12 mono- and bis-pyridinium aldoximes for VX-inhibited rat acetylcholinesterase (rAChE), three-dimensional quantitative structure-activity relationship (3D QSAR) analysis has been carried out. Utilizing molecular interaction fields (MIFs) calculated by molecular mechanical (MMFF94) and quantum chemical (B3LYP/6-31G*) methods, two satisfactory ligand-based CoMFA models have been developed: 1. R(2)=0.9989, Q(LOO)(2)=0.9090, Q(LTO)(2)=0.8921, Q(LMO(20%))(2)=0.8853, R(ext)(2)=0.9259, SDEP(ext)=6.8938; 2. R(2)=0.9962, Q(LOO)(2)=0.9368, Q(LTO)(2)=0.9298, Q(LMO(20%))(2)=0.9248, R(ext)(2)=0.8905, SDEP(ext)=6.6756. High statistical significance of the 3D QSAR models has been achieved through the application of several data noise reduction techniques (i.e. smart region definition SRD, fractional factor design FFD, uninformative/iterative variable elimination UVE/IVE) on the original MIFs. Besides the ligand-based CoMFA models, an alignment molecular set constructed by flexible molecular docking has been also studied. The contour maps as well as the predicted reactivation potencies resulting from 3D QSAR analyses help better understand which structural features are associated with increased reactivation potency of studied compounds.
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