Ligand-based 3D QSAR analysis of reactivation potency of mono- and bis-pyridinium aldoximes toward VX-inhibited rat acetylcholinesterase.

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.

[1]  J. Sussman,et al.  Acetylcholinesterase , 2007, Journal of Molecular Neuroscience.

[2]  M. Froment,et al.  Aging of cholinesterases phosphylated by tabun proceeds through O-dealkylation. , 2008, Journal of the American Chemical Society.

[3]  Paolo Tosco,et al.  Open3DALIGN: an open-source software aimed at unsupervised ligand alignment , 2011, J. Comput. Aided Mol. Des..

[4]  J. Dearden,et al.  QSAR modeling: where have you been? Where are you going to? , 2014, Journal of medicinal chemistry.

[5]  K. Kuča,et al.  Docking studies and effects of syn-anti isomery of oximes derived from pyridine imidazol bicycled systems as potential human acetylcholinesterase reactivators , 2011 .

[6]  Jitender Verma,et al.  3D-QSAR in drug design--a review. , 2010, Current topics in medicinal chemistry.

[7]  K. Kuča,et al.  Structure-activity relationship for the reactivators of acetylcholinesterase inhibited by nerve agent VX. , 2013, Medicinal chemistry (Shariqah (United Arab Emirates)).

[8]  K. Kuča,et al.  Design, evaluation and structure—Activity relationship studies of the AChE reactivators against organophosphorus pesticides , 2011, Medicinal research reviews (Print).

[9]  R. Dawson,et al.  Review of oximes available for treatment of nerve agent poisoning , 1994, Journal of applied toxicology : JAT.

[10]  Huabei Zhang,et al.  Combined 3D-QSAR modeling and molecular docking study on 1,4-dihydroindeno[1,2-c]pyrazoles as VEGFR-2 kinase inhibitors. , 2010, Journal of molecular graphics & modelling.

[11]  W. Delano The PyMOL Molecular Graphics System , 2002 .

[12]  V. A. Palyulin,et al.  Combined QSAR studies of inhibitor properties of O-phosphorylated oximes toward serine esterases involved in neurotoxicity, drug metabolism and Alzheimer's disease , 2012, SAR and QSAR in environmental research.

[13]  K. Kuča,et al.  7-MEOTA-donepezil like compounds as cholinesterase inhibitors: Synthesis, pharmacological evaluation, molecular modeling and QSAR studies. , 2014, European journal of medicinal chemistry.

[14]  Kamil Kuca,et al.  Treatment of organophosphate intoxication using cholinesterase reactivators: facts and fiction. , 2007, Mini reviews in medicinal chemistry.

[15]  J. Madura,et al.  Exploring the physicochemical properties of oxime-reactivation therapeutics for cyclosarin, sarin, tabun, and VX inactivated acetylcholinesterase. , 2014, Chemical research in toxicology.

[16]  M. Nagao,et al.  Definitive evidence for the acute sarin poisoning diagnosis in the Tokyo subway. , 1997, Toxicology and applied pharmacology.

[17]  Torsten Schindler,et al.  Toward robust QSPR models: Synergistic utilization of robust regression and variable elimination , 2008, J. Comput. Chem..

[18]  K. Kuča,et al.  An attempt to assess functionally minimal acetylcholinesterase activity necessary for survival of rats intoxicated with nerve agents. , 2008, Chemico-biological interactions.

[19]  V. Dohnal,et al.  Mono-oxime bisquaternary acetylcholinesterase reactivators with prop-1,3-diyl linkage-Preparation, in vitro screening and molecular docking. , 2011, Bioorganic & medicinal chemistry.

[20]  D. Massart,et al.  Elimination of uninformative variables for multivariate calibration. , 1996, Analytical chemistry.

[21]  S Minoshima,et al.  Diagnosis and management of dementia with Lewy bodies , 2005, Neurology.

[22]  V. Dohnal,et al.  Prediction of a new broad-spectrum reactivator capable of reactivating acetylcholinesterase inhibited by nerve agents , 2005 .

[23]  A. Tropsha,et al.  Beware of q2! , 2002, Journal of molecular graphics & modelling.

[24]  Robert G. Parr,et al.  Density Functional Theory , 1983 .

[25]  Michael L. Connolly,et al.  Computation of molecular volume , 1985 .

[26]  A. Nordberg,et al.  Cholinesterase Inhibitors in the Treatment of Alzheimer’s Disease , 1998, Drug safety.

[27]  Davide Ballabio,et al.  Evaluation of model predictive ability by external validation techniques , 2010 .

[28]  Arthur J. Olson,et al.  AutoDock Vina: Improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading , 2009, J. Comput. Chem..

[29]  K. Kuča,et al.  In silico pharmacophore model for tabun-inhibited acetylcholinesterase reactivators: a study of their stereoelectronic properties. , 2010, Chemical research in toxicology.

[30]  F. Worek,et al.  A structure-activity analysis of the variation in oxime efficacy against nerve agents. , 2008, Toxicology and applied pharmacology.

[31]  S. Wold,et al.  PLS-regression: a basic tool of chemometrics , 2001 .

[32]  T. Halgren Merck molecular force field. II. MMFF94 van der Waals and electrostatic parameters for intermolecular interactions , 1996 .

[33]  R. Young,et al.  Organophosphate nerve agents , 2020, Handbook of Toxicology of Chemical Warfare Agents.

[34]  G. A. Meneely,et al.  Effects of the organophosphate insecticides diazinon and parathion on bobwhite quail embryos: skeletal defects and acetylcholinesterase activity. , 1989, The Journal of experimental zoology.

[35]  S. Brimijoin,et al.  Rational design of alkylene-linked bis-pyridiniumaldoximes as improved acetylcholinesterase reactivators. , 2003, Chemistry & biology.

[36]  F. Worek,et al.  Reactivation kinetics of a series of related bispyridinium oximes with organophosphate-inhibited human acetylcholinesterase--Structure-activity relationships. , 2012, Biochemical pharmacology.

[37]  S. Brimijoin,et al.  Cholinesterase Reactivation in Vivo with a Novel Bis-Oxime Optimized by Computer-Aided Design , 2003, Journal of Pharmacology and Experimental Therapeutics.

[38]  P. Renard,et al.  Design, synthesis and biological evaluation of novel tetrahydroacridine pyridine- aldoxime and -amidoxime hybrids as efficient uncharged reactivators of nerve agent-inhibited human acetylcholinesterase. , 2014, European journal of medicinal chemistry.

[39]  K. Kuča,et al.  Structure-Activity Relationship of Acetylcholinesterase Reactivators -Antidotes Against Nerve Agents , 2007 .

[40]  K. Kuča,et al.  Development of new acetylcholinesterase reactivators: molecular modeling versus in vitro data. , 2010, Chemico-biological interactions.

[41]  K. Héberger,et al.  Estimation of influential points in any data set from coefficient of determination and its leave-one-out cross-validated counterpart , 2013, Journal of Computer-Aided Molecular Design.

[42]  Gert Thijs,et al.  Pharao: pharmacophore alignment and optimization. , 2008, Journal of molecular graphics & modelling.

[43]  R. Cramer Partial Least Squares (PLS): Its strengths and limitations , 1993 .

[44]  Peter Willett,et al.  Alignment of three-dimensional molecules using an image recognition algorithm. , 2004, Journal of molecular graphics & modelling.

[45]  Mika A. Kastenholz,et al.  GRID/CPCA: a new computational tool to design selective ligands. , 2000, Journal of medicinal chemistry.

[46]  D. Lorke,et al.  Minireview: does in‐vitro testing of oximes help predict their in‐vivo action after paraoxon exposure? , 2009, Journal of applied toxicology : JAT.

[47]  M. Balali-Mood,et al.  Advances in toxicology and medical treatment of chemical warfare nerve agents , 2012, DARU Journal of Pharmaceutical Sciences.

[48]  Peter C. Fox,et al.  Statistical variation in progressive scrambling , 2004, J. Comput. Aided Mol. Des..

[49]  M. Prostran,et al.  Pyridinium oximes as cholinesterase reactivators. Structure-activity relationship and efficacy in the treatment of poisoning with organophosphorus compounds. , 2009, Current medicinal chemistry.

[50]  M Pastor,et al.  Smart region definition: a new way to improve the predictive ability and interpretability of three-dimensional quantitative structure-activity relationships. , 1997, Journal of medicinal chemistry.

[51]  Jaroslaw Polanski,et al.  Modeling Robust QSAR, 2. Iterative Variable Elimination Schemes for CoMSA: Application for Modeling Benzoic Acid pKa Values , 2007, J. Chem. Inf. Model..

[52]  K. Kuča,et al.  From pyridinium-based to centrally active acetylcholinesterase reactivators. , 2014, Mini reviews in medicinal chemistry.

[53]  Richard A. Lewis,et al.  Three-dimensional pharmacophore methods in drug discovery. , 2010, Journal of medicinal chemistry.

[54]  A. Volgenant,et al.  A shortest augmenting path algorithm for dense and sparse linear assignment problems , 1987, Computing.

[55]  Paolo Tosco,et al.  A 3D-QSAR-Driven Approach to Binding Mode and Affinity Prediction , 2012, J. Chem. Inf. Model..

[56]  P. Eyer,et al.  Kinetic analysis of interactions between human acetylcholinesterase, structurally different organophosphorus compounds and oximes. , 2004, Biochemical pharmacology.

[57]  N. Munro Toxicity of the Organophosphate Chemical Warfare Agents GA, GB, and VX: Implications for Public Protection. , 1994, Environmental health perspectives.

[58]  G. Cruciani,et al.  Generating Optimal Linear PLS Estimations (GOLPE): An Advanced Chemometric Tool for Handling 3D‐QSAR Problems , 1993 .

[59]  G. Cruciani,et al.  Predictive ability of regression models. Part II: Selection of the best predictive PLS model , 1992 .

[60]  Paolo Tosco,et al.  Open3DQSAR: a new open-source software aimed at high-throughput chemometric analysis of molecular interaction fields , 2011, Journal of molecular modeling.

[61]  J. S. Hunter,et al.  The 2 k — p Fractional Factorial Designs , 1961 .

[62]  D. M. Maxwell,et al.  A common mechanism for resistance to oxime reactivation of acetylcholinesterase inhibited by organophosphorus compounds. , 2013, Chemico-biological interactions.

[63]  F. Worek,et al.  Kinetic analysis of interactions of different sarin and tabun analogues with human acetylcholinesterase and oximes: is there a structure-activity relationship? , 2010, Chemico-biological interactions.

[64]  P. Renard,et al.  Reactivators of acetylcholinesterase inhibited by organophosphorus nerve agents. , 2012, Accounts of chemical research.

[65]  Lorenzo Maggi,et al.  Treatment of Myasthenia Gravis , 2011, Clinical drug investigation.

[66]  Kunal Roy,et al.  Advances in quantitative structure–activity relationship models of anti-Alzheimer’s agents , 2014, Expert opinion on drug discovery.

[67]  F. Windmeijer,et al.  An R-squared measure of goodness of fit for some common nonlinear regression models , 1997 .

[68]  D. Noort,et al.  Peripheral site ligand conjugation to a non-quaternary oxime enhances reactivation of nerve agent-inhibited human acetylcholinesterase. , 2011, Toxicology letters.