Jon G. Wilkes

According to our database1, Jon G. Wilkes authored at least 12 papers between 2000 and 2017.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2017
Development of models for predicting Torsade de Pointes cardiac arrhythmias using perceptron neural networks.
BMC Bioinform., 2017

2016
Alignment-independent technique for 3D QSAR analysis.
J. Comput. Aided Mol. Des., 2016

2013
Complementary PLS and KNN algorithms for improved 3D-QSDAR consensus modeling of AhR binding.
J. Cheminformatics, 2013

2012
Erratum: <sup>13</sup>C NMR - Distance Matrix Descriptors: Optimal Abstract 3D Space Granularity for Predicting Estrogen Binding.
J. Chem. Inf. Model., 2012

<sup>13</sup>C NMR-Distance Matrix Descriptors: Optimal Abstract 3D Space Granularity for Predicting Estrogen Binding.
J. Chem. Inf. Model., 2012

2002
Comparative Structural Connectivity Spectra Analysis (CoSCoSA) Models of Steroid Binding to the Corticosteroid Binding Globulin.
J. Chem. Inf. Comput. Sci., 2002

Combining NMR spectral and structural data to form models of polychlorinated dibenzodioxins, dibenzofurans, and biphenyls binding to the AhR.
J. Comput. Aided Mol. Des., 2002

2001
Models of Polychlorinated Dibenzodioxins, Dibenzofurans, and Biphenyls Binding Affinity to the Aryl Hydrocarbon Receptor Developed Using 13C NMR Data.
J. Chem. Inf. Comput. Sci., 2001

Use of 13C NMR Spectrometric Data To Produce a Predictive Model of Estrogen Receptor Binding Activity.
J. Chem. Inf. Comput. Sci., 2001

13C NMR Quantitative Spectrometric Data-Activity Relationship (QSDAR) Models of Steroids Binding the Aromatase Enzyme.
J. Chem. Inf. Comput. Sci., 2001

Developing 13C NMR quantitative spectrometric data-activity relationship (QSDAR) models of steroid binding to the corticosteroid binding globulin.
J. Comput. Aided Mol. Des., 2001

2000
Producing 13C NMR, Infrared Absorption, and Electron Ionization Mass Spectrometric Data Models of the Monodechlorination of Chlorobenzenes, Chlorophenols, and Chloroanilines.
J. Chem. Inf. Comput. Sci., 2000


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