Elizabeth R. Collantes

Learn More
This report describes a new set of amino acid side chain descriptors, the isotropic surface area (ISA), and the electronic charge index (ECI) relevant to peptide quantitative structure--activity relationship (QSAR) studies. These features are derived from optimized three-dimensional structures of the natural and unnatural amino acids. Since the descriptors(More)
The recognition of adverse effects due to environmental endocrine disruptors in humans and wildlife has focused attention on the need for predictive tools to select the most likely estrogenic chemicals from a very large number of chemicals for subsequent screening and/or testing for potential environmental toxicity. A three-dimensional quantitative(More)
A series of 1-benzyl-4-[2-(N-benzoylamino)ethyl]piperidine derivatives and of N-benzylpiperidine benzisoxazoles has been investigated using the comparative molecular field analysis (CoMFA) approach. These compounds have been found to inhibit the metabolic breakdown of the neurotransmitter acetylcholine (ACh) by the enzyme acetylcholinesterase (AChE) and(More)
Constrained molecular dynamics simulations on anandamide, together with a systematic distance comparison search, have revealed a specific low-energy conformer whose spatial disposition of the pharmacophoric elements closely matches that of HHC. This conformer enables near superposition of the following: (1) the oxygen of the carboxyamide and the phenolic(More)
The immediate objective of this research program is to evaluate several computer-based classifiers as potential tools for pharmaceutical fingerprinting based on analysis of HPLC trace organic impurity patterns. In the present study, wavelet packets (WPs) are investigated for use as a preprocessor of the chromatographic data taken from commercial samples of(More)
A quantitative structure-retention relationship (QSRR) was developed from chromatographic data on 31 unsubstituted 3-6 ring polycyclic aromatic hydrocarbons (PAHs) using the 3D-QSAR method known as comparative molecular field analysis (CoMFA). The resulting CoMFA model gave an excellent correlation to high-performance liquid chromatography retention data(More)
The present study investigates an application of artificial neural networks (ANNs) for use in pharmaceutical fingerprinting. Several pruning algorithms were applied to decrease the dimension of the input parameter data set. A localized fingerprint region was identified within the original input parameter space from which a subset of input parameters was(More)
The present study describes the implementation of comparative molecular field analysis (CoMFA) to develop two 3D-QSAR (quantitative structure-activity relationship) models (CoMFA models 1 and 2) of the cannabimimetic (aminoalkyl)indoles (AAIs) for CB1 cannabinoid receptor binding affinity, based on pKi values measured using radioligand binding assays that(More)
The present study was undertaken to evaluate several computer-based classifiers as potential tools for pharmaceutical fingerprinting by utilizing normalized data obtained from HPLC trace organic impurity patterns. To assess the utility of this approach, samples of L-tryptophan (LT) drug substance were analyzed from commercial production lots of six(More)
The 3D-QSAR method of comparative molecular field analysis (CoMFA) was applied to three patent families of chemical hybridization agents (CHAs) in the MON21200 class of chemistry. The models for each CHA family gave good correlations between the variations in log percent male sterility and in the steric-electrostatic properties of the patent set. For all(More)
  • 1