Search Results - "EKINS, S"
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In silico pharmacology for drug discovery: methods for virtual ligand screening and profiling
Published in British journal of pharmacology (01-09-2007)“…Pharmacology over the past 100 years has had a rich tradition of scientists with the ability to form qualitative or semi‐quantitative relations between…”
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Journal Article -
2
In silico pharmacology for drug discovery: applications to targets and beyond
Published in British journal of pharmacology (01-09-2007)“…Computational (in silico) methods have been developed and widely applied to pharmacology hypothesis development and testing. These in silico methods include…”
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3
Predicting undesirable drug interactions with promiscuous proteins in silico
Published in Drug Discovery Today (15-03-2004)“…Although computational tools have been used to predict toxic responses resulting from molecules binding either as substrates or inhibitors to proteins, there…”
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Book Review Journal Article -
4
In silico approaches to predicting drug metabolism, toxicology and beyond
Published in Biochemical Society transactions (01-06-2003)“…The discovery and optimization of new drug candidates is becoming increasingly reliant upon the combination of experimental and computational approaches…”
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Cross-reactivity studies and predictive modeling of "Bath Salts" and other amphetamine-type stimulants with amphetamine screening immunoassays
Published in Clinical toxicology (Philadelphia, Pa.) (01-02-2013)“…Introduction. The increasing abuse of amphetamine-like compounds presents a challenge for clinicians and clinical laboratories. Although these compounds may be…”
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Three-dimensional quantitative structure-activity relationship for inhibition of human ether-a-go-go-related gene potassium channel
Published in The Journal of pharmacology and experimental therapeutics (01-05-2002)“…The protein product of the human ether-a-go-go gene (hERG) is a potassium channel that when inhibited by some drugs may lead to cardiac arrhythmia. Previously,…”
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7
Computational Modeling to Accelerate the Identification of Substrates and Inhibitors for Transporters That Affect Drug Disposition
Published in Clinical pharmacology and therapeutics (01-11-2012)“…We have seen an increased use of computational approaches to predicting drug interactions with human transporters that affect drug disposition and may lead to…”
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8
A Pharmacophore for Human Pregnane X Receptor Ligands
Published in Drug metabolism and disposition (01-01-2002)“…The pregnane X receptor (PXR) is involved in transcriptional regulation of multiple cytochromes P450 and multidrug resistance-associated protein (MDR1), which…”
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Future directions for drug transporter modelling
Published in Xenobiotica (01-10-2007)“…Since the late 1980s computational methods such as quantitative structure-activity relationship (QSAR) and pharmacophore approaches have become more widely…”
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Algorithms for network analysis in systems-ADME/Tox using the MetaCore and MetaDrug platforms
Published in Xenobiotica (01-10-2006)“…The authors have previously applied two integrated platforms, MetaCore™ and MetaDrug™, for the assembly and analysis of human biological networks as a useful…”
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A prospective questionnaire assessment of attitudes and experiences of off label prescribing among hospital based paediatricians
Published in Archives of disease in childhood (01-07-2006)“…Objective: To assess current attitudes of hospital based paediatricians to off label prescribing, and the performance of clinical trials in children. Design: A…”
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THE ROLE OF CYP2B6 IN HUMAN XENOBIOTIC METABOLISM
Published in Drug metabolism reviews (01-01-1999)Get full text
Journal Article Conference Proceeding -
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PXR and the regulation of apoA1 and HDL-cholesterol in rodents
Published in Pharmacological research (01-09-2004)“…Orphan nuclear receptors (ONRs) have been implicated in the regulation of lipids. Several clinical studies conducted either prospectively or epidemiologically…”
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14
Three-dimensional-quantitative structure activity relationship analysis of cytochrome P-450 3A4 substrates
Published in The Journal of pharmacology and experimental therapeutics (01-10-1999)“…To gain a better understanding of the active site of cytochrome P-450 (CYP) 3A4, a three-dimensional-quantitative structure activity relationship model was…”
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15
Three-dimensional quantitative structure activity relationship computational approaches for prediction of human in vitro intrinsic clearance
Published in The Journal of pharmacology and experimental therapeutics (01-11-2000)“…Future alternatives to the presently accepted in vitro paradigm of prediction of intrinsic clearance, which could be used earlier in the drug discovery…”
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Three- and Four-Dimensional-Quantitative Structure Activity Relationship (3D/4D-QSAR) Analyses of CYP2C9 Inhibitors
Published in Drug metabolism and disposition (01-08-2000)“…The interaction of competitive type inhibitors with the active site of cytochrome P450 (CYP) 2C9 has been predicted using three- and four-dimensional…”
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Improving the drug selection and development process for combination devices
Published in Drug discovery today (01-10-2007)“…Combination devices are at the interface of both pharmaceutical and medical device research. While there have been several notable successes in bringing…”
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Treatment Patterns and Asthma Control Among US Allergy and Pulmonary Community Practices: Results of the CHARIOT Study
Published in Journal of allergy and clinical immunology (01-02-2008)“…A high proportion of these patients have atopic characteristics. [...]the role of allergies should be assessed and alternative treatment options, as stated in…”
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Short-term maintenance of phase I and II metabolism in precision-cut liver slices in dynamic organ culture
Published in Drug metabolism and disposition (01-03-1996)“…Testosterone and 7-ethoxycoumarin were used as substrates to quantify the maintenance of phase I and II enzymes in precision-cut rat liver slices in dynamic…”
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Autoactivation and activation of the cytochrome P450s
Published in International journal of clinical pharmacology and therapeutics (01-12-1998)“…In order to reliably predict in vivo pharmacokinetic parameters from in vitro data, we must thoroughly understand the systems we currently use to determine…”
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