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Saturday, December 20, 2014
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A Simple, Robust Automated Multiplexed Cell-Based Assay Process for the Assessment of Mitochondrial Dysfunction and Cytotoxicity
Brad Larson, Peter Banks, Tracy Worzella, Andrew Niles and Timothy Moeller

Recent studies have shown that an increasing number of drugs no longer on the market have negative effects on mitochondrial function in key organs such as the liver and heart. Therefore it is increasingly important to monitor the effects of lead compounds on mitochondrial function in relevant cell systems. The ability to incorporate a simple, rapid, multiplexed, predictive assay can make the detection of potential toxic effects easier to perform early on in the drug discovery process.

An Automated, Cell-based Platform for the Rapid Detection of Novel Androgen Receptor Modulators
Brad Larson, Bruce Sherf (INDIGO Biosciences), and Peter Banks

The Androgen Receptor (AR) is a member of the family of nuclear receptors responsive to steroid hormones. This poster aims to devise, validate and perform a preliminary automated HTS screening campaign to identify novel modulators of AR activity.

Validation of an Automated Cell-Based Bioluminescent TNFa Blocker Bioassay
Brad Larson, Tracy Worzella, Rich Moravec, Neal Cosby, Frank Fan, Teresa Surowy and Peter Banks

TNFa blocker biopharmaceuticals represent an important and successful class of protein drugs used in the treatment of several autoimmune diseases. Bioassays are indispensible tools in biopharmaceutical drug development and commercialization that are used to quantify biological activity and stability of drugs or drug candidates. The automation of these assays can serve to create an accurate, robust process which can allow the researcher to perform other more important functions.

Automation of a Generic Fluorescence Methyltransferase Activity Assay
X. Amouretti, P. Brescia, P. Banks, G. Prescott, Meera Kumar

Epigenetic processes are attracting considerable attention in drug discovery as their fundamental roles in controlling normal cell development and contributions to disease states become more clearly defined. This work combines a fluorescence-based assay with liquid handling and dispensing instrumentation and a multi-mode reader which can be used to monitor the biological activity of the histone methyltransferase (HMT) G9a, a model system.

Modeling Disposition of Sotalol following Intravenous and Oral Administration in Healthy Adult Subjects
S. Ray Chaudhuri, V. Lukacova and W. S. Woltosz

Sotalol is a non specific adrenergic beta-antagonist that is used in the treatment of life-threatening arrhythmia. Its absorption, distribution and systemic PK or, collectively, ‘disposition’ was modeled and simulated using GastroPlus™ v7.0. Biopharmaceutical properties were obtained from in silico predictions and in vitro measurements.

Predicting hERG Potassium Channel Affinity with Artificial Neural Network Ensembles
Adam C. Lee, GrazynaFraczkiewicz, Robert Fraczkiewicz, Robert D. Clark and Walter S. Woltosz

Modeling hERG inhibition has gained significant popularity since 2005, when the FDA recognized the correlation between hERG inhibition and a prolonged QT interval by issuing guidance for the evaluation of new non-antiarrythmic drugs against the hERG channel.Long QT syndrome or LQTS is a risk factor for ventricular tachyarrhythmias and sudden death.

Predicting Sites of Metabolism with Artificial Neural Network Ensembles
Marvin Waldman, Robert Fraczkiewicz, JinhuaZhang, Robert D. Clark and Walter S. Woltosz

Hepatic first-pass metabolism of many drugs and pro drugs plays a key role in their oral bioavailability. The human cytochrome P450 enzymes are responsible for the metabolism of most drugs. Knowledge of likely sites of metabolic attack in a drug molecule can aid in designing out unwanted metabolic liabilities early on in the drug discovery process, as well as in the design of pro drugs where metabolic transformation is desired.

GALAS Modeling Methodology Applications In The Prediction Of Drug Metabolism Related Properties
Remigijus Didziapetris, Justas Dapkunas, Andrius Sazonovas and Pranas Japertas

Analytical identification of metabolites for a drug candidate is usually a time consuming and low-throughput task and is performed only at the later phases of drug development. Therefore the possibility to predict possible sites of human liver microsomal (HLM) metabolism using in silico techniques would be a very attractive feature for any medicinal chemist.

Effective Use of In-Silico Tools in Lead Optimization
Pranas Japertas, Andrius Sazonovas and Kiril Lanevskij

Of all the challenges facing medicinal chemists in general, one of the most significant must be transforming an active molecule into a viable drug. Lead optimization efforts are guided by a combination of factors, such as potency, ease of synthesis, patentability concerns, specific synthetic constrains of the interaction with the target, as well as the lead’s toxicity and ADME properties.

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Showing Results 51 - 60 of 165
Scientific News
Novel Agent Decreases Neuropathic Pain in Patients with Type 2 Diabetes
Promising profile of disease modification and pain reduction leads to proof of concept trials.
Barrier-Breaking Drug May Lead to Spinal Cord Injury Treatments
NIH-funded scientists take first step towards developing promising new drug.
Two Drugs are No More Effective Than One to Treat Common Kidney Disease
NIH study finds limited kidney benefit from more rigorous blood pressure treatment.
Antibiotic Resistance Threatens Future of Modern Medicine
Overuse and misuse of antibiotics, one of the key contributors to antimicrobial resistance (AMR).
Computer Model Sets New Precedent in Drug Discovery
New computational model can precisely simulate, predict therapeutic protein behaviors to help zero in on ideal drug design candidates.
New Drug for Common Liver Disease Improves Liver Health
An experimental drug aimed at treating a common liver disease showed promising results and potential problems in a multicenter clinical trial funded by the NIH.
'Rewriting' the Way to Make Natural Drug Compounds
Using an organism's own pathway to synthesize potential therapeutics.
MS Drug Candidate Shows Promise for Ulcerative Colitis
Positive new clinical data were released today on a drug candidate for ulcerative colitis that was first discovered and synthesized at The Scripps Research Institute.
New Technique has Profound Implications for Drug Development
The method, developed by Scripps Research Institute chemists, expands options for making pure batches of ‘one-handed’ molecules.
Team Discovers How Microbes Build a Powerful Antibiotic
Researchers discovery opens up new avenues of research into thousands of similar molecules.
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