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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 61 - 70 of 175
Scientific News
Garlic Could Aid Cystic Fibrosis Fight
A chemical in garlic kills bacteria that cause deadly infections in people with cystic fibrosis, University of Edinburgh research shows.
UGA Researchers Discover Potential Treatment for Drug-resistant Tuberculosis
Researchers have developed a new small molecule drug as a treatment against multi-drug resistant tuberculosis.
A Protein's Novel Role In Several Types Of Cancers Discovered
Stanford ChEM-H scientists are helping to develop a novel cancer therapy based on a new finding of a protein that inadvertently promotes cancer growth.
Cancer Treatment with KU Origins Enters Second Clinical Trial
Cleave Biosciences has begun a Phase 1 clinical trial to evaluate CB-5083.
Grant will Help Develop More Powerful Disinfectants
$200,000 grant awarded to develop the next generation of antibacterial cleansers and disinfectants.
Artificially-intelligent Robot Scientist ‘Eve’ Could Boost Search for New Drugs
Eve, an artificially-intelligent ‘robot scientist’ could make drug discovery faster and much cheaper, say researchers writing in the Royal Society journal Interface.
Novogen Announces Important Discovery in Regenerative Medicine Program
A key proof-of-concept step to develop drugs capable of stimulating the function of brain tissue stem cells.
Stanford Chemists Take Step Toward Solving Mystery of How Enzymes Work
Steven Boxer and his students have found that the electrostatic field within an enzyme accounts for the lion's share of its success.
New Class of Synthetic Molecules Mimics Antibodies
A Yale University lab has crafted the first synthetic molecules that have both the targeting and response functions of antibodies.
The Hunt for Botanicals
Herbal medicine can be a double-edged sword and should be more rigorously investigated for both its beneficial and harmful effects, say researchers writing in a special supplement of Science.
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