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Be Careful What You Ask for: Challenges of Predicting Human Clearance for a Low Metabolic Turnover Compound, ELND006
Kevin Quinn, David Nakamura, Heather Zhang, Shawn Gauby, Colin Lorentzen, Erich Goldbach, Amanda Moore, Salman Khetani, Earvin Liang, John-Michael Sauer and George Tonn,

A study of in vitro clearance of ELND006, a low turn-over compound.

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Global Gene Expression Changes Induced In Primary Human Hepatocytes By Thiazolidinediones Upon Repeat Dosing of HepatoPac™ Cultures
Michael McVay and Salman R. Khetani

An assessment of global gene expression changes in HepatoPac, a micropatterned co-culture of hepatocytes and stromal cells.

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A Long Term Culture Model for Primary Hepatocytes from Cynomolgus Monkeys
Simon Aoyama, Sara Lambirth, Chitra Kanchagar and Salman R. Khetani

The Macaca fascicularis or cynomolgus monkey is a non-human primate often used in pre-clinical animal studies. In this study, we applied microtechnology and tissue engineering techniques to cynomologus monkey hepatocytes in order to determine if these cells could be stabilized in micropatterned co-cultures similar to their human and rat counterparts.

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Live Cell Beating Assay Using Human iPSC-derived Cardiomyocytes for Evaluation of Drug Efficacy and Toxicity
Oksana Sirenko, Carole Crittenden, Blake Anson, Jayne Hesley, Yen-Wen Chen, Nick Callamaras and Evan F. Cromwell

A large percentage of new drugs fail in clinical studies due to cardiac toxicity. Development of highly predictive in vitro assays suitable for screening, safety assessment or other environments is therefore extremely important for drug development. Human cardiomyocytes derived from stem cell sources can greatly accelerate the discovery of cardiac drugs and improve drug safety by offering more clinically relevant cell-based models than those presently available.

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Quantification of cytokines on the SpectraMax® Paradigm® Multi-Mode Microplate Detection Platform using Alpha Technology
Caroline Cardonnel, Cathleen Salomo, Michael Katzlinger, Yvonne Fitzgerald, Cathy Olsen and Harald Hundsberger

Inflammation is accompanied by increased endothelial chemokine production and adhesion molecule expression, which may result in an extensive neutrophil infiltration. As such, the search for novel anti-inflammatory substances able to downregulate these parameters, as well as tissue damage, holds therapeutic promise.

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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.

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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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A Weight-of-Evidence Approach to Prioritisation based on Consensus across Multiple Sources of Information
Roman Affentranger (1), Barry Hardy (1), Glenn Myatt (2), Nina Jeliazkova (3), Matthew Clark (4), Jeffrey Wiseman (4)

We present the results of initial work carried out within the OpenToxLink Virtual Organization, applying a Weight-of-Evidence (WoE) approach based on consensus across multiple sources of information for the prediction of adverse effects of a large set of potential antimalarial compounds. The work was carried out as part of the EU FP7 project SYNERGY, evaluating the support of decision dashboards and event-driven collaborative research of software developed within SYNERGY.

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Three-dimensional quantitative structure-activity relationship analysis and ADME predictions of guanylhydrazone coactivator binding inhibitors of estrogen receptors
Sergey Shityakov, Thomas Dandekar

The estrogen receptors (ER) refer to a group of the nuclear hormone receptor superfamily of ligand-mediated transcriptional factors. Over expression of this type of receptors leads to a breast cancer progression. Hormone-responsive breast cancer develops resistance to conventional anti-cancer therapy, and this becomes a major problem in a breast cancer therapy.

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Scientific News
New Gene Therapy for Vision Loss From a Mitochondrial Disease
NIH-funded study shows success in targeting mitochondrial DNA in mice.
Self-Propelled Powder to Stop Bleeding
UBC researchers have created the first self-propelled particles capable of delivering coagulants against the flow of blood to treat severe bleeding, a potentially huge advancement in trauma care.
Tension Helps Heart Cells Develop Normally in the Lab
Stanford engineers have uncovered the important role tension plays in growing heart cells out of the body.
Controlling Body Temperature in Response to 'Fight or Flight'
New research in The FASEB Journal suggests that blocking TRPV1 protein causes an increased release of noradrenaline, leading to an increase in core body temperatures.
Inroads Against Leukaemia
Potential for halting disease in molecule isolated from sea sponges.
Researchers Disguise Drugs As Platelets to Target Cancer
Researchers have for the first time developed a technique that coats anticancer drugs in membranes made from a patient’s own platelets.
A Fundamental Protection Mechanism Against Formalin In Mammals is Revealed
Formaldehyde, or formalin, is well known to all of us as a common chemical used in many industrial processes and also as a preservative, remarkably we also produce formaldehyde in our bodies.
Drug Used To Treat HIV Linked to Lower Bone Mass in Newborns
NIH study finds mothers’ use of tenofovir tied to lower bone mineral content in babies.
Bone Risks Linked to Genetic Variants
A large-scale genomic study uncovered novel genetic variants and led researchers to an unexpected gene that affects bone density and fracture risk.
Combo of 3 Antibiotics Can Kill Deadly Staph Infections
Three antibiotics that, individually, are not effective against a drug-resistant staph infection can kill the deadly pathogen when combined as a trio, according to new research.

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