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Latest Articles

Overcoming psychological barriers to good decision-making in drug discovery

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Matt gave this presentation at the Keystone Symposium, Addressing the Challenges of Drug Discovery 2011.

Abstract

Better individual and team decision-making could enhance drug discovery performance. Reproducible biases effecting human decision making, known as cognitive biases, have been understood by psychologists for at least half a century. These threaten objectivity and balance and so are credible causes for continuing unpleasant surprises in late development and high operating costs of compound discovery. We will consider the risks to R&D decision-making for four of the most common and insidious cognitive biases: confirmation bias, poor calibration, availability bias and an excess focus on certainty. We will suggest approaches for overcoming these, such as strategies adapted from evidence-based medicine and computational tools that seek to guide the decision making process. These include methods for multi-parameter optimisation that encourage objective consideration of all of the available information and explicit consideration of the impact of uncertainty in drug discovery.

Last Updated on Sunday, 25 March 2012 05:20 Read more...
 

Preprint: Multi-Parameter Optimisation Review Article

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We've just submitted this review article, "Multi-Parameter Optimization: Identifying high quality compounds with a balance of properties" to a special issue of Current Pharmaceutical Design. In it, we survey the range of methods used for MPO in drug discovery, compare their strengths and weaknesses and present some example applications.

Last Updated on Tuesday, 06 September 2011 10:23 Read more...
 

Latest Forums

StarDrop Reviewed on Macs in Chemistry Website

Chris Swain has written a review of StarDrop on his excellent Macs in Chemistry website. You can read it in full at http://macinchem.org/reviews/stardrop/stardrop_review.php Following the release of StarDrop for the Mac in December, it's been great to see a rapid take-up.

Category: Optibrium News & Announcements
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StarDrop Toxicity Models

We've built and validated QSAR models of seven key toxicity endpoints, based on data made available by the US Environmental Protection Agency as part of its Toxicity Evaluation Software Tool (T.E.S.T.) package. The models were built with StarDrop’s Auto-Modeller module and are available to all StarDrop users free-of-charge.

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