We've updated our Privacy Policy to make it clearer how we use your personal data.

We use cookies to provide you with a better experience. You can read our Cookie Policy here.


Optibrium Expands StarDrop Availability with Apple Mac Compatibility

Want a FREE PDF version of This Product News?

Complete the form below and we will email you a PDF version of "Optibrium Expands StarDrop Availability with Apple Mac Compatibility"

Technology Networks Ltd. needs the contact information you provide to us to contact you about our products and services. You may unsubscribe from these communications at any time. For information on how to unsubscribe, as well as our privacy practices and commitment to protecting your privacy, check out our Privacy Policy

Optibrium has launched StarDrop 5.1, an upgraded version of its innovative support tool which helps drug discovery scientists to guide key decisions in drug discovery and quickly achieve successful project outcomes.

As a result of this upgrade, StarDrop’s unique capabilities to guide the design and selection of high quality, novel compounds are now available on the Apple Mac, a reflection of the increasing popularity of Macs within the industry.

The revolutionary StarDrop 5.1 is a powerful yet user friendly software package which combines predictive capabilities with intuitive approaches to quickly and confidently target compounds with a good balance of properties, thereby reducing wasted effort and speeding progress to identify effective lead and candidate drugs.

StarDrop’s unique approach to ‘multi-parameter optimization’ explicitly accounts for the uncertainty in drug discovery data, whether due to experimental variability or predictive error, to provide scientists with a rigorous, objective analysis on which to make rational decisions.

As well as compatibility with the Apple Mac, StarDrop 5.1 brings a number of significant enhancements to existing features of StarDrop.

For example, there is a new method for creating ‘chemical space’ visualizations based on the latest machine learning algorithm for ‘visual clustering’, that helps to easily explore the diversity of a project’s chemistry and identify ‘hot spots’ of high quality chemistry for further investigation.

There are also improvements to StarDrop’s plug-in modules: The Auto-Modeller™ sees the addition of the ‘Random Forests’ technique to its extensive repertoire for building predictive models tailored to a project’s chemistry and data.

The addition of this new method has also led to improved QSAR models in the ADME QSAR module, which provides predictions of key ADME properties.

StarDrop’s P450 metabolism module has been upgraded to provide improved prediction of regioselectivity and lability of metabolism by Cytochrome P450 enzymes, specifically around N-oxidation pathways.

Finally, in response to user feedback on the new Nova™ module, further advances allow the generation of novel, relevant compounds ideas, prioritized against a project’s required property profile, starting from multiple initial structures and filtered according to user-specified rules to avoid unwanted substructures.

Dr. Matthew Segall, CEO of Optibrium, explains “These latest developments within StarDrop 5.1 demonstrate Optibrium’s commitment to deliver leading-edge technology while simultaneously responding to user feedback in order to ensure that it is accessible in the most user-friendly way. We work with drug discovery scientists, project leaders and R&D directors to provide tools that support confident decision-making to focus resources and improve efficiency.”