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February 4, 2010

Optibrium Launches StarDrop 4.3 To Enhance Drug Optimisation

Optibrium has launched StarDrop 4.3, an intuitive software that offers advantages over traditional predictive modeling platforms, as it specifically helps users to identify chemistries with a high chance of success and focus expensive in-house resources.

By CBR Staff Writer

The company said that StarDrop 4.3 is the first major update to StarDrop, helping scientists to select high quality drug candidates thereby improving efficiency and productivity.

StarDrop 4.3 is an interactive software platform that helps drug discovery scientists to guide their decisions while designing and prioritising molecules with the aim of achieving an optimal balance of properties. By combining predicted (in silico) properties for molecules with measured in-vitro and in-vivo data, this integrated desktop tool enables scientists to rapidly identify and design high quality molecules to meet their project’s objectives.

The software takes into account the potential errors to provide scientists with a rigorous analysis on which to make rational decisions. StarDrop 4.3 enables confident decisions to be made despite all of this uncertainty, claims the company.

Additional enhancements to StarDrop 4.3 include the ‘Molecule View’ feature, which enables users to drag and drop properties to customize layout for viewing and printing, and scroll through their compounds viewing all properties together. In the Molecule View, StarDrop’s Glowing Molecule visualisation feature highlights regions of candidate molecules which may have the most influence on predicted properties, allowing users to test new ideas interactively with instant feedback. In addition, the toolbar allows users to easily switch between views, facilitating quick access to key features.

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New features in StarDrop 4.3 include more flexible data set views. Direct printing support enables users to print individual molecules with data from both table and molecule views. In addition, the range of Gaussian Process methods in StarDrop’s Auto-Modeller has been extended to provide new techniques for building classification models.

Matthew Segall, CEO of Optibrium, said: Optibrium is dedicated to providing software to guide decisions involving complex, uncertain data in an intuitive way. We work with project leaders and R&D directors to focus their resources, providing confident decision-making to improve efficiency.

StarDrop’s intuitive, easy-to-use software also helps medicinal chemists to identify and design balanced compounds by combining all available data to make decisions. Furthermore, we offer powerful computational tools for computational chemists who can deploy their technology directly to project teams, efficiently integrating computational and experimental resources.

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