Cresset’s New Activity Miner for Lead Optimization Highlights and Explains Key Activity Insights

2 Oct 2013
Sarah Thomas
Associate Editor

Product news

Cresset announces the release of the Activity Miner module for Torch and Forge. Activity Miner is a new intuitive SAR interpretation tool that identifies the key 3D structural and electrostatic changes impacting biological activity.

Activity Miner employs new science to calculate and compare the structural and activity differences between each pair of molecules in a dataset. The intuitive visualization tools make it easy to understand why a specific change resulted in improved activity, and also to understand those cases where an apparently large change in chemistry results in a very small change in activity.

“The optimization path of a compound through a design cycle is usually stepwise. Small structural changes usually result in small activity changes. The exceptions, when a small change of structure or electrostatics results in a large change in activity, are known as activity cliffs,” explains Dr Robert Scoffin, CEO of Cresset.

“Not only does Activity Miner locate these activity cliffs, it also helps researchers understand their causes. Previous approaches such as matched molecular pairs (MMP) analysis have relied solely upon 2D structural differences. Although this can explain many situations, it will miss others. Activity Miner uses 3D shape and electrostatic information, as well as 2D structural information, so researchers can get to the root causes of activity changes.”

Activity Miner is available as a module in Cresset’s Torch and Forge software suites.

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Chem / BioinformaticsCheminformatics and bioinformatics are computational techniques used in chemistry and biology, respectively, for data acquisition, processing and storage. Cheminformatics focuses on compound information, whereas bioinformatics is mainly applied to analysis and modeling of genomics, genetic and sequencing information. Hardware and software is available for data acquisition, analysis, management and storage.Molecular Recognition SoftwareMolecular recognition software is widely used to analyze DNA, RNA, proteins and chemicals. The software can be useful for graphical viewing, comparative analyses, high-throughput screening, genomics, proteomics and phylogenetics. Molecular recognition software uses bioinformatics tools and analyses such as BLAST searches and generates structural predictions, 3D structures and sequencing information.Software PlatformsSoftware platforms are useful for various stages of laboratory experiments from data collection to data storage and processing. For instance lab software is available for system control, data management, data analysis and qualification / validation.Structural Biology
Cresset’s New Activity Miner for Lead Optimization Highlights and Explains Key Activity Insights