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Predicting Properties
Molecular properties, whether observable or not, play a key role in the process of the discovery and design of new chemical entities. In addition, the experimental measurement of properties is often time-consuming and cost-intensive or even not possible for virtually generated chemical compounds before they are synthesized in the lab. Therefore, the in silico prediction and estimation of molecular properties has become an important method to eliminate compounds with inappropriate or undesirable features at an early stage in the discovery process.
Prediction of isoform specificity of P450 substrates
isoCYP provides a powerful and fast method to predict the predominant human cytochrome P450 isoform by which a given chemical compound is metabolized in phase I. The underlying model includes the isoform specificities for cytochrome P450 3A4, 2D6 and 2C9 substrates and has been specifically designed for typically drug-like molecules.
 
isoCYP is available as Pipeline Pilot component. Pipeline Pilot is distributed by SciTegic, Inc., San Diego, CA, USA. For more information please visit SciTegic's web site.
Synthetic accessibility
SYLVIA provides a powerful method to rapidly evaluate the synthetic accessibility of chemical compounds and to prioritize thousands of structures according to their synthetic complexity, e.g., those generated by de novo design experiments or stored in large virtual compound libraries. Thus, SYLVIA links the areas of computer-aided molecular design, chemoinformatics and synthetic chemistry.
 
SYLVIA is available as Pipeline Pilot component. Pipeline Pilot is distributed by SciTegic, Inc., San Diego, CA, USA. For more information please visit SciTegic's web site.
 
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