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A complete platform for successfully leading drug discovery: 'StarDrop'

Achieving improvements in the speed, efficiency, and productivity of the drug discovery process! We quickly provide optimally balanced compounds.

By quickly extracting diverse and excellent compounds, StarDrop operates while evaluating complex data, dramatically reducing the time required for effective lead compound exploration. In evaluating this data, it provides confidence and intuitive clarity for decision-making, guiding and validating the direction of research and which compounds to prioritize. This interactive tool enables you to efficiently open pathways to enhance your chosen chemical properties. 〇 Advantages of StarDrop - Development of more effective drugs By highlighting excellent chemical properties, it leads you to target areas with the greatest potential for multifaceted optimization and success in your research. - Confident decision-making It assists in managing uncertain data specific to drug discovery that arises from experimental variability and predictive errors. - Speeding up compound selection It significantly reduces the time needed to navigate the maze of possibilities and identify excellent lead compounds and candidate drugs. - More results from your research It helps you get the best from all your resources, delivering true value.

Related Link - https://www.hulinks.co.jp/software/chem/stardrop

basic information

- Basic Functions SAR analysis, data visualization, probabilistic scoring, intuitive Card View (visualization of relationships within compounds and chemical series), Glowing Molecule (visualization of the relationship between structure and properties) - ADME QSAR Prediction of important properties before synthesis - Metabolism Determination of metabolic pathways, sites, products, and stability - Derek Nexus Knowledge-based toxicity prediction - Auto-Modeller Data analysis and generation of predictive models - Nova/BIOSTER Discovery of next-generation compounds with potential / structure transformation library - Inspyra Dynamic learning to generate improved compounds - eSim3D 3D ligand-based virtual screening - SeeSAR Understanding docking states to target proteins in three dimensions - MPO Explorer Development of Multi-Parameter Optimization methods

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Applications/Examples of results

- Improvement of anti-inflammatory agents using StarDrop's predictive models - Supporting Canadian chemistry pioneers with fast SAR analysis

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