StarDrop

StarDrop is a comprehensive software solution trusted by medicinal chemists for molecular design, optimization, and data analysis, facilitating a faster transition from hit to candidate in drug discovery. It integrates real-time collaboration throughout the molecular design workflow, enabling teams to make informed decisions and progress efficiently.

The software offers flexible and intuitive visualizations to enhance understanding of structure-activity relationships, allowing users to extract deeper insights from their data. This capability helps prioritize compounds with higher success potential, directing synthesis efforts effectively and achieving goals with fewer resources.

StarDrop is widely used by thousands of medicinal chemists in global drug discovery companies, including half of the top biopharma firms, to accelerate the hit-to-candidate process.

Key Features

• Real-time collaboration: Facilitates effective team coordination and idea tracking with clarity.
• Easy SAR analysis: Instantly explore and understand structure-activity relationships in chemical series.
• Clear data visualization: Create interactive charts and graphs to comprehend data better.
• Multi-parameter optimization: Identify compounds with optimal activity, ADME, and physicochemical properties.
• Intuitive Card View®: Visualize relationships within compounds and chemical series uniquely.
• Dynamic Glowing Molecule™: Provides instant visual feedback on optimization strategies.
• Seamless AI insights: Utilize Cerella AI platform capabilities for transformative insights.
• Customization and integration: Offers extensive options for workflow customization, including plug-in modules for in silico modeling, generative chemistry, and 3D design, as well as database integration.

StarDrop's speed and performance allow users to handle thousands of compounds efficiently, significantly reducing the time and effort required for tasks such as R-group analysis.

Modules

• ADME QSAR: Provides high-quality predictive models for key ADME and physicochemical properties.
• Metabolism: Identifies metabolic pathways and potential metabolites to guide compound design.
• Derek Nexus: Predicts over 40 key toxicity endpoints to aid in designing safe drugs.
• Auto-Modeller: Builds and validates robust QSAR models tailored to specific chemistry and data.
• Nova: Generates and prioritizes new compound ideas using virtual library enumeration.
• BIOSTER: Extends Nova's capabilities with extensive structure modifications and replacement techniques.
• Inspyra: Combines expert chemistry knowledge with generative methods for optimal compound identification.
• eSim3D: Facilitates 3D ligand-based design to understand binding conformations.
• SeeSAR: Supports 3D structure-based design to visualize ligand and protein interactions.
• MPO Explorer: Develops multi-parameter optimization strategies using advanced methods.