Facilitating structure-based drug discovery with an artificial intelligence-driven virtual screening platform.

CVSP-AIE, an AI-driven structure-based virtual screening platform, hierarchically screens 100,000 compounds in 30–45 minutes while ranking molecules by predicted binding scores.

• Why it matters: Choosing among fast AI docking and accurate scoring methods for a specific drug-discovery task, and running them efficiently, remains difficult despite promising retrospective benchmarks.
• What they did: The platform combines KarmaDock, CarsiDock, and RTMScore in a hierarchical workflow: protein repair and molecule standardization, then pose and affinity prediction, followed by interaction analysis and visualization.
• The result: It outputs a ranked molecule list with predicted binding scores, interaction profiles, and chemical-space analysis, and supports both an online server and local command-line screening at arbitrary scale.

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