Multi-stage Riemannian flow matching for physically valid molecular docking, with GNINA scoring, PoseBusters filtering, CLI inference, and benchmarks.
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Updated
Apr 29, 2026 - Python
Multi-stage Riemannian flow matching for physically valid molecular docking, with GNINA scoring, PoseBusters filtering, CLI inference, and benchmarks.
Unofficial MCP server for PoseBusters – validate molecular poses via HTTP or Spaces using the Model Context Protocol (MCP).
High-throughput docking pose validation: symmetry-corrected RMSD and lightweight PoseBusters-style distance/clash filters.
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