🔥 PyTorch implementation of GNINA scoring function for molecular docking
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Updated
Apr 21, 2026 - Python
🔥 PyTorch implementation of GNINA scoring function for molecular docking
Multi-stage Riemannian flow matching for physically valid molecular docking, with GNINA scoring, PoseBusters filtering, CLI inference, and benchmarks.
Stage-based evaluation pipeline for generative molecular design: filters, retrosynthesis checks, docking, pose validation, reports, CLI/TUI.
🤗 Hugging Face space for gnina-torch 🔥
Multi-signal computational pipeline for TBXT G177D (Brachyury), chordoma's master regulator. TBXT Hackathon 2026.
Machine-learning framework for binding pose identification on human serum albumin using docking and MD-derived features
Open-source CLI-shaped web platform for protein-ligand docking on serverless GPUs (CASP-aware)
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