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J. Kirchmair

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#artificial intelligence Preprint Sep 2026

NEAT-POCKET: Pocket-Conditioned Autoregressive 3D Molecular Generation with a Neighborhood-Guided Set Transformer

NEAT-POCKET is presented, a pocket-conditioned extension of the autoregressive NEAT model for 3D molecular generation that generates molecules atom by atom in protein pocket environments while preserving atom permutation invariance and explicitly modeling hydrogen atoms.

R. Jacob, Daniel Rose, Thierry Langer et al. · 0 citations
Open access Aug 2026

Enhanced Line Search Improves Robustness and Efficiency of Pose Sampling in Protein–Ligand Docking

An enhanced local optimization strategy based on curved line search (CLS) is introduced and integrated into AutoDock Vina, resulting in Vina_CLS, demonstrating that improved local optimization can substantially enhance docking performance.

Leo Gaskin, Matthias Welsch, J. Kirchmair et al. · 0 citations

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