Article

ARID-sf: A physics-informed Deep Learning scoring function to improve Antibody-Antigen docking model ranking

2026-01-22

Abstract excerpt

Accurate prediction of antibody-antigen (Ab-Ag) complexation is crucial for understanding immune responses, diagnostics, and the development of therapeutic antibodies. While molecular docking generates conformations, current scoring functions struggle to identify nearnative poses, particularly for Ab-Ag interactions. We present ARID-sf ( A ntibody-antigen R esidue I nterface D ocking s coring f unction), whi...

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Literature Corpus work: 615b8985-02fa-55ee-aa89-4d38ee12d7bc
DOI: 10.64898/2026.01.20.700530

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