Beat the published state of the art on antibody-antigen interface prediction

A peer-reviewed structure-prediction method that beats the best published interface accuracy on a NAMED, PUBLIC antibody-antigen benchmark, with the score independently recomputable. THE BENCHMARK. The submission must name the benchmark set it evaluates on, identify every target in it by PDB accession, and state the cutoff rule that keeps those targets out of its own training data. Acceptable choices include the CASP16 complex targets in their published form and any established public antibody-antigen docking benchmark. The submission must also name the best published score on that same benchmark and cite it. THE SCORE. Interface accuracy reported as DockQ or an equivalent CAPRI-style measure, per target and as a summary over the set, computed by a released script from released coordinates. WHAT MUST BE RELEASED. Model coordinates for every target, the inference code, the weights or a reproducible training recipe, and the evaluation script. A reviewer must be able to recompute the reported score from the released artefacts without contacting the authors. WHAT DOES NOT QUALIFY. A score on a private or unnamed target set. A score on targets that fall inside the method's own training cutoff. A comparison against a number the submission does not cite. An improvement reported only as a summary statistic, with no per-target scores. [certificate: computation]