IEDB automated benchmark (MHC class I)
The only prospective, third-party benchmark in the field. Its eight-year summary is sobering: leading methods are statistically indistinguishable, and a new method needs about four years before enough data accumulate to judge it.
At a glance
Labels and annotations
Weekly blinded evaluation of registered prediction servers on newly submitted binding and elution data.
Details
Why it matters
- Nearly every other published comparison was run by the authors of one of the compared tools — and the host tool wins every time.
- PPV means at least three different things in this literature (1:99 vs 1:999 decoys, same-protein vs random decoys, top-N vs top-0.1%), so cross-paper tables are not comparable.
Models trained or evaluated on it
- benchmark NetMHCpan-4.1 Health Tech, Technical University of Denmark (Nielsen lab)
- benchmark MHCflurry 2.0 O'Donnell, Rubinsteyn and Laserson (Mount Sinai / OpenVax)
- benchmark MHCnuggets Karchin lab, Johns Hopkins University
Sources
This page is educational — it is not medical advice and does not replace consultation with an oncologist. Diagnostic and treatment decisions are made solely by specialist physicians.