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ResearchFormerly WizWand

De novo peptide sequencing on 9-Species (test)

0.805AA Precision (Mouse)Reflection Pretrain

Evaluation results

Method	Links
Reflection Pretrain2025.12		0.805	0.774	0.826	0.81	0.766	0.831	0.846	0.846	0.753	0.806	0.546	0.582	0.676	0.624	0.565	0.68	0.676	0.696	0.504	0.617
Reflection Pretrain2025.12		0.799	0.763	0.818	0.8	0.755	0.827	0.832	0.836	0.745	0.797	0.54	0.573	0.669	0.615	0.555	0.674	0.667	0.685	0.497	0.608
Reflection Pretrain2025.12		0.792	0.752	0.809	0.79	0.744	0.822	0.817	0.826	0.737	0.788	0.533	0.563	0.661	0.605	0.544	0.668	0.657	0.674	0.49	0.6
HelixNovo2025.12		0.75	0.648	0.758	0.766	0.699	0.757	0.771	0.799	0.661	0.734	—	—	—	—	—	—	—	—	—	—
Casanovo2025.12		0.717	0.649	0.752	0.713	0.706	0.763	0.714	0.753	0.663	0.704	0.443	0.433	0.584	0.522	0.46	0.606	0.652	0.58	0.413	0.521
InstaNovo2025.12		0.703	0.636	0.691	0.712	0.66	0.732	0.711	0.739	0.619	0.689	0.471	0.455	0.559	0.528	0.466	0.732	0.564	0.576	0.416	0.53
PointNovo2025.12		0.626	0.606	0.779	0.712	0.644	0.733	0.73	0.768	0.589	0.688	0.355	0.351	0.534	0.478	0.396	0.513	0.511	0.518	0.298	0.439
DeepNovo2025.12		0.623	0.61	0.75	0.694	0.63	0.731	0.679	0.742	0.602	0.673	0.286	0.293	0.462	0.422	0.33	0.454	0.436	0.449	0.253	0.387
Peaks2025.12		0.6	0.639	0.748	0.673	0.633	0.728	0.644	0.719	0.586	0.663	0.197	0.277	0.428	0.356	0.287	0.403	0.362	0.387	0.203	0.333