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Hi, I setup Openfold3 on a set of ~80 Ab-Ag complexes and am seeing worse performance than I think is anticipated (mean DockQ for AF2.3 = 0.301, mean DockQ for Openfold3 = 0.21, DockQ's based on the highest confidence structure determined by ipTM score).
I'm currently running on the docker image jnwei/openfold3:v4 with inference_ckpt of of3_ft3_v1-001.pt. I'm using the msa_server to generate MSAs and templates. Finally, I randomly picked 100 seeds for each structure, predicting 5 structures per seed (500 total).
I know there is work in-line for improving the confidence head, but wanted to double check on any suggestions for the current system (i.e. recycling times, etc).
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