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Thank you for sharing this amazing work and a few examples!
I just wanted to ask how could we know which pose is ranked as the best. I tested your model by running src/db5_inference.sh and I found 40 poses generated in the visualization path, but I was not sure which one is the best pose. By the way, does the numbering of 0-40 refer to the diffusion time? Many thanks!
The text was updated successfully, but these errors were encountered:
Hi, @Chengeng-Yang
Based on my experience, the larger the suffix numeral in generated filenames of protein, the better the effect, which may be opposite to the "t" value in diffusion process.
Thank you for sharing this amazing work and a few examples!
I just wanted to ask how could we know which pose is ranked as the best. I tested your model by running src/db5_inference.sh and I found 40 poses generated in the visualization path, but I was not sure which one is the best pose. By the way, does the numbering of 0-40 refer to the diffusion time? Many thanks!
The text was updated successfully, but these errors were encountered: