The designs are generated using de novo protein structure diffusion model that will be released soon. It extends Genie2 with atomized inputs, improved sampling, and optimized conditioning strategies. The model is trained on large-scale structure and interaction datasets with training tasks focused on binder design. Designs are filtered with more robust in-silico evaluation pipeline.
id: young-crane-granite

Nipah Virus Glycoprotein G
Medium
9.1e-8 M
True
--
81
id: violet-lion-iron

Nipah Virus Glycoprotein G
None
80.56
True
11.3 kDa
94
id: small-wolf-pine

Nipah Virus Glycoprotein G
None
81.70
True
12.2 kDa
101
id: wild-quail-moss

Nipah Virus Glycoprotein G
None
85.83
True
12.9 kDa
109
id: jade-lynx-jade

Nipah Virus Glycoprotein G
None
84.09
True
13.6 kDa
115
id: quick-panda-opal

Nipah Virus Glycoprotein G
None
87.44
True
14.1 kDa
119
id: pale-cobra-ruby

Nipah Virus Glycoprotein G
None
83.70
True
9.6 kDa
80
id: brisk-mole-granite

Nipah Virus Glycoprotein G
None
--
True
--
100