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: wild-quail-moss

Nipah Virus Glycoprotein G
0.82
85.83
--
12.9 kDa
109
id: quick-panda-opal

Nipah Virus Glycoprotein G
0.82
87.44
--
14.1 kDa
119
id: small-wolf-pine

Nipah Virus Glycoprotein G
0.81
83.26
--
12.2 kDa
101
id: young-crane-granite

Nipah Virus Glycoprotein G
0.80
89.24
--
9.7 kDa
81
id: jade-lynx-jade

Nipah Virus Glycoprotein G
0.79
84.17
--
13.6 kDa
115
id: brisk-mole-granite

Nipah Virus Glycoprotein G
0.78
89.24
--
11.9 kDa
100
id: violet-lion-iron

Nipah Virus Glycoprotein G
0.78
80.63
--
11.3 kDa
94
id: pale-cobra-ruby

Nipah Virus Glycoprotein G
0.77
89.24
--
9.6 kDa
80