AI models generate responses and outputs based on complex algorithms and machine learning techniques, and those responses or outputs may be inaccurate, harmful, biased or indecent. By testing this model, you assume the risk of any harm caused by any response or output of the model. Please do not upload any confidential information or personal data unless expressly permitted. Your use is logged for security purposes.

Input

AlphaFold2 InputsChoose an example to get started.

Cached AlphaFold2 folded proteins

Choose which cached model you want to use for this blueprint

Amino Acid Sequence*

For interactivity, the sequence of the target protein cannot be edited, but stay tuned

RFDiffusion InputsComplete this form to generate a Protein file that will be used in ProteinMPNN in this Blueprint.

Target Protein

Contigs*

Hotspot Residues

Diffusion Steps

ProteinMPNN InputsChoose how the protein target will be sent to ProteinMPNN.

Target Protein

Model

Sampling Temperature

0.01

0.11

0.21

0.31

0.41

0.51

0.61

0.71

0.81

0.91

Output

Click Design ProteinAdjust the settings and click Design Protein to see your outcome here.

nvidia

Build A Generative Protein Binder Design Pipeline

This blueprint shows how generative AI and accelerated NIM microservices can design protein binders smarter and faster.

rfdiffusion•proteinmpnn•alphafold2•alphafold2-multimer

biology blueprint healthcare molecular docking molecular generation nvidia bionemo