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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
BioNemoBiologyBlueprintProtein GenerationEnterpriseNVIDIA BioNemoDrug Discovery
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Input

AlphaFold2 InputsChoose an example to get started.
Binder Design Amino acid sequence input selection
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.

PDB Generated by Alphafold2

contigs stands for contiguous [protein regions].
The hotspot residues string provides a way to specify which region the new protein (binder) must contact with the original input protein (a target), therefore we can guide a binder to a specific region.
1520253035404550
ProteinMPNN InputsChoose how the protein target will be sent to ProteinMPNN.

PDB Generated by RF Diffusion

Chose a model option
0.010.110.210.310.410.510.610.710.810.911
Using free API for development

GOVERNING TERMS: Your use of this API is governed by the NVIDIA API Trial Service Terms of Use; and the use of this blueprint is governed by the NVIDIA AI Foundation Models Community License.

Output

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