Profluent

Define the target antigen.

Input the antigen sequence into Profluent.

Generate a library of potential antibody sequences.

Predict the binding affinity of each antibody to the antigen.

Select the top-performing antibodies for further optimization.

Validate the antibody's efficacy in-vitro and in-vivo.

Input the sequence of the existing enzyme.

Define the desired catalytic activity.

Generate a library of enzyme variants with mutations.

Predict the catalytic activity of each variant.

Select the top-performing variants for further optimization.

Validate the enzyme's activity in-vitro.

Define the target analyte.

Input the sequence of a suitable protein scaffold.

Generate a library of protein variants with altered binding sites.

Predict the binding affinity of each variant to the analyte.

Select the top-performing variants for further optimization.

Incorporate the protein into a biosensor device.

Define the target cell type or tissue.

Input the sequence of a protein that binds to the target.

Generate protein variants with improved binding affinity and specificity.

Attach the drug to the designed protein.

Test the drug delivery system in-vitro and in-vivo.

Define the desired material properties, such as strength and elasticity.

Input the sequence of a protein that forms a stable structure.

Generate protein variants with altered self-assembly properties.

Characterize the mechanical properties of the resulting materials.

Optimize the protein design for specific applications.

Input the target DNA sequence.

Use Profluent's OpenCRISPR to design guide RNAs with high on-target activity and minimal off-target effects.

Predict the editing efficiency of each guide RNA.

Select the top-performing guide RNAs for experimental validation.

Validate the guide RNA's efficacy in cell culture.

Deploy the guide RNA in CRISPR-based gene editing experiments.