ProPHECY™ - in silico Protein Optimization and Design

By using the ProPHECY™ method you will:


Reduce the effort, time and costs involved in optimizing one or several target protein or peptide properties

Reach your goals faster and at lower cost compared to random screening

Discover hidden information in large and complex data sets

Predict the effect of a single amino acid replacement from data containing complex replacement patterns

Achieve detailed quantitative information on the influence of each amino acid replacement
Perform parallel optimization of several parameters

Understand sequence-activity-relationships for your target protein or peptide

Use the gained information to rationally predict and design new optimized variants

Download the ProPHECY flyer for more information!

Examples of the use of ProPHECY™ can also be found in the publications below:
(1) Pasupuleti M et al., (2008). Biochemistry, 47, 9057-9070.
(2) Kassetty, G. et al., (2011). J Innate Immun, 3, 471-482.

ProPHECY™ protein optimization method
Bo Svensso, SARomics Biostructures

About the method
It is often desirable to modify a biomolecule (peptide, polypeptide, protein, antibody etc.) to optimize specific properties in a rational way. For example:

increase its biological or catalytic activity
decrease its antigenicity
enhance its cell penetrating capabilities
protease resistance,
thermal stability,
solubility

Our proprietary and proven ProPHECY™ in silico protein optimization technology offers a quick and less costly approach.

By modifying and optimizing the amino acid sequence of a protein one could explore the structure-activity relationships (SAR) and using them control protein properties and eventually modify them in a desired way. ProPHECY™ is reminiscent of QSAR (Quantitative Structure-Activity Relationship) methodology used for decades in the optimization of organic small molecules. It uses a novel method by which experimentally determined properties of a protein can be utilized for the prediction of amino acid replacements required to achieve controlled modifications. This will greatly reduce effort, time and costs required in a protein optimization project. You are welcome to contact us for further discussion of your project.