ProPHECY™ - in silico Peptide and Protein Optimization

By using the ProPHECY™ method you will:

  • Reduce the effort, time and costs involved in optimizing one or several targeted 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:
Pasupuleti M et al., (2008). Biochemistry, 47, 9057-9070.
(2) Kassetty, G. et al., (2011). J Innate Immun, 3, 471-482.

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.