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e Pep enables custom peptide synthesis companies to enhance their customer engagement by offering intuitive peptide design & analysis on their website. Through ePep, custom peptide synthesis companies can showcase their expertise to their customers and enable them to analyze and order through their website.

Polyclone eprime brouchure Download

e Pep is a web-based tool that helps determine an exhaustive set of physico-chemical properties for an input protein or peptide sequence. ePep helps calculate more than 35 properties of proteins and peptides for a thorough analysis of the given sequence.

ePep features

  • Standard & Non-standard modifications
  • Isotope additions
  • Comprehensive physico-chemical properties calculation
  • Antigenicity, Hydrophobicity & Hydrophilicity plots
  • Secondary structure prediction
  • Trans-membrane region prediction
  • Surface & Flexibility properties

S cientist friendly

  • Supports both single-letter and three-letter amino acid codes
  • Categorizes output for easy & logical interpretation
  • Eliminates junk characters in input data and retains only relevant data
  • Self-explanatory “i” button provides scientific & reference info on each of the properties and predictions
ePeP Screen Shot

Polyclone’s In silico Enzyme Engineering Framework (eEF) is a smart integration of proprietary algorithms and processes for high throughput and high confidence predictions of enzyme & protein modifications for desired properties. The solution integrates computational library design, directed evolution and statistical modeling of sequence–function relationships while considering the intermediary stages of enzyme-substrate interaction to achieve its goals.

The enzyme engineering framework
  • Provides enzyme models at process conditions, for a combination of desired physical and catalytic properties (like altered thermal/pH stability, increased activity) thus saving on costs and time
  • Adopts an approach comparable to in vitro biochemical studies and ensures biologically relevant predictions with a high confidence level (≥ 70%)
  • Employs built-in ranking functions to capture the finer details of intermolecular interactions and energetics across enzyme-substrate reaction, to provide a list of prioritized results based on the application
  • Enables understanding of the intricacies of enzyme-substrate interaction at the atomic level and helps in introducing novel modifications to the enzyme which may otherwise not have been discovered

Case studies
*Presented at Enzyme Engineering XXII: Emerging Topics in Enzyme Engineering, September 2013, Japan

Case studies
> In silico enzyme engineering to enhance the activity of a protease enzyme

> In silico modeling and docking analysis for antibody humanization studies