Prediction of Protein-Protein Interaction Sites (ISPPIsSP)

Protein-protein interaction (PPI) sites play a key role in the formation of protein complexes, and protein complexes are the basis of various biological processes. Many prediction algorithms to determine PPI sites have been developed because the current experimental methods are expensive and time-consuming. CD ComputaBio can effectively predict protein-protein interaction (PPI) sites using computational biology-based methods.

Figure 1. Protein-protein interaction sites.

Overall solutions

The methods we use to predict PPIs can be divided into the following three categories.

• Sequence-based methods.
  Methods based on sequence information use features extracted from protein sequences to predict protein interaction sites.
• Structure-based methods.
  Knowledge of the three-dimensional (3D) structure of the protein complex provides much valuable information on the protein interaction sites.
• Methods based on integrated information.
  Integrating the 3D structure and sequence information of the protein from databases such as the Protein Data Bank (PDB) and UniProt.

Our services

Our advantages

• CD ComputaBio use a variety of methods to provide you with protein-protein interaction sites.
• Short service period and high efficiency.
• Nowadays, we can provide many tools and techniques are available to predict the protein-protein interactions.

CD ComputaBio can provide you but not limited to:

• in silico protein-protein interactions prediction service
• Protein-protein interaction network prediction (ISPPINsP)
• Prediction of protein-protein interaction (ISPPIsP)

CD ComputaBio provides corresponding prediction of protein-protein interaction sites service. Our service provides result that it is very useful for understanding the biochemical basis of physiological events. Our expert team can choose the most suitable analysis method for you, so you don't have to worry about technical issues. The CD ComputaBio team has been working in this field for more than ten years and has published his findings in top scientific journals.