Protein is an important component of all cells and tissues of the human body and an important material basis for life activities. However, the function of living organisms is not performed independently by a single protein, but is achieved through the interaction of protein and protein. If the protein interaction is abnormal, it will affect the cell activity and function, and cause various diseases. For protein interaction, in essence, it is realized by the mutual combination of some residues (amino acids from which water molecules are removed) on the protein. These residues are called protein interaction sites. By studying the binding sites of the interaction, it is possible to predict which residues on the protein are involved in the protein interaction. The research has important influence and significance on understanding the mechanism of life activities, exploring the principle of protein interaction, and discovering new drug target protein interaction relationships.
Figure 1. Protein-protein interaction sites.
For the study of protein interaction site prediction, the method of biological experiment is adopted, which not only takes a long period but also consumes a lot of manpower and material resources. Therefore, computational methods to predict protein interaction sites have become the current mainstream method.
CD ComputaBio summarized the previous calculation methods used for protein interaction site prediction, many of which usually have the following problems:
Project name | Protein-protein interaction sites Prediction |
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Services | Experimental methods to solve PPI sites are expensive and time-consuming, which has led to the development of various prediction algorithms. Therefore, we provide a method based on computational biology to predict protein-protein interaction (PPI) sites. |
Product delivery mode | The simulation results provide you with the raw data and analysis results. |
Price | Inquiry |
The Prediction of protein-protein interaction sites provided by CD ComputaBio can help you obtain many important information in biology, because they can regulate almost all cellular processes, including metabolic cycles, DNA transcription and replication, different signal cascades and mny other processes.
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