CD ComputaBio, a reliable computational biology service provider located in New York, is always hammering at research and trials in order to provide customers with access to the latest software, technologies, and expertise at a competitive price and fast turnaround time. Recently, the product manager announced the launch of the in silico protein-protein interactions prediction service to predict the biological functions of proteins, associate proteins with various diseases, and gain insights into the mechanism of drug action.
Protein-protein interaction (PPI) is a highly specific physical contact established between two or more protein molecules. It is the result of biochemical events generated by the interaction, including electrostatic force, hydrogen bonding, and hydrophobic interaction. Many are physical contacts of molecular associations between chains that occur in cells or living organisms in a specific biomolecular environment.
In general, methods for researching PPIs are classified as either experimental or in silico/computational. To study and identify PPIs, further elucidate PPI networks (PPINs), and disclose the molecular recognition processes of various types of PPIs, experimental methods such as yeast two-hybrid screening, pull-down, and co-immunoprecipitation assays have been widely used. However, due to many physicochemical variables such as post-translational modification (PTM), transient dynamics, proteins with inherently disordered regions, and physiological circumstances, such experimental methods have limits. Furthermore, the experimental procedures are costly, time-consuming, and prone to producing false positive results for transient PPIs.
In contrast, with the development of deep learning and new specific algorithms, as well as more data derived from structural biology and various “omics,” in silico protein-protein interactions prediction has been shown to provide more reliable qualitative and even quantitative results, complement the limitations of experimental approaches, and increase the robustness of biological insight obtained.
“As one of the trusted service providers in the field of biotechnology, CD ComputaBio’s analysis services utilize advanced bioinformatics analysis platforms and mature expertise to help customers meet their project needs. Our team of scientists has extensive experience in this field and can provide personalized PPI prediction services for proteins of interest.” Commented the Senior Scientist of CD ComputaBio.
CD ComputaBio provides you with In Silico PPI Prediction services through a variety of different methods, which can accurately predict protein interactions from different aspects. The services provided by CD ComputaBio mainly include:
1.In silico protein-protein interactions prediction (ISPPIsP)
2.In silico protein-protein interactions networks prediction (ISPPINsP)
3.In silico protein-protein interactions sites prediction (ISPPIsSP)
About CD ComputaBio
With years of experience, CD ComputaBio can provide customers with professional computational biology services. Utilizing rich experience and powerful technology in computational science, the company can provide customers with many computational biology analysis services such as molecular dynamics simulation, drug design, virtual screening, quantum chemical calculations, etc.