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IN-SILICO ANALYSIS


Systems Biology - A Network Approach to Immune Modulation

The standard approach for identifying peptides that interact with physiological proteins is screening random peptide libraries. Although peptide – protein interaction is ubiquitous in nature, the high affinity interactions identified by library screening are not necessarily relevant to physiological regulatory events that require transient, low affinity interactions. The company’s bioinformatics program was developed to rationally identify regulatory peptides capable of non-covalent, low affinity interactions with disease-related proteins. The resulting algorithm, based on experimental data and clinical results, is named the Interactive Sequence Processor (ISP). The algorithm is used to identify and rationally design peptides, potential therapeutic modulators of disease-related. The ISP, an analytical algorithm, aligns multiple proteins to determine how they are related with respect to amino acid content and amino acid sequence. Whereas the conventional algorithm determines the overall relatedness of multiple proteins, the ISP identifies and defines discrete "consensus sequences" common to members of a protein family, or shared by different protein families. The ISP operates on the principle that amino acid sequences that are unique to a particular protein family, or are common to distinct protein families, are the ones that are essential for the proteins' structure and perforce, function. ISP-generated consensus sequences, therefore, are critical for protein integrity and activity and as such, prime targets for pharmacological modification.


 See: Chai EzerzerSystems Biology Consulting / SBC