DESIGNING COMPLEMENTARY PEPTIDES WITH A GENETIC ALGORITYM TOA 10 AMINO ACID PEPTIDE OF THE C-TERMINAL OF C5A ANAPHYLATOXIN

概要

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Using a novel genetic algorithm, a computer program (COMPEP) has been designed to create peptides able to interact with a peptide target 10 amino acids in length. A computer learning methodlogy was used to select and inter-correlate a number of physicochemical parameters in order to evaluate the affinity of a pair of peptides, then this function was used as the "fitness function" in the genetic algorithm (GA) to select the best conplementary amino acid sequences to a particular target sequence. A fragment of the C-termainal of C5a anaphylatoxin (C5a-decapeptide) was chosen as the target sequence. Millions of potential complementary peptides (C-peptides) generated with the genetic algorithm were ranked according to ohysicochemical parameters during the evolutionary process. The parameters were altered foe several runs. Peptides with the highest scores were selected and then synthesized by solidphase peptide synthesis on a peptide array. Five hundred peptides were synthesized, and their ability to bind with the C5a-decapeptide was determined. Sixty nine of the peptides showed significant binding.
2008-03-31