Fusion protein functionality prediction using genetic algorithm
Keywords:
Protein, Fusion protein, Protein Functionality, Genetic AlgorithmAbstract
A fusion gene, which is composed by fusing pieces of two distinct genes, gives rise to a protein. The body may naturally produce fusion genes by transferring DNA between chromosomes. For instance, the BCR-ABL gene, which is a fusion gene that creates the BCR-ABL fusion protein, is found in a few different types of leukemia. By combining genes or segments of genes from related or unrelated animals, fusion genes and proteins can be produced further. Real-time lab tests, however, are expensive and time-consuming for automated fusion protein functionality prediction. In order to address this issue, this research suggests a brand-new Fusion Protein Functionality Prediction (FPFP) approach based on the Genetic Algorithm (GA) technique. The results of the experiments showed that the FPFP method accurately predicts the functionality of fusion proteins.
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