Triple objective optimization of cytotoxic potency of human carcinoma cell lines of ulva fasciata delile (A marine macro alga) using non-sorting genetic algorithm

Abstract

Objective: The main purpose of our work was to arrive at an acceptable model for optimizing the cytotoxic potency of Ulva fasciata Delile extract on human carcinoma cell lines of which can provide believable indications as compared to experimental results. Methods: The experimental result for cytotoxic potency of a methanolic extract of the Ulva fasciata Delile (MEUF) with a 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide (MTT) assay against human colon carcinoma (HT-29), human hepatocyte carcinoma (Hep-G2), and human breast carcinoma (MCF-7) cell lines was used to carry out a multi-objective (triple objective) optimization. Thirty non-dominating solutions were considered for analyses of absorbance (y1), % cell survival (y2) and% cell inhibition (y3) data. Results: The model developed using non-dominated sorting genetic algorithm (NSGA) was compared with data obtained experimentally and the results were found to be significant. This method has distinct advantages over other methods which relied heavily on statistical-regression-models, in the sense that it does triple-objective optimization. The resulted in obtaining solutions which were not only significant or believable, but it also corroborated well with experimental results. Thus the solutions obtained during optimization provided the necessary data for generating a successful model. Conclusion: The solutions obtained by NSGA method helped to build an acceptable model for optimizing the cytotoxic potency of Ulva fasciata Delile on human carcinoma cell lines.