improve the GDT-TS of each target on top1, the average GDT-TS of top 10 and all population. The performance of WMDS-based method with three parents is very bad and the reason are still not clear, so multi-parents for WMDS-based crossover algorithm needs more research on it. In the CASP refinement problem, the best starting model will be provided, but this experiment only consider the whole population for each target, more experiment should be done for the next CASP competition. In this study, the global ProQ2 score was used as protein quality assessment method and the local ProQ2 score was used to construct the weight matrices. For further study, other promising program such as IDDT could be used in this evolutionary algorithm to see whether better results could be obtained. Another problem is how to pick the best model from the finial population using better quality assessment method. Evolutionary algorithm as a stochastic searching process could get the similar performance for different runs. The final results may be different and the exactly same results couldn’t be obtained in this experiment.
improve the GDT-TS of each target on top1, the average GDT-TS of top 10 and all population. The performance of WMDS-based method with three parents is very bad and the reason are still not clear, so multi-parents for WMDS-based crossover algorithm needs more research on it. In the CASP refinement problem, the best starting model will be provided, but this experiment only consider the whole population for each target, more experiment should be done for the next CASP competition. In this study, the global ProQ2 score was used as protein quality assessment method and the local ProQ2 score was used to construct the weight matrices. For further study, other promising program such as IDDT could be used in this evolutionary algorithm to see whether better results could be obtained. Another problem is how to pick the best model from the finial population using better quality assessment method. Evolutionary algorithm as a stochastic searching process could get the similar performance for different runs. The final results may be different and the exactly same results couldn’t be obtained in this experiment.