In addition to these two pathways studied in this work, the developed approach can be applied to other biochemical systems if experimentally validated models are available for them.
Since the artificial clinical data was derived by manipulating the reaction rate constant of Rxn9, it is testified in this case that the developed approach is able to correctly detect malfunctioning reactions from the data.
In line with this aspect, we evaluated the developed approach only with small groups consisting of three trainees each.
This course of action allows the validation of the developed approach and reveals the potential of this method.
This again proves the accuracy of the developed approach for detecting malfunctioning preexisting molecules.
The influence from the added noise on the efficacy of the developed approach for detecting malfunctioning reactions/molecules is also evaluated in this work.
The results reflect that the developed approach has better forecasting performance than other methods considered in this study.
This paper describes the integrated design approach; also, practical results are presented where the developed approach was successfully applied.
The experimental results obtained using the systems validate the developed approach.
To prove the robustness of the developed approach, the results are compared with other recent techniques.
