The model of the apoptosome complex obtained from the electron density map at ~9.5 Å resolution [PDB 3J2T] [ 25] was treated as one more model structure under investigation.
Therefore, it seems that greater effort should be invested in improving the robustness of models for climate change impact studies, especially by developing more suitable model structures and proposing calibration procedures that increase their robustness.
As future improvement, we may investigate the use of evidential pairwise Markov models to consider more complex model structures.
This more complex model structure, however, naturally brings about a more demanding task of extracting the model parameters from experimental data.
Since manual model fitting was required for only one spatial and one temporal variogram, a more complex model structure could be adopted, allowing the use of multiple structured components from the list described above such as to provide a closer fit.
Although decision models are commonly used to evaluate the clinical and economic impact of returning a single genetic test result,12,13,14,15 the myriad results potentially generated from NGS required a more complex model structure.
On the other hand, the spatial distribution of the mass, energy and concentrations may be observed in the case of a more complex model structure that demands the use of models described by partial differential equations.
Although the adoption of continuous-time expressions may lead to a more complex model structure and stronger coupling link between variables, it can minimize the size of a model and improve the solving efficiency.
More complicated model structure could be made to increase the clinical accuracy of our model.
Since γ and δ share the same fold, a more compact model structure for γ was generated, in line with the crystal structure of δ in the γ complex.
