The molecular model considered here is based on a random packing of fullerene-like fragments, functionalized with carboxylate groups.
39– 41 Due to the limitations of this in silico molecular modeling study, we did not consider different conformational changes of hPRs due to their differential phosphorylation inside the cells, and further crystallographic studies are required to confirm our findings.
Several examples of using AIL in chemoinformatics and the prospects of its application in molecular modeling are considered.
To study the molecular events in CVD and diabetes, in vitro endothelial models considering the relevant conditions and time intervals that reflect the clinical situations are crucial.
However, molecular models are still widely considered to be under-developed and model-based methods can still be subject to long-branch grouping errors due to the unpredictability of evolutionary rates [ 46- 48].
A more complex molecular model should be considered, including the 5 different histotypes and their various molecular signatures in order to better describe the heterogeneous nature of ovarian epithelial cancer along with the various specific targeted therapies [ 5, 6].
For the sake of completeness, we describe in Table 1 the BCC model considered in this work, overall consisting in 96 reactions among 71 molecular species.
In the second route (method B), the molecular models were built by considering carbon and hydrogen atoms.
In the first route (method A), the molecular models were built by considering only carbon atoms, and all other heteroatoms present were neglected.
Thus, the model considers molecular flexibility, intermolecular interactions and test rate, which makes it a reliable and interpretable subset.
