
This is a collection of files necessary to reproduce a subset of the results discussed in the manuscript entilted HHIP’s Dynamic Role in Epithelial Wound Healing Reveals a Potential Mechanism of COPD Susceptibility by Deritei et al. (accepted for publication at PNAS). Files are read by the dynmod software (https://github.com/Ravasz-Regan-Group/dynmod) to simulate the largeer Boolean model’s (shown on Fig. 4 and Supplemental Fig S2) behaviors. These include the model in .dmms format (as well as .BooleanNet and .SBML formats, namely COPD_EMT_CellCycle_Apoptosis.dmms, COPD_EMT_CellCycle_Apoptosis_Fine.booleannet, the “in silico protocol” files for reproducing all figures (COPD_Figures.vex), re-running the validation experiments (Validation_Table_COPD_EMT_CellCycle_Apoptosis.vex) and running a python script that performs all validation statistical tests and generating a results list (Large Model Validation Script.py, ST5 - Large model validation.csv). The _EXP folder contains exported figures necessary for generating the main manuscript Figure 5 and Supplemental Figures 3-7.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
