Identification of Immune-Related Genes and Small-Molecule Drugs in Interstitial Cystitis/Bladder Pain Syndrome Based on the Integrative Machine Learning Algorithms and Molecular Docking

<div>Identification and validation of small-molecule drugs. (a) The heatmap performs the lowest binding energy for molecular docking. (b–f) Chemical structure depiction of the potential small-molecule drugs. (b) Azathioprine, (c) bumetanide (d) dibenzoylmethane, (e) mercaptopurine, and (f) propylthiouracil.</div>

Journal of Immunology Research

fig8

Figure 8

Figure 8: Identification of Immune-Related Genes and Small-Molecule Drugs in Interstitial Cystitis/Bladder Pain Syndrome Based on the Integrative Machine Learning Algorithms and Molecular Docking 

Figure 8 | Identification of Immune-Related Genes and Small-Molecule Drugs in Interstitial Cystitis/Bladder Pain Syndrome Based on the Integrative Machine Learning Algorithms and Molecular Docking 