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PreprintCC BYbioRxiv

Computationally Guided Design of Two Novel Phosphodiesterase-4 Inhibitors for Treatment of Plaque Psoriasis

  1. 1UC Davis

Abstract

Plaque psoriasis is a chronic inflammatory skin disease characterized by itchy, scaly skin. Although there is currently no cure for this disease, it can be managed with medication, such as phosphodiesterase-4 (PDE4) inhibitors. Current PDE4 inhibitors are limited and show adverse effects. With the goal to develop better PDE4 inhibitors for the treatment of plaque psoriasis, two novel drug candidates were designed with computational studies, and observed to have better ADMET properties compared to Roflumilast. A homology analysis was performed to determine the best model organism for preclinical studies of the novel candidates.

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BibTeX
@misc{liu2026computationally,
  title = {{Computationally Guided Design of Two Novel Phosphodiesterase-4 Inhibitors for Treatment of Plaque Psoriasis}},
  author = {A. Liu and E. R. M. James and J. B. Siegel},
  howpublished = {bioRxiv},
  year = {2026},
  month = oct,
  doi = {10.64898/2026.10.20.760516},
  url = {https://www.biorxiv.org/content/10.64898/2026.10.20.760516v1},
  note = {CC BY},
}
RIS
TY  - UNPB
TI  - Computationally Guided Design of Two Novel Phosphodiesterase-4 Inhibitors for Treatment of Plaque Psoriasis
AU  - A. Liu
AU  - E. R. M. James
AU  - J. B. Siegel
PY  - 2026
DA  - 2026/10/20
PB  - bioRxiv
DO  - 10.64898/2026.10.20.760516
UR  - https://www.biorxiv.org/content/10.64898/2026.10.20.760516v1
AB  - Plaque psoriasis is a chronic inflammatory skin disease characterized by itchy, scaly skin. Although there is currently no cure for this disease, it can be managed with medication, such as phosphodiesterase-4 (PDE4) inhibitors. Current PDE4 inhibitors are limited and show adverse effects. With the goal to develop better PDE4 inhibitors for the treatment of plaque psoriasis, two novel drug candidates were designed with computational studies, and observed to have better ADMET properties compared to Roflumilast. A homology analysis was performed to determine the best model organism for preclinical studies of the novel candidates.
ER  -