Retinitis pigmentosa is the prevailing genetic cause of blindness in developed nations with no effective treatments. In the pursuit of unraveling the intricate dynamics underlying this complex disease, mechanistic
models emerge as a tool of proven efficiency rooted in systems biology, to elucidate the interplay between RP genes
and their mechanisms. The integration of mechanistic models and drug‑target interactions under the umbrella
of machine learning methodologies provides a multifaceted approach that can boost the discovery of novel therapeutic targets, facilitating further drug repurposing in RP.Medicin
