abstract = "Thiophene-containing photosensitizers are gaining
recognition for their role in photodynamic therapy
(PDT). However, the inherent reactivity of the
thiophene moiety toward singlet oxygen threatens the
stability and efficiency of these photosensitizers.
This study presents a novel mathematical model capable
of predicting the reactivity of thiophene toward
singlet oxygen in PDT, using Conceptual Density
Functional Theory (CDFT) and genetic programming. The
research combines advanced computational methods,
including various DFT techniques and symbolic
regression, and is validated with experimental data.
The findings underscore the capacity of the model to
classify photosensitizers based on their photodynamic
efficiency and safety, particularly noting that
photosensitizers with a constant rate 1000 times lower
than that of unmodified thiophene retain their
photodynamic performance without substantial singlet
oxygen quenching. Additionally, the research offers
insights into the impact of electronic effects on
thiophene reactivity. Finally, this study significantly
advances thiophene-based photosensitizer design, paving
the way for therapeutic agents that achieve a desirable
balance between efficiency and safety in PDT.",
notes = "also known as \cite{ijms25052528}
Centro de Quimica Medica, Facultad de Medicina Clinica
Alemana, Universidad del Desarrollo, Santiago 7780272,
Chile",