Data‐Driven Identification of Hydrogen Sulfide Scavengers

Hydrogen sulfide (H₂S) is an important signaling molecule whose up‐ and down‐regulation have specific biological consequences. Although significant advances in H₂S up‐regulation, by the development of H₂S donors, have been achieved in recent years, precise H₂S down‐regulation is still challenging. The lack of potent/specific inhibitors for H₂S‐producing enzymes contributes to this problem. We expect the development of H₂S scavengers is an alternative approach to address this problem. Since chemical sensors and scavengers of H₂S share the same criteria, we constructed a H₂S sensor database, which summarizes key parameters of reported sensors. Data‐driven analysis led to the selection of 30 potential compounds. Further evaluation of these compounds identified a group of promising scavengers, based on the sulfonyl azide template. The efficiency of these scavengers in in vitro and in vivo experiments was demonstrated.