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Pseudomonas aeruginosa is the predominant bacterium found in many chronic biofilm infections. Over the past few decades, biofilm-related infections have posed a significant challenge to medical practice due to the increasing emergence of multidrug resistance. Cis -2-decenoic acid (CDA), a small molecule found in P. aeruginosa , has been shown to disperse biofilms formed by various bacteria and to work in synergy with common antibiotics. Despite that, the binding mechanism between CDA and the predicted cyclases/histidine kinases associated sensory extracellular (CHASE) domain of sensor protein DspS remains unknown in the absence of a crystallized protein structure. Moreover, the therapeutic potential of CDA is limited by its susceptibility to oxidative degradation and isomerization. In this work, we propose a structural model for the DspS CHASE domain. The resulting model displays an overall topology reminiscent of the sensor protein PcrK in Xanthomonas campestris . Through molecular dynamics simulations, a stable potential binding site for CDA was further identified. Virtual screening against the predicted site of DspS CHASE using our developed pipeline discovered two promising compounds, compounds 2 and 9 , capable of dislodging 7-day P. aeruginosa biofilms at 50 μM without affecting bacterial growth. These compounds also enhanced the effects of ciprofloxacin against P. aeruginosa , reduced the survival of dispersed cells, and increased the expression of matrix-degrading enzyme genes pelA , pslG , and eddA . This study provides insights into CDA recognition by DspS and represents the first large-scale effort to uncover first-in-class DspS activators. At the same time, this work also underscores the effectiveness of a computational-aided drug discovery process in finding new activators, even without a known protein structure.