ADC
Boosting Payload Efficacy Through Bystander Killing Effects
AI-assisted ADC optimizaiton

Background
- Bystander-killing effects: Refers to the ability of an ADC’s cytotoxic payload, once released inside a target cell, to diffuse into neighboring tumor cells, enabling cancer cell killing even in the absence of antigen recognition.
- Targeting heterogeneous tumors: The bystander effect enhances treatment efficacy in tumors with variable antigen expression by allowing the payload to target both antigen-positive and antigen-negative cells.
- Balancing membrane permeability and microenvironment diffusion: Effectively managing the bystander effect is critical, as excessive diffusion of the free payload can affect healthy surrounding tissues, leading to potential off-target toxicity due to its lack of selectivity.
Approach

- Uni-QSAR pretrained model fine-tuned with high-quality cell membrane permeability dataset
- Empirical adjustments on the regression model
Result
A reliable model providing fast & accurate evaluation for payload design, endorsed by clients.