Clickmab Wins 2025 Chinese Antibody Society Poster Presentation Award

The Chinese Antibody Society is a global non-profit professional organization focused on therapeutic antibodies. Its 2025 annual meeting in Cambridge, Massachusetts centers on new frontiers in bispecific antibodies, ADCs, and beyond. Clickmab's NAVIGATOR work received the Poster Presentation Award again, reflecting both technical recognition and growing industry interest in AI-enabled R&D for difficult targets.

GPCRs play essential roles in cell signaling and account for roughly one third of all drug targets. Yet agonist antibody discovery for GPCRs remains difficult because screening is complex, affinity does not always correlate with activity, mutation space is massive, and the relationship between conformational change and function is hard to model.

To address this, Clickmab developed NAVIGATOR, a workflow that integrates structural biology, molecular modeling, and LLM-driven AI for iterative optimization across computational and wet lab settings. The method builds structural models for VHH mutants, computes relevant energy terms, and then incorporates experimental data into antibody language-model fine-tuning to improve prediction of new mutation combinations.

After less than four months and three rounds of iterative optimization, the best designed mutant delivered nearly two orders of magnitude higher agonist activity than the parental VHH, with picomolar EC50. These results show that NAVIGATOR can effectively optimize GPCR-targeting agonist antibodies while materially shortening development cycles and lowering cost.