Jeremiah Ayensu

Moremi Bio Agent: Leveraging Agentic Large Language Model for the Discovery of Broad-Spectrum Antibiotics for Enterobacteriaceae

This study uses an agentic LLM to design and evaluate 1,002 broad-spectrum antibiotic candidates targeting Enterobacteriaceae, with 774 passing ADMET benchmarks and 391 showing moderate binding to dual targets.

Moremi Bio Agent: Application of A Foundation Model and End-to-End Automation in the Design and Validation of Monoclonal Antibodies Targeting Plasmodium falciparum Invasion Complex

This study uses a foundation model to design and validate monoclonal antibodies targeting Plasmodium falciparum invasion complex, identifying highly effective candidates with strong binding and stability.