Proteins for Lead Detection - Mike Jewett

Why It Matters

Faster, low‑cost protein‑based lead sensors could transform environmental testing markets and reduce public health risks.

Key Takeaways

• Protein engineering creates novel or tuned proteins for lead detection.
• Amino‑acid sequence determines protein structure and function, not predictable a priori.
• Lab iterates mutations near binding sites to discover functional variants.
• Machine learning accelerates mutation screening for lead‑binding proteins.
• Rapid protein design could enable scalable, low‑cost environmental sensors.

Summary

Mike Jewett explains how his lab engineers proteins—either entirely new or modified natural variants—to serve as lead‑detection sensors.

Proteins are strings of 20 possible amino acids; their order dictates three‑dimensional structure and function. Because the relationship between sequence and a desired activity, such as binding lead or DNA, cannot be predicted reliably, the team mutates residues around the putative binding pocket and screens thousands of variants.

Jewett notes that the process is traditionally labor‑intensive, but today they employ machine‑learning models to prioritize mutations, dramatically shortening the design‑build‑test cycle.

Accelerated protein design promises cheap, field‑deployable lead sensors, opening commercial avenues in environmental monitoring, regulatory compliance, and consumer safety.

Original Description

Michael Jewett is a pioneer of cell-free biotechnology. Instead of using living microbes as factories, he uses their internal molecular machinery to make valuable proteins, medicines, diagnostics, and other chemicals.