Erpeng Guo

Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), BGI Group (China), Chinese Academy of Sciences

Papers

Total Citations

108

H-Index

About

Erpeng Guo is a synthetic biologist whose research sits at the dynamic intersection of automation, metabolic engineering, and natural product discovery. His work has made significant contributions to accelerating the design-build-test-learn (DBTL) cycle central to modern synthetic biology, particularly through the development and application of biological foundry technologies. His most-cited work, "Accelerating strain engineering in biofuel research via build and test automation of synthetic biology" (2021, 68 citations), demonstrates how robotic automation can dramatically speed up the iterative process of engineering microbial strains for biofuel production. Guo has also advanced the field of ribosomally synthesized and post-translationally modified peptides (RiPPs), developing robotic platforms for constructing and screening lanthipeptide variant libraries in *Escherichia coli* — work that opens new avenues for antimicrobial peptide discovery. His contributions to high-throughput mass spectrometric screening further underscore his commitment to streamlining strain evaluation pipelines. Across his publication record, Guo consistently bridges cutting-edge automation with practical biological applications, making him a notable figure for researchers interested in scaling up synthetic biology workflows efficiently and intelligently.