Ángel Goñi‐Moreno
Papers
1
Total Citations
3
H-Index
1
About
Ángel Goñi‐Moreno is a pioneering synthetic biologist whose work lies at the intersection of computational design and experimental gene circuit engineering. His research focuses on developing predictive models for synthetic biology, particularly in microbial systems, and creating standardized workflows for genetic part characterization. A major contribution is his development of a robust, high-throughput workflow for selecting functional promoter DNA baits and screening arrayed gene libraries in yeast, leveraging the yeast one-hybrid (Y1H) system to map DNA-protein interactions with unprecedented efficiency. This work, published in 2024, has already garnered 3 citations, reflecting its immediate utility in the field. Goñi‐Moreno is also recognized for advancing the rational design of biological circuits through computational frameworks that bridge the gap between in silico predictions and in vivo performance. His achievements include leading interdisciplinary teams that integrate bioinformatics, molecular biology, and automation, making him a key figure in the push toward predictable and scalable synthetic biology. For students and researchers, his work exemplifies how systematic approaches can transform biological engineering from an art into a reproducible science.
Research Focus
Key Achievements
Top Papers
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