A generalized platform for artificial intelligence-powered autonomous enzyme engineering
University of Illinois Urbana-Champaign
Abstract
Proteins are the molecular machines of life with numerous applications in energy, health, and sustainability. However, engineering proteins with desired functions for practical applications remains slow, expensive, and specialist-dependent. Here we report a generally applicable platform for autonomous enzyme engineering that integrates machine learning and large language models with biofoundry automation to eliminate the need for human intervention, judgement, and domain expertise. Requiring only an input protein sequence and a quantifiable way to measure fitness, this automated platform can be applied to engineer a wide array of proteins. As a proof of concept, we engineer Arabidopsis thaliana halide…
Citation impact
- FWCI
- 32.66
- Percentile
- 100%
- References
- 56
Authors
7Topics & keywords
- Computer science
- Artificial intelligence