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Scientific discovery in the age of artificial intelligence
Artificial intelligence (AI) is being increasingly integrated into scientific discovery to augment
and accelerate research, hel** scientists to generate hypotheses, design experiments …
and accelerate research, hel** scientists to generate hypotheses, design experiments …
Cell-free gene expression
Cell-free gene expression (CFE) emerged as an alternative approach to living cells for
specific applications in protein synthesis and labelling for structural biology and proteomics …
specific applications in protein synthesis and labelling for structural biology and proteomics …
Combining mechanistic and machine learning models for predictive engineering and optimization of tryptophan metabolism
Through advanced mechanistic modeling and the generation of large high-quality datasets,
machine learning is becoming an integral part of understanding and engineering living …
machine learning is becoming an integral part of understanding and engineering living …
[HTML][HTML] Advanced machine-learning techniques in drug discovery
Highlights•Machine learning techniques (MLTs) are progressing the drug discovery
process.•Conventional MLTs require large data, lack transparency and are not …
process.•Conventional MLTs require large data, lack transparency and are not …
A versatile active learning workflow for optimization of genetic and metabolic networks
Optimization of biological networks is often limited by wet lab labor and cost, and the lack of
convenient computational tools. Here, we describe METIS, a versatile active machine …
convenient computational tools. Here, we describe METIS, a versatile active machine …
Recent advances in machine learning applications in metabolic engineering
Metabolic engineering encompasses several widely-used strategies, which currently hold a
high seat in the field of biotechnology when its potential is manifesting through a plethora of …
high seat in the field of biotechnology when its potential is manifesting through a plethora of …
[HTML][HTML] Automating the design-build-test-learn cycle towards next-generation bacterial cell factories
Automation is playing an increasingly significant role in synthetic biology. Groundbreaking
technologies, developed over the past 20 years, have enormously accelerated the …
technologies, developed over the past 20 years, have enormously accelerated the …
The all-E. coliTXTL toolbox 3.0: new capabilities of a cell-free synthetic biology platform
The new generation of cell-free gene expression systems enables the prototy** and
engineering of biological systems in vitro over a remarkable scope of applications and …
engineering of biological systems in vitro over a remarkable scope of applications and …
Biological research and self-driving labs in deep space supported by artificial intelligence
Abstract Space biology research aims to understand fundamental spaceflight effects on
organisms, develop foundational knowledge to support deep space exploration and …
organisms, develop foundational knowledge to support deep space exploration and …
Enabling technology and core theory of synthetic biology
Synthetic biology provides a new paradigm for life science research (“build to learn”) and
opens the future journey of biotechnology (“build to use”). Here, we discuss advances of …
opens the future journey of biotechnology (“build to use”). Here, we discuss advances of …