AIMC Topic: Synthetic Biology

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Deep Neural Networks for Predicting Single-Cell Responses and Probability Landscapes.

ACS synthetic biology
Engineering biology relies on the accurate prediction of cell responses. However, making these predictions is challenging for a variety of reasons, including the stochasticity of biochemical reactions, variability between cells, and incomplete inform...

De novo design of protein interactions with learned surface fingerprints.

Nature
Physical interactions between proteins are essential for most biological processes governing life. However, the molecular determinants of such interactions have been challenging to understand, even as genomic, proteomic and structural data increase. ...

Synthetic biology, genetic circuits and machine learning: a new age of cancer therapy.

Molecular oncology
Synthetic biology has made it possible to rewire natural cellular responses to treat disease, notably demonstrated by chimeric antigen receptor (CAR) T cells as cancer immunotherapy. Building on the success of T-cell activation using synthetic recept...

Precision engineering of biological function with large-scale measurements and machine learning.

PloS one
As synthetic biology expands and accelerates into real-world applications, methods for quantitatively and precisely engineering biological function become increasingly relevant. This is particularly true for applications that require programmed sensi...

Designing artificial synthetic promoters for accurate, smart, and versatile gene expression in plants.

Plant communications
With the development of high-throughput biology techniques and artificial intelligence, it has become increasingly feasible to design and construct artificial biological parts, modules, circuits, and even whole systems. To overcome the limitations of...

Enabling technology and core theory of synthetic biology.

Science China. Life sciences
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 various principles and technologies in the mainstream of the enabling ...

Metabolic engineering for sustainability and health.

Trends in biotechnology
Bio-based production of chemicals and materials has attracted much attention due to the urgent need to establish sustainability and enhance human health. Metabolic engineering (ME) allows purposeful modification of cellular metabolic, regulatory, and...

Perspectives for self-driving labs in synthetic biology.

Current opinion in biotechnology
Self-driving labs (SDLs) combine fully automated experiments with artificial intelligence (AI) that decides the next set of experiments. Taken to their ultimate expression, SDLs could usher a new paradigm of scientific research, where the world is pr...

A nonlinear neural network based on an analog DNA toehold mediated strand displacement reaction circuit.

Nanoscale
The DNA toehold mediated strand displacement reaction is one of the semi-synthetic biology technologies for next-generation computers. In this article, we present a framework for a novel nonlinear neural network based on an engineered biochemical cir...

Microbial chassis engineering drives heterologous production of complex secondary metabolites.

Biotechnology advances
The cryptic secondary metabolite biosynthetic gene clusters (BGCs) far outnumber currently known secondary metabolites. Heterologous production of secondary metabolite BGCs in suitable chassis facilitates yield improvement and discovery of new-to-nat...