AIMC Topic: Synthetic Biology

Clear Filters Showing 61 to 70 of 109 articles

Metabolic perceptrons for neural computing in biological systems.

Nature communications Aug 28, 2019
Synthetic biological circuits are promising tools for developing sophisticated systems for medical, industrial, and environmental applications. So far, circuit implementations commonly rely on gene expression regulation for information processing usi...
Neural Networks, Computer Computer Simulation Synthetic Biology Metabolic Engineering Escherichia coli
View on PubMed DOI

Designing Eukaryotic Gene Expression Regulation Using Machine Learning.

Trends in biotechnology Aug 17, 2019
Controlling the expression of genes is one of the key challenges of synthetic biology. Until recently fine-tuned control has been out of reach, particularly in eukaryotes owing to their complexity of gene regulation. With advances in machine learning...
Models, Genetic Flow Cytometry Genetic Variation Machine Learning Algorithms Eukaryota Synthetic Biology Genetic Engineering Gene Expression Regulation Eukaryotic Cells
View on PubMed DOI

A Deep Neural Network for Predicting and Engineering Alternative Polyadenylation.

Cell Jun 6, 2019
Alternative polyadenylation (APA) is a major driver of transcriptome diversity in human cells. Here, we use deep learning to predict APA from DNA sequence alone. We trained our model (APARENT, APA REgression NeT) on isoform expression data from over ...
RNA-Seq RNA, Messenger Models, Genetic Transcriptome Deep Learning Synthetic Biology HEK293 Cells Base Sequence Databases, Genetic Gene Expression Humans 3' Untranslated Regions RNA Cleavage Mutagenesis Polyadenylation
View on PubMed DOI

Lessons from Two Design-Build-Test-Learn Cycles of Dodecanol Production in Escherichia coli Aided by Machine Learning.

ACS synthetic biology May 24, 2019
The Design-Build-Test-Learn (DBTL) cycle, facilitated by exponentially improving capabilities in synthetic biology, is an increasingly adopted metabolic engineering framework that represents a more systematic and efficient approach to strain developm...
Metabolic Networks and Pathways Synthetic Biology Dodecanol Metabolic Engineering Algorithms Escherichia coli Machine Learning
View on PubMed DOI

Standardizing Automated DNA Assembly: Best Practices, Metrics, and Protocols Using Robots.

SLAS technology Feb 15, 2019
The advancement of synthetic biology requires the ability to create new DNA sequences to produce unique behaviors in biological systems. Automation is increasingly employed to carry out well-established assembly methods of DNA fragments in a multiple...
Genetic Engineering Robotics DNA Practice Guidelines as Topic Cloning, Molecular Synthetic Biology Automation, Laboratory
View on PubMed DOI

Tuning the Performance of Synthetic Riboswitches using Machine Learning.

ACS synthetic biology Jan 8, 2019
Riboswitch development for clinical, technological, and synthetic biology applications constantly seeks to optimize regulatory behavior. Here, we present a machine learning approach to improve the regulation of a tetracycline (tc)-dependent riboswitc...
Aptamers, Nucleotide Computational Biology Machine Learning Tetracycline Riboswitch Synthetic Biology Nucleic Acid Conformation
View on PubMed DOI

Machine Learning of Designed Translational Control Allows Predictive Pathway Optimization in Escherichia coli.

ACS synthetic biology Jan 7, 2019
The field of synthetic biology aims to make the design of biological systems predictable, shrinking the huge design space to practical numbers for testing. When designing microbial cell factories, most optimization efforts have focused on enzyme and ...
Synthetic Biology Ribosomes Machine Learning Escherichia coli
View on PubMed DOI

Deep learning to predict the lab-of-origin of engineered DNA.

Nature communications Aug 7, 2018
Genetic engineering projects are rapidly growing in scale and complexity, driven by new tools to design and construct DNA. There is increasing concern that widened access to these technologies could lead to attempts to construct cells for malicious i...
Plasmids Genetic Engineering Software Deep Learning Bayes Theorem Neural Networks, Computer Image Processing, Computer-Assisted Mutation DNA Synthetic Biology
View on PubMed DOI

Machine metaphors and ethics in synthetic biology.

Life sciences, society and policy Jun 4, 2018
The extent to which machine metaphors are used in synthetic biology is striking. These metaphors contain a specific perspective on organisms as well as on scientific and technological progress. Expressions such as "genetically engineered machine", "g...
Terminology as Topic Humans Ethics, Research Synthetic Biology Robotics
View on PubMed DOI

Leveraging knowledge engineering and machine learning for microbial bio-manufacturing.

Biotechnology advances May 3, 2018
Genome scale modeling (GSM) predicts the performance of microbial workhorses and helps identify beneficial gene targets. GSM integrated with intracellular flux dynamics, omics, and thermodynamics have shown remarkable progress in both elucidating com...
Metabolic Engineering Models, Biological Machine Learning Synthetic Biology Bioreactors
View on PubMed DOI
Popular Topics
Recent Journals