[HTML][HTML] Customizing cellular signal processing by synthetic multi-level regulatory circuits

Y Gao, L Wang, B Wang - Nature Communications, 2023 - nature.com
As synthetic biology permeates society, the signal processing circuits in engineered living
systems must be customized to meet practical demands. Towards this mission, novel …

[HTML][HTML] Machine learning in structural design: an opinionated review

C Málaga-Chuquitaype - Frontiers in Built Environment, 2022 - frontiersin.org
The prominence gained by Artificial Intelligence (AI) over all aspects of human activity today
cannot be overstated. This technology is no newcomer to structural engineering, with logic …

Machine learning-assisted optical nano-sensor arrays in microorganism analysis

J Yang, S Lu, B Chen, F Hu, C Li, C Guo - TrAC Trends in Analytical …, 2023 - Elsevier
Microbial infection can cause problems for public health, and to realize efficient
microorganism detection is of great importance. However, the simultaneous identification of …

Living electronics: A catalogue of engineered living electronic components

JT Atkinson, MS Chavez, CM Niman… - Microbial …, 2023 - Wiley Online Library
Biology leverages a range of electrical phenomena to extract and store energy, control
molecular reactions and enable multicellular communication. Microbes, in particular, have …

Living Synthelectronics: A New Era for Bioelectronics Powered by Synthetic Biology

J Sun, R Yang, Q Li, R Zhu, Y Jiang, L Zang… - Advanced …, 2024 - Wiley Online Library
Bioelectronics, which converges biology and electronics, has attracted great attention due to
their vital applications in human–machine interfaces. While traditional bioelectronic devices …

Machine learning and deep learning in synthetic biology: Key architectures, applications, and challenges

MK Goshisht - ACS omega, 2024 - ACS Publications
Machine learning (ML), particularly deep learning (DL), has made rapid and substantial
progress in synthetic biology in recent years. Biotechnological applications of biosystems …

Realizing molecular machine learning through communications for biological ai

S Balasubramaniam, S Somathilaka… - IEEE …, 2023 - ieeexplore.ieee.org
Artificial Intelligence (AI) and Machine Learning (ML) are weaving their way into the fabric of
society, where they are playing a crucial role in numerous facets of our lives. As we witness …

Construction of DNA-based molecular circuits using normally open and normally closed switches driven by lambda exonuclease

X Liu, X Zhang, Y Yao, P Shi, C Zeng, Q Zhang - Nanoscale, 2023 - pubs.rsc.org
Building synthetic molecular circuits is an important way to realize ion detection, information
processing, and molecular computing. However, it is still challenging to implement the NOT …

Deep learning concepts and applications for synthetic biology

WAV Beardall, GB Stan, MJ Dunlop - GEN biotechnology, 2022 - liebertpub.com
Synthetic biology has a natural synergy with deep learning. It can be used to generate large
data sets to train models, for example by using DNA synthesis, and deep learning models …

Distributed computing with engineered bacteria and its application in solving chemically generated 2× 2 maze problems

K Sarkar, S Chakraborty, D Bonnerjee… - ACS Synthetic …, 2021 - ACS Publications
This work presented an application of genetic distributed computing, where an abstract
computational problem was mapped on a complex truth table and solved using simple …