Results 51 to 60 of about 2,952,613 (401)

Machine Learning and Deep Learning in Synthetic Biology: Key Architectures, Applications, and Challenges

ACS Omega
Machine learning (ML), particularly deep learning (DL), has made rapid and substantial progress in synthetic biology in recent years. Biotechnological applications of biosystems, including pathways, enzymes, and whole cells, are being probed frequently ...
Manoj Kumar Goshisht
semanticscholar   +1 more source

Genome-scale model of C. autoethanogenum reveals optimal bioprocess conditions for high-value chemical production from carbon monoxide

Engineering Biology, 2019
Clostridium autoethanogenum is an industrial microbe used for the commercial-scale production of ethanol from carbon monoxide. While significant progress has been made in the attempted diversification of this bioprocess, further improvements are ...
Rupert O.J. Norman, Thomas Millat, Sarah Schatschneider, Anne M. Henstra, Ronja Breitkopf, Bart Pander, Florence J. Annan, Pawel Piatek, Hassan B. Hartman, Mark G. Poolman, David A. Fell, Klaus Winzer, Nigel P. Minton, Charlie Hodgman   +13 more
doaj   +1 more source

BacillOndex: An Integrated Data Resource for Systems and Synthetic Biology [PDF]

, 2013
BacillOndex is an extension of the Ondex data integration system, providing a semantically annotated, integrated knowledge base for the model Gram-positive bacterium Bacillus subtilis. This application allows a user to mine a variety of B.
Allenby, Nick, Hallinan, Jennifer S., James, Katherine, Misirli, Goksel, Mullen, Joseph, Pocock, Matthew, Smith, Wendy, Wipat, Anil   +7 more
core   +2 more sources

Doing synthetic biology with photosynthetic microorganisms.

Physiologia Plantarum : An International Journal for Plant Biology, 2021
The use of photosynthetic microbes as synthetic biology hosts for the sustainable production of commodity chemicals and even fuels has received increasing attention over the last decade.
Konstantinos Vavitsas, Amit Kugler, Alessandro Satta, D. Hatzinikolaou, P. Lindblad, D. Fewer, P. Lindberg, M. Toivari, Karin Stensjö   +8 more
semanticscholar   +1 more source

Opening up the Future(s) of Synthetic Biology [PDF]

, 2013
Much of the discussion surrounding synthetic biology involves some degree of speculation about the future. This paper reports on two workshops we held with the aim of ‘opening up’ and exploring possible futures for synthetic biology, one at the Synthetic
Calvert, Jane, Frow, Emma
core   +1 more source

Behaviorist approaches to investigating memory and learning: A primer for synthetic biology and bioengineering

Communicative & Integrative Biology, 2021
The fields of developmental biology, biomedicine, and artificial life are being revolutionized by advances in synthetic morphology. The next phase of synthetic biology and bioengineering is resulting in the construction of novel organisms (biobots ...
C. Abramson, M. Levin
semanticscholar   +1 more source

Deconstructing synthetic biology across scales: a conceptual approach for training synthetic biologists

Nature Communications
Synthetic biology allows us to reuse, repurpose, and reconfigure biological systems to address society’s most pressing challenges. Developing biotechnologies in this way requires integrating concepts across disciplines, posing challenges to educating ...
Ashty S. Karim, Dylan M. Brown, Chloé M. Archuleta, Sharisse Grannan, Ludmilla Aristilde, Yogesh Goyal, Josh N. Leonard, Niall M. Mangan, Arthur Prindle, Gabriel J. Rocklin, Keith J. Tyo, Laurie Zoloth, Michael C. Jewett, Susanna Calkins, Neha P. Kamat, Danielle Tullman-Ercek, Julius B. Lucks   +16 more
doaj   +1 more source

Engineering consortia by polymeric microbial swarmbots

Nature Communications, 2022
Most attempts to co-cultivate the artificial microbial communities fail mostly due to the mismatched rates of consumption and production of nutrients among subpopulations. Here, the authors develop a microbial swarmbot mediated spatial segregation method
Lin Wang, Xi Zhang, Chenwang Tang, Pengcheng Li, Runtao Zhu, Jing Sun, Yunfeng Zhang, Hua Cui, Jiajia Ma, Xinyu Song, Weiwen Zhang, Xiang Gao, Xiaozhou Luo, Lingchong You, Ye Chen, Zhuojun Dai   +15 more
doaj   +1 more source

BrisSynBio:a BBSRC/EPSRC-funded Synthetic Biology Research Centre [PDF]

, 2016
BrisSynBio is the Bristol-based Biotechnology and Biological Sciences Research Council (BBSRC)/Engineering and Physical Sciences Research Council (EPSRC)-funded Synthetic Biology Research Centre. It is one of six such Centres in the U.K.
Race, Paul R, Sedgley, Kathleen R, Woolfson, Dek N   +2 more
core   +1 more source

Mapping the evolution of mitochondrial complex I through structural variation

FEBS Letters, EarlyView.
Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin, Tingting Chen, James A. Letts   +2 more
wiley   +1 more source