Article
Biotechnology & Applied Microbiology
Chen Yang, Yushi Liu, Wan-Qiu Liu, Changzhu Wu, Jian Li
Summary: Researchers designed a modular cell-free platform to construct long biosynthetic pathways for tunable synthesis of value-added aromatic compounds. Coexpression of multiple enzymes in different cell-free modules allowed successful reconstitution of the full biosynthetic pathways and achieved high conversion rates for the target products.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2021)
Review
Chemistry, Applied
Yinchen Zhang, Ning Nie, Yifei Zhang
Summary: The implementation of multiple enzymes for chemical production in a cell-free scenario is a promising field in biomanufacturing. Modular construction has been proposed as an effective approach to coordinate diverse enzymatic reactions. This review introduces the concept of multienzyme modules, categorizes recent developments, and discusses the modularization of multienzyme catalysis at the reactor level.
CHINESE JOURNAL OF CATALYSIS
(2022)
Article
Engineering, Electrical & Electronic
Chen Zhu, Wenxing Zhong
Summary: Modularization is an effective method for high-power wireless power transfer (WPT) by modifying the number of modules. However, the cross couplings among modules complicate power transfer paths, making it difficult to achieve stable output regulation. This article proposes a decoupling control method to compensate for the adverse effects of cross couplings, allowing individual output control for each module. A 7-kW two-module WPT prototype is built for experimental verification.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Federico Cecati, Rongwu Zhu, Marco Liserre, Xiongfei Wang
Summary: This article proposes a nonlinear grid model that can be used for equilibrium point computation and linearization for small-signal analyses, without the need for virtual resistor interconnection.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2022)
Article
Cell Biology
Jingru Zhou, Qiangqiang Ge, Dandan Wang, Qiong Guo, Yuyong Tao
Summary: This study developed a synthetic receptor system with dual control through the incorporation of two transmembrane helices, combined with a sensor-actuator device with minimal background signals and a positive loop circuit. The system can sensitively respond to extracellular protein signals and be readily adapted to different inputs and release customized outputs. It is promising for fundamental research and translational applications in cell engineering.
Article
Engineering, Electrical & Electronic
Albrecht Gensior, Hendrik Fehr
Summary: The study reveals a tradeoff between model accuracy and balancing speed inherent to the design of balancing control in modular multilevel converters. A three-step procedure is proposed to address the design of balancing feedback, supported by simulations and experimental results.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2021)
Article
Biotechnology & Applied Microbiology
Rosanna Young, Matthew Haines, Marko Storch, Paul S. Freemont
Summary: Synthetic Biology is a rapidly growing interdisciplinary field that considers living systems as programmable at the genetic level, defining new platform technologies and methodological advances. A key concept driving the field is the Design-Build Test-Learn cycle, which provides a systematic framework for building new biological systems, with a major application area being biosynthetic pathway engineering requiring modular assembly of genetic elements and enzymes.
METABOLIC ENGINEERING
(2021)
Article
Engineering, Environmental
Kegong Diao, Donghwi Jung, Raziyeh Farmani, Guangtao Fu, David Butler, Kevin Lansey
Summary: This study focuses on the interdependency among modules in water distribution systems, measuring and visualizing the impact of changes in one module on another. The research reveals that most modules have low interdependencies, with only a few critical modules significantly affecting others. Highly interconnected topologies do not necessarily result in strong and complex module interdependencies, which simplifies various analyses for practical applications in WDSs.
Article
Computer Science, Artificial Intelligence
Sanchez Benjamin, Rausch Christopher, Haas Carl
Summary: Current design approaches for buildings need to be expanded to adapt to changing conditions throughout the building's lifecycle. This study develops an innovative feature modeling approach using BIM to configure and adapt modular buildings. The method is validated through a functional demonstration, showing the benefits of accurately modeling specific design aspects and creating design alternatives.
ADVANCED ENGINEERING INFORMATICS
(2022)
Article
Chemistry, Multidisciplinary
Alessandro Alcinesio, Idil Cazimoglu, Gabriella Raye Kimmerly, Vanessa Restrepo Schild, Ravinash Krishna Kumar, Hagan Bayley
Summary: The authors applied modular design to construct modular synthetic tissues, assembling different functional 3D-printed building blocks for storing and releasing reagents, performing logic operations, responding to magnetic fields, and encapsulating living cells. They successfully built synthetic tissues capable of transmitting electrical signals and assembled hybrid tissues composed of both synthetic modules and modules containing living cells. By incorporating mutant protein nanopores within the building blocks, they created modular synthetic tissues with electrical outputs modulated by chemical inputs.
ADVANCED FUNCTIONAL MATERIALS
(2022)
Article
Physics, Multidisciplinary
Nehemiah T. Zewde, Rohaine V. Hsu, Dimitrios Morikis, Giulia Palermo
Summary: The complement system, an important defense mechanism against pathogens, can be hijacked by both complement deficiencies and invasive pathogens. A mathematical model was developed to study the interactions between complement and invading microbes, predicting complement imbalance in the nasopharynx associated with disruption to homeostasis. The model also suggests potential early infection biomarkers for sporadic meningococcal disease.
FRONTIERS IN PHYSICS
(2021)
Article
Biochemical Research Methods
Laszlo Mozsik, Carsten Pohl, Vera Meyer, Roel A. L. Bovenberg, Yvonne Nygard, Arnold J. M. Driessen
Summary: This paper presents a collection of 96 genetic parts that can be used in synthetic biology research in fungi, allowing for the assembly of complex multipartite components. It provides a standardized and modular approach for the rapid assembly of synthetic transcription units.
ACS SYNTHETIC BIOLOGY
(2021)
Article
Energy & Fuels
Qi Wu, Qiang Yao, Li Ding, Wei Pei, Wei Deng
Summary: This study focuses on the power supply capacity and stability of low-voltage DC integrated systems, models and evaluates a typical star structure, and analyzes the impact of master station position on hydrogen production capacity. The results indicate that the position of the master station has a significant effect on the system's hydrogen production capacity.
Article
Chemistry, Medicinal
Alejandro Santana-Bonilla, Raquel Lopez-Rios de Castro, Peike Sun, Robert M. Ziolek, Christian D. Lorenz
Summary: Machine learning methods offer the opportunity to design new functional materials on a large scale, but building diverse databases of molecules for training remains challenging. Automated computational chemistry modeling workflows are essential in this data-driven search for new materials, as they allow for the creation and curation of molecular databases with minimal user input, addressing concerns about data provenance and reproducibility. PySoftK is a versatile software package that provides flexible and automated workflows for creating, modeling, and curating polymer libraries, with features such as automatic generation of different polymer topologies and parallelized library generation tools. It is expected to support the discovery of functional materials in nanotechnology and biotechnology through the generation, modeling, and curation of large polymer libraries.
JOURNAL OF CHEMICAL INFORMATION AND MODELING
(2023)
Article
Chemistry, Multidisciplinary
Deyu Yi, Hengzhi Zhao, Jian Zhao, Lele Li
Summary: DNAzyme-based biosensor technology is developed for spatiotemporally controlled imaging of metal ions in mitochondria, overcoming the limitation of lack of subcellular precision. This technology allows for mitochondria-specific imaging of Zn2+ in living cells using optically activatable DNAzyme sensor and upconversion nanoparticles. The system is also applied for monitoring mitochondrial Zn2+ during drug treatment and assessing dynamic Zn2+ change and pharmacological interventions in cellular models. This method paves the way for investigating the pathophysiological roles of metal ions at the subcellular level using engineered DNAzyme sensors.
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
(2023)
