AI Article Synopsis
- Cantone et al. (2009) published a paper in Cell detailing their work on a small synthetic gene regulatory network they created in yeast.
- Their research combines concepts from both systems biology, which studies interactions within biological systems, and synthetic biology, which focuses on designing and engineering new biological parts.
- The results of their study contribute to the understanding of gene regulation and could have implications for biotechnology applications.
Article Abstract
In their new Cell paper, Cantone et al. (2009) present exciting results on constructing and utilizing a small synthetic gene regulatory network in yeast that draws from two rapidly developing fields of systems and synthetic biology.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.chembiol.2009.03.004 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Estimating the distribution of parameters in differential equations with repeated cross-sectional data.
PLoS Comput Biol
December 2024
Department of Mathematics & Graduate School of AI, Pohang University of Science and Technology, Pohang, Republic of Korea.
Differential equations are pivotal in modeling and understanding the dynamics of various systems, as they offer insights into their future states through parameter estimation fitted to time series data. In fields such as economy, politics, and biology, the observation data points in the time series are often independently obtained (i.e.
View Article and Find Full Text PDFEstimating the time-varying effective reproduction number via Cycle Threshold-based Transformer.
PLoS Comput Biol
December 2024
College of Computer Science, Sichuan University, Chengdu, China.
Monitoring the spread of infectious disease is essential to design and adjust the interventions timely for the prevention of the epidemic outbreak and safeguarding the public health. The governments have generally adopted the incidence-based statistical method to estimate the time-varying effective reproduction number Rt and evaluate the transmission ability of epidemics. However, this method exhibits biases arising from the reported incidence data and assumes the generation interval distribution which is not available at the early stage of epidemic.
View Article and Find Full Text PDFDC algorithm for estimation of sparse Gaussian graphical models.
PLoS One
December 2024
Institute of Systems and Information Engineering, University of Tsukuba, Tsukuba, Ibaraki, Japan.
Sparse estimation of a Gaussian graphical model (GGM) is an important technique for making relationships between observed variables more interpretable. Various methods have been proposed for sparse GGM estimation, including the graphical lasso that uses the ℓ1 norm regularization term, and other methods that use nonconvex regularization terms. Most of these methods approximate the ℓ0 (pseudo) norm by more tractable functions; however, to estimate more accurate solutions, it is preferable to directly use the ℓ0 norm for counting the number of nonzero elements.
View Article and Find Full Text PDFObjective: Aim: To find out the problems of the harmonization of the criminal legislation of the certain continental law countries to ensure the protection of the circulation of medicinal products.
Patients And Methods: Materials and Methods: This study is based on the analysis of the international legal acts, in particular, the Directives of the EU, as well as Medicrime Convention, national acts of criminal legislation of the certain continental law countries (Germany, Austria, Switzerland, Ukraine, etc.), national judicial practice, data on the number of criminal proceedings in the courts of Ukraine, criminal and medical law legal doctrine (38 normative legal acts and 15 court judgments), data of the Office of the Prosecutor General of Ukraine.
Identification and Health Risks of an Emerging Means of Drug Use in Correctional Facilities.
JAMA Netw Open
December 2024
Department of Emergency Medicine, Emory University, Atlanta, Georgia.
Importance: Recreational use of drug-soaked paper strips (hereafter, strips) in correctional facilities poses a major public health risk owing to the diverse and potentially severe toxic effects of the substances they contain. Understanding the clinical manifestations and outcomes of exposure to these strips is important for developing effective management and prevention strategies.
Objective: To characterize the clinical manifestations, management, and outcomes of intoxication from strips in a correctional facility population, and to identify the specific substances present in these strips.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!