Combinatorial Synthesis of Genetic Networks
By C. Guet, Michael B. Elowitz, W. Hsing, Stanislas Leibler. Science, 2002
556 citations recorded by the source corpus.
Subfields: Molecular Biology
View Paper: https://www.semanticscholar.org/paper/b4a9253755ccf19038a06d0745fe4c2a65f1d54e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Molecular Biology
- Yaakov Benenson
- James J. Collins
- Ahmad S. Khalil
- Christopher A. Voigt
- Howard M. Salis
- Timothy K. Lu
- Jeff Hasty
- C. Bashor
Citations in the corpus
- Biomolecular computing systems: principles, progress and potential (2012, background): “Therefore, most experimental transcriptional circuits use one-or two-input universal gates 30,31,86–90 in parallel and in cascades to increase the total number of inputs (FIG.”
- Engineered gene circuits (2002, methodology): “Recently, a new approach involving 'combinatorial synthesis' was used to generate a myriad of logical gene circuit”
- DIVERSITY-BASED, MODEL-GUIDED CONSTRUCTION OF SYNTHETIC GENE NETWORKS WITH PREDICTED FUNCTIONS (2009, background): “A major focus of the field is the synthesis of gene networks with predictable behavio”
- Gaining confidence in high-throughput protein interaction networks (2004, background): “Merging proteomics with expression data Static network topology is not sufficient to define functio”
- Dynamic Properties of Network Motifs Contribute to Biological Network Organization (2005, background): “In addition, motifs with the same topology may give rise to different dynamic behaviors, as was recently demonstrated experimentally using small synthetic genetic circuits [20].”
- Proteomics: the first decade and beyond (2003, background): “In the short term, proteomics also can be expected to provide partial data sets of sufficient quality, density and information content to provide the basis for generating sophisticated mathematical models of biological processes that will be able to simulate system properties such as adaptation or r”
- A Synthetic Biology Framework for Programming Eukaryotic Transcription Functions (2012, background): “Engineering synthetic transcriptional networks has been a major focus of the field, and a variety of circuit behaviors have been implemented, including memory, oscillations, logic operations, filtering, and noise propagation (Basu et al., 2005; Becskei and Serrano, 2000; Elowitz and Leibler, 2000; F”