Abstract | ||
---|---|---|
Success in synthetic biology depends on the efficient construction of robust genetic circuitry. However, even the direct engineering of the simplest genetic elements (switches, logic gates) is a challenge and involves intense lab work. As the complexity of biological circuits grows, it becomes more complicated and less fruitful to rely on the rational design paradigm, because it demands many time-... |
Year | DOI | Venue |
---|---|---|
2015 | 10.1162/ARTL_a_00160 | Artificial Life |
Keywords | Field | DocType |
Directed evolution,dual selection,Boolean genetic circuits,toxin-antitoxin systems,conjugation,individual-based models (IBM),bacterial simulator | Logic gate,Boolean circuit,Computer science,Robustness (computer science),Artificial intelligence,Synthetic biological circuit,Rational design,Machine learning,Directed evolution,Synthetic biology,Scalability | Journal |
Volume | Issue | ISSN |
21 | 2 | 1064-5462 |
Citations | PageRank | References |
2 | 0.58 | 3 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
David Beneš | 1 | 2 | 0.92 |
P. Sosik | 2 | 33 | 3.82 |
Alfonso Rodríguez-Patón | 3 | 435 | 51.44 |