Matches in SemOpenAlex for { <https://semopenalex.org/work/W2000700701> ?p ?o ?g. }
- W2000700701 endingPage "745" @default.
- W2000700701 startingPage "735" @default.
- W2000700701 abstract "Molecular programming allows for the bottom-up engineering of biochemical reaction networks in a controlled in vitro setting. These engineered biochemical reaction networks yield important insight in the design principles of biological systems and can potentially enrich molecular diagnostic systems. The DNA polymerase–nickase–exonuclease (PEN) toolbox has recently been used to program oscillatory and bistable biochemical networks using a minimal number of components. Previous work has reported the automatic construction of in silico descriptions of biochemical networks derived from the PEN toolbox, paving the way for generating networks of arbitrary size and complexity in vitro. Here, we report an automated approach that further bridges the gap between an in silico description and in vitro realization. A biochemical network of arbitrary complexity can be globally screened for parameter values that display the desired function and combining this approach with robustness analysis further increases the chance of successful in vitro implementation. Moreover, we present an automated design procedure for generating optimal DNA sequences, exhibiting key characteristics deduced from the in silico analysis. Our in silico method has been tested on a previously reported network, the Oligator, and has also been applied to the design of a reaction network capable of displaying adaptation in one of its components. Finally, we experimentally characterize unproductive sequestration of the exonuclease to phosphorothioate protected ssDNA strands. The strong nonlinearities in the degradation of active components caused by this unintended cross-coupling are shown computationally to have a positive effect on adaptation quality." @default.
- W2000700701 created "2016-06-24" @default.
- W2000700701 creator A5009252326 @default.
- W2000700701 creator A5029632144 @default.
- W2000700701 creator A5048268997 @default.
- W2000700701 creator A5054155955 @default.
- W2000700701 creator A5062702222 @default.
- W2000700701 creator A5063543149 @default.
- W2000700701 creator A5068154289 @default.
- W2000700701 creator A5068345962 @default.
- W2000700701 creator A5077512722 @default.
- W2000700701 creator A5090582053 @default.
- W2000700701 date "2014-11-10" @default.
- W2000700701 modified "2023-10-17" @default.
- W2000700701 title "Automated Design of Programmable Enzyme-Driven DNA Circuits" @default.
- W2000700701 cites W1483093256 @default.
- W2000700701 cites W1568106481 @default.
- W2000700701 cites W1645305843 @default.
- W2000700701 cites W1963611162 @default.
- W2000700701 cites W1964850787 @default.
- W2000700701 cites W1964947431 @default.
- W2000700701 cites W1974028960 @default.
- W2000700701 cites W1974347855 @default.
- W2000700701 cites W1975379503 @default.
- W2000700701 cites W1975963879 @default.
- W2000700701 cites W1976836654 @default.
- W2000700701 cites W1976865287 @default.
- W2000700701 cites W1977089550 @default.
- W2000700701 cites W1978641328 @default.
- W2000700701 cites W1980301976 @default.
- W2000700701 cites W1989020100 @default.
- W2000700701 cites W1990476699 @default.
- W2000700701 cites W2000804241 @default.
- W2000700701 cites W2007104039 @default.
- W2000700701 cites W2008626444 @default.
- W2000700701 cites W2009131449 @default.
- W2000700701 cites W2013164796 @default.
- W2000700701 cites W2013533966 @default.
- W2000700701 cites W2014918426 @default.
- W2000700701 cites W2020191911 @default.
- W2000700701 cites W2024060531 @default.
- W2000700701 cites W2024696581 @default.
- W2000700701 cites W2030945597 @default.
- W2000700701 cites W2038125628 @default.
- W2000700701 cites W2049311792 @default.
- W2000700701 cites W2049648266 @default.
- W2000700701 cites W2052212572 @default.
- W2000700701 cites W2053783019 @default.
- W2000700701 cites W2061425021 @default.
- W2000700701 cites W2067860136 @default.
- W2000700701 cites W2075166928 @default.
- W2000700701 cites W2075455603 @default.
- W2000700701 cites W2081534232 @default.
- W2000700701 cites W2099090468 @default.
- W2000700701 cites W2099915788 @default.
- W2000700701 cites W2103053013 @default.
- W2000700701 cites W2108407690 @default.
- W2000700701 cites W2108903561 @default.
- W2000700701 cites W2111759547 @default.
- W2000700701 cites W2112005387 @default.
- W2000700701 cites W2117056464 @default.
- W2000700701 cites W2123834061 @default.
- W2000700701 cites W2123973944 @default.
- W2000700701 cites W2124425296 @default.
- W2000700701 cites W2127641960 @default.
- W2000700701 cites W2133403209 @default.
- W2000700701 cites W2134759932 @default.
- W2000700701 cites W2135326887 @default.
- W2000700701 cites W2139771289 @default.
- W2000700701 cites W2149526286 @default.
- W2000700701 cites W2150859192 @default.
- W2000700701 cites W2157807652 @default.
- W2000700701 cites W2162647894 @default.
- W2000700701 cites W2166499263 @default.
- W2000700701 cites W2166751342 @default.
- W2000700701 cites W2324786322 @default.
- W2000700701 cites W2951809490 @default.
- W2000700701 cites W3101679208 @default.
- W2000700701 cites W3103022050 @default.
- W2000700701 cites W4235033012 @default.
- W2000700701 cites W4243676002 @default.
- W2000700701 cites W65890940 @default.
- W2000700701 doi "https://doi.org/10.1021/sb500300d" @default.
- W2000700701 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/25365785" @default.
- W2000700701 hasPublicationYear "2014" @default.
- W2000700701 type Work @default.
- W2000700701 sameAs 2000700701 @default.
- W2000700701 citedByCount "18" @default.
- W2000700701 countsByYear W20007007012015 @default.
- W2000700701 countsByYear W20007007012016 @default.
- W2000700701 countsByYear W20007007012017 @default.
- W2000700701 countsByYear W20007007012018 @default.
- W2000700701 countsByYear W20007007012019 @default.
- W2000700701 countsByYear W20007007012020 @default.
- W2000700701 countsByYear W20007007012021 @default.
- W2000700701 countsByYear W20007007012022 @default.
- W2000700701 countsByYear W20007007012023 @default.
- W2000700701 crossrefType "journal-article" @default.