FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2159724748> ?p ?o ?g. }

• W2159724748 abstract "Abstract Background Microbial hosts offer a number of unique advantages when used as production systems for both native and heterologous small-molecules. These advantages include high selectivity and benign environmental impact; however, a principal drawback is low yield and/or productivity, which limits economic viability. Therefore a major challenge in developing a microbial production system is to maximize formation of a specific product while sustaining cell growth. Tools to rationally reconfigure microbial metabolism for these potentially conflicting objectives remain limited. Exhaustively exploring combinations of genetic modifications is both experimentally and computationally inefficient, and can become intractable when multiple gene deletions or insertions need to be considered. Alternatively, the search for desirable gene modifications may be solved heuristically as an evolutionary optimization problem. In this study, we combine a genetic algorithm and elementary mode analysis to develop an optimization framework for evolving metabolic networks with energetically favorable pathways for production of both biomass and a compound of interest. Results Utilization of thermodynamically-weighted elementary modes for flux reconstruction of E. coli central metabolism revealed two clusters of EMs with respect to their Δ G p °. For proof of principle testing, the algorithm was applied to ethanol and lycopene production in E. coli . The algorithm was used to optimize product formation, biomass formation, and product and biomass formation simultaneously. Predicted knockouts often matched those that have previously been implemented experimentally for improved product formation. The performance of a multi-objective genetic algorithm showed that it is better to couple the two objectives in a single objective genetic algorithm. Conclusion A computationally tractable framework is presented for the redesign of metabolic networks for maximal product formation combining elementary mode analysis (a form of convex analysis), pathway thermodynamics, and a genetic algorithm to optimize the production of two industrially-relevant products, ethanol and lycopene, from E. coli . The designed algorithm can be applied to any small-scale model of cellular metabolism theoretically utilizing any substrate and applied towards the production of any product." @default.
• W2159724748 created "2016-06-24" @default.
• W2159724748 creator A5045370658 @default.
• W2159724748 creator A5076791162 @default.
• W2159724748 creator A5079480513 @default.
• W2159724748 creator A5087420269 @default.
• W2159724748 date "2010-04-23" @default.
• W2159724748 modified "2023-10-12" @default.
• W2159724748 title "Utilizing elementary mode analysis, pathway thermodynamics, and a genetic algorithm for metabolic flux determination and optimal metabolic network design" @default.
• W2159724748 cites W1501815954 @default.
• W2159724748 cites W1502529406 @default.
• W2159724748 cites W1504423416 @default.
• W2159724748 cites W1504523189 @default.
• W2159724748 cites W1536226251 @default.
• W2159724748 cites W1581582023 @default.
• W2159724748 cites W1597762351 @default.
• W2159724748 cites W1606784130 @default.
• W2159724748 cites W1621975707 @default.
• W2159724748 cites W1758395617 @default.
• W2159724748 cites W1969983517 @default.
• W2159724748 cites W1970556744 @default.
• W2159724748 cites W1978119727 @default.
• W2159724748 cites W1978802080 @default.
• W2159724748 cites W1981668065 @default.
• W2159724748 cites W1982309495 @default.
• W2159724748 cites W1982346730 @default.
• W2159724748 cites W1983120620 @default.
• W2159724748 cites W1992306474 @default.
• W2159724748 cites W1994134392 @default.
• W2159724748 cites W2006672203 @default.
• W2159724748 cites W2009570758 @default.
• W2159724748 cites W2009990638 @default.
• W2159724748 cites W2011728117 @default.
• W2159724748 cites W2016577330 @default.
• W2159724748 cites W2018994057 @default.
• W2159724748 cites W2023158791 @default.
• W2159724748 cites W2025729416 @default.
• W2159724748 cites W2027955923 @default.
• W2159724748 cites W2028681077 @default.
• W2159724748 cites W2039679384 @default.
• W2159724748 cites W2041631919 @default.
• W2159724748 cites W2042067428 @default.
• W2159724748 cites W2044783595 @default.
• W2159724748 cites W2045167474 @default.
• W2159724748 cites W2049322319 @default.
• W2159724748 cites W2054201845 @default.
• W2159724748 cites W2055088522 @default.
• W2159724748 cites W2056305771 @default.
• W2159724748 cites W2056568341 @default.
• W2159724748 cites W2058867396 @default.
• W2159724748 cites W2062042850 @default.
• W2159724748 cites W2063533285 @default.
• W2159724748 cites W2064876011 @default.
• W2159724748 cites W2065163714 @default.
• W2159724748 cites W2066089342 @default.
• W2159724748 cites W2067278945 @default.
• W2159724748 cites W2068490496 @default.
• W2159724748 cites W2072042166 @default.
• W2159724748 cites W2072361216 @default.
• W2159724748 cites W2076592452 @default.
• W2159724748 cites W2076839808 @default.
• W2159724748 cites W2079619772 @default.
• W2159724748 cites W2083693802 @default.
• W2159724748 cites W2088099835 @default.
• W2159724748 cites W2092205568 @default.
• W2159724748 cites W2094216282 @default.
• W2159724748 cites W2100195325 @default.
• W2159724748 cites W2100818174 @default.
• W2159724748 cites W2102164505 @default.
• W2159724748 cites W2106840138 @default.
• W2159724748 cites W2107333582 @default.
• W2159724748 cites W2109918485 @default.
• W2159724748 cites W2110355460 @default.
• W2159724748 cites W2111421616 @default.
• W2159724748 cites W2115437893 @default.
• W2159724748 cites W2116324021 @default.
• W2159724748 cites W2120590006 @default.
• W2159724748 cites W2123945540 @default.
• W2159724748 cites W2124758943 @default.
• W2159724748 cites W2126175129 @default.
• W2159724748 cites W2126176298 @default.
• W2159724748 cites W2127767489 @default.
• W2159724748 cites W2127844534 @default.
• W2159724748 cites W2128746754 @default.
• W2159724748 cites W2130364940 @default.
• W2159724748 cites W2131178894 @default.
• W2159724748 cites W2134153749 @default.
• W2159724748 cites W2134783465 @default.
• W2159724748 cites W2134981469 @default.
• W2159724748 cites W2140055375 @default.
• W2159724748 cites W2140825380 @default.
• W2159724748 cites W2143861551 @default.
• W2159724748 cites W2153930194 @default.
• W2159724748 cites W2154767435 @default.
• W2159724748 cites W2154797402 @default.
• W2159724748 cites W2158069895 @default.
• W2159724748 cites W2160675272 @default.
• W2159724748 cites W2163799837 @default.
• W2159724748 cites W2167909188 @default.
• W2159724748 doi "https://doi.org/10.1186/1752-0509-4-49" @default.

• next