ライフサイエンスコーパス: metabolic engineering

1 considered for high-throughput screening in metabolic engineering.

2 n and regulation of high-producer strains in metabolic engineering.

3 truction, community functional analysis, and metabolic engineering.

4 ins may be needed for the ongoing efforts of metabolic engineering.

5 ns at the interface of synthetic biology and metabolic engineering.

6 ns of QS-regulation in synthetic biology and metabolic engineering.

7 ng gene sequencing for pathway discovery and metabolic engineering.

8 lux are therefore critical to the success of metabolic engineering.

9 x analysis, which is an emerging strategy in metabolic engineering.

10 The results have potential applications in metabolic engineering.

11 f genetic manipulation of C. reinhardtii for metabolic engineering.

12 main driver for innovations in the field of metabolic engineering.

13 ly of protein complexes, trait stacking, and metabolic engineering.

14 last biotechnology is a route for novel crop metabolic engineering.

15 ynthetic biology, developmental biology, and metabolic engineering.

16 an obstacle to progress in biotechnology and metabolic engineering.

17 r the future improvement of rice quality via metabolic engineering.

18 roduct, two common requirements in microbial metabolic engineering.

19 erate genetic transfers in biotechnology for metabolic engineering.

20 ynthesis that combines organic chemistry and metabolic engineering.

21 , target validation, protein production, and metabolic engineering.

22 ays as titratable expression systems and for metabolic engineering.

23 g plant productivity is an important aim for metabolic engineering.

24 production have been widely in use in modern metabolic engineering.

25 te the utilization of gene overexpression in metabolic engineering.

26 egulatory network, unveiling new targets for metabolic engineering.

27 ndulol and its derivatives in plants through metabolic engineering.

28 f applications including genome analysis and metabolic engineering.

29 f microorganisms, as well as informing their metabolic engineering.

30 he context of directed evolution and inverse metabolic engineering.

31 rast to their prominent success in microbial metabolic engineering.

32 arked contrast to their prominent success in metabolic engineering.

33 computational-based rational design of plant metabolic engineering.

34 ions as diverse as environmental sensing and metabolic engineering.

35 such as prediction of gene essentiality and metabolic engineering.

36 , analysis of phenotypic characteristics and metabolic engineering.

37 mall molecule is one of the primary goals in metabolic engineering.

38 the flux ordering has direct applications in metabolic engineering.

39 gning new biocatalysts for implementation by metabolic engineering.

40 Both have limitations for metabolic engineering.

41 ive colors make them an appealing target for metabolic engineering.

42 heterologous metabolic pathways for plastid metabolic engineering.

43 NMT enzymes for chemoenzymatic synthesis and metabolic engineering.

44 treamlines an arduous and complex process in metabolic engineering.

45 programmed to perform chemical synthesis via metabolic engineering.

46 ating this carbon-concentrating mechanism in metabolic engineering.

47 ned for applications in synthetic biology or metabolic engineering.

48 ctories, making them interesting targets for metabolic engineering.

49 valuable tool in both pathway discovery and metabolic engineering.

50 cs," provides data ideal for applications in metabolic engineering.

51 and grow with the rapidly changing field of metabolic engineering.

52 crop platforms and emerging technologies for metabolic engineering also hold promise for meeting glob

53 lators represent a largely untapped area for metabolic engineering and anti-bacterial development.

54 lexible and utilitarian chassis for advanced metabolic engineering and applied synthetic biology are

55 For different metabolic engineering and biotechnological applications,

56 C-MFA results with important applications in metabolic engineering and biotechnology.

57 including evaluation of network properties, metabolic engineering and drug discovery.

58 s essential for improving the reliability of metabolic engineering and genome editing in undomesticat

59 o systematize and revolutionize the field of metabolic engineering and industrial biotechnology.

60 folia genome is a valuable resource for both metabolic engineering and molecular breeding.

61 strate and product sets, which is useful for metabolic engineering and prediction of nutritional requ

62 eous and stable regulation of many genes for metabolic engineering and synthetic biology applications

63 A major challenge in metabolic engineering and synthetic biology is to balanc

64 Primarily used for metabolic engineering and synthetic biology, genome-scal

65 luable compounds is a promising approach for metabolic engineering and synthetic biology.

66 int-based modeling has enabled the fields of metabolic engineering and systems biology to make great

67 review the current status and challenges of metabolic engineering and will discuss how new technolog

68 ased access (e.g., via molecular breeding or metabolic engineering) and enable reverse genetic approa

69 orporation of multiple CYPs into diterpenoid metabolic engineering, and a continuing trend of CYP pro

70 Now, advances in bioreactor technology, metabolic engineering, and analytical instrumentation ar

71 ency in the context of synthetic biology and metabolic engineering, and points to a promising future

72 l regulatory component in synthetic biology, metabolic engineering, and protein production for labora

73 expression systems for proteins, protein and metabolic engineering, and rational techniques for immob

74 to recent developments in genome sequencing, metabolic engineering, and synthetic biology.

75 ning lignin chemical depolymerization, plant metabolic engineering, and synthetic pathway reconstruct

76 ble foundation for studies of gene function, metabolic engineering, and trait modification for crop i

77 ed the selection of genes to be modulated by metabolic engineering, and we demonstrate that the overe

78 and applying these methods to areas such as metabolic engineering, antibiotic design, and organismal

79 file of S. marcescens to provide insight for metabolic engineering applications and fundamental biolo

80 herein should be widely useful in a range of metabolic engineering applications in which essential en

81 le interest in exploiting bacterial MCPs for metabolic engineering applications, but little is known

82 onstrates the versatility of P. furiosus for metabolic engineering applications.

83 vity and potential utility of this mutant in metabolic engineering applications.

84 atory network and metabolic network to guide metabolic engineering applications.

85 s for the production of bulk chemicals via a metabolic engineering approach it is necessary to better

86 Metabolic engineering approaches are increasingly employ

87 In addition, metabolic engineering approaches for both the improvemen

88 ua but also may expedite innovation of novel metabolic engineering approaches for high and stable pro

89 tion in pure form, highlighting the need for metabolic engineering approaches for high-level Taxol pr

90 Therefore, numerous metabolic engineering approaches have been attempted to

91 on metabolism are currently known, hindering metabolic engineering approaches to enhance productivity

92 These technologies now enable metabolic engineering approaches to optimize production

93 Metabolic engineering approaches will help to improve pr

94 is review, recent advances regarding terpene metabolic engineering are highlighted, with a special fo

95 f analogous techniques in the field of plant metabolic engineering are still in their infancy.

96 ygenic trait, and identifies new avenues for metabolic engineering as well as for construction of non

97 The integration of synthetic biology with metabolic engineering at the community level is vital to

98 s review, we describe recent developments in metabolic engineering at the level of host, pathway, and

99 ar metabolism) is of particular interest for metabolic engineering because it describes how carbon an

100 In the last decade, metabolic engineering benefited greatly from systems and

101 is of major importance in guiding efforts in metabolic engineering, biotechnology, microbiology, huma

102 They hold great promise for metabolic engineering, but the behavior of plant metabol

103 perimental platform, we investigated whether metabolic engineering can be used to create syringyl lig

104 Plant genetics and metabolic engineering can be used to make foods that dif

105 To address challenges in metabolic engineering, computational strain optimization

106 Carotenoid metabolic engineering could enhance plant adaptation to

107 Our findings are relevant to metabolic engineering design and add to our understandin

108 and alleviates the primary bottleneck of the metabolic engineering design-build-test cycle.

109 that modeling is a valuable tool for guiding metabolic engineering efforts aimed at improving essenti

110 This study lays important groundwork for metabolic engineering efforts aimed at improving Taxol p

111 r results provide a roadmap for future plant metabolic engineering efforts aimed at increasing the va

112 This information will facilitate metabolic engineering efforts aimed at producing medicin

113 review, we elucidate the recent progress in metabolic engineering efforts for the microbial producti

114 y that is an excellent model for exploratory metabolic engineering efforts into pathway regulation an

115 ltiple sigma factors, effective execution of metabolic engineering efforts largely relies on uncoveri

116 ncorporation into computational modeling and metabolic engineering efforts promises to improve indust

117 ays of these compounds is a prerequisite for metabolic engineering efforts that will improve producti

118 Here, we review recent metabolic engineering efforts to maximize production of

119 ust complex traits is a key challenge facing metabolic engineering efforts to synthesize valuable pro

120 achine learning models to effectively direct metabolic engineering efforts.

121 r investigating cellular systems and guiding metabolic engineering efforts.

122 nutrients in crops, which can be achieved by metabolic engineering, either using natural variation or

123 Metabolic engineering enables natural product biosynthes

124 d in a variety of studies on drug discovery, metabolic engineering, evolution, and multi-species inte

125 An ideal target for metabolic engineering, fatty acid biosynthesis remains p

126 ethods may provide a powerful alternative to metabolic engineering for chemicals that are hard to pro

127 s gene constructs to evaluate the utility of metabolic engineering for improving essential oil yield

128 e addressed, at least in part, through plant metabolic engineering for nutritional improvement of foo

129 We argue that metabolic engineering for producing the secondary metabo

130 Metabolic engineering for the overproduction of high-val

131 chnology applications, such as combinatorial metabolic engineering for the overproduction of secreted

132 DSDs have applications in metabolic engineering for the production of valuable pro

133 Our study illustrates the utility of metabolic engineering for the sustainable agricultural p

134 cability of programmable protein switches to metabolic engineering for valuable chemicals production.

135 utility across multiple fields, for example metabolic engineering, growth phenotype simulation, and

136 Metabolic engineering has the potential to produce from

137 Although microbial metabolic engineering has traditionally relied on ration

138 o liquid biofuels (e.g., bioethanol) through metabolic engineering have demonstrated potential for se

139 Recent advances in metabolic engineering have demonstrated that microbial b

140 Recent advances in metabolic engineering have demonstrated the potential to

141 Synthetic biology and metabolic engineering have expanded the possibilities fo

142 re key constraints in strain optimization by metabolic engineering; however, how cellular noise impac

143 Multigene expression is required for metabolic engineering, i.e. coregulated expression of al

144 computational-based rational design of fish metabolic engineering in aquaculture.

145 will make it easier to predict the effect of metabolic engineering in cereals for nutritional improve

146 eflecting our optimization of the system for metabolic engineering in diverse organisms.

147 ools for enhancing bioactive productivity by metabolic engineering in microbes or by molecular breedi

148 ne function and modulate gene expression for metabolic engineering in microbes.

149 has been successfully applied as an aid for metabolic engineering in microorganisms.

150 Until recently, metabolic engineering in plants relied on the laborious

151 pathways are promising candidates for future metabolic engineering in R. opacus for improved lignin c

152 e have demonstrated the feasibility of using metabolic engineering in transgenic plants (Camelina sat

153 addresses commonly encountered obstacles in metabolic engineering, including chromosomal integration

154 s and possible future directions in betalain metabolic engineering, including expanding the chemical

155 lite repression, and is a frequent target of metabolic engineering interventions.

156 ory parts, fragmenting synthetic biology and metabolic engineering into host-specific domains.

157 Metabolic engineering is a powerful biotechnological too

158 Plant metabolic engineering is commonly used in the production

159 Plant and microbial metabolic engineering is commonly used in the production

160 A key computational problem in metabolic engineering is finding efficient metabolic rou

161 e increasing role of compartmentalization in metabolic engineering is highlighted.

162 Metabolic engineering is the science of rewiring the met

163 A common strategy of metabolic engineering is to increase the endogenous supp

164 The ultimate goal of metabolic engineering is to produce desired compounds on

165 applications in plant synthetic biology and metabolic engineering is understanding the structural de

166 including enzymatic assays, mutant analysis, metabolic engineering, isotope labeling and metabolic pr

167 work gap filling, (ii) (13)C analysis, (iii) metabolic engineering, (iv) omics-guided analysis and (v

168 es have only recently been extended to plant metabolic engineering, mainly due to greater pathway com

169 a and yeasts were established in a classical metabolic engineering manner over several decades.

170 Heterologous pathways used in metabolic engineering may produce intermediates toxic to

171 has important applications in fields such as metabolic engineering, metabolic network analysis and me

172 s integration of metabolism and development, metabolic engineering, microbial activity and drug resis

173 ain optimization called multivariate modular metabolic engineering (MMME).

174 mplexes could help inform new approaches for metabolic engineering, nanotechnology, and drug delivery

175 nformation on a plant FBP appears useful for metabolic engineering of a wide range of crops to enhanc

176 els of omega-7 FA accumulation by systematic metabolic engineering of Arabidopsis (Arabidopsis thalia

177 ith different tissues are fundamental to the metabolic engineering of artemisinin.

178 This review highlights recent advances in metabolic engineering of biofuel-synthesis pathways in E

179 ur results provide promising new targets for metabolic engineering of C5-yeasts and point to iron as

180 he regulatory control of carotenogenesis and metabolic engineering of carotenoids in light of plastid

181 An effective strategy was developed for the metabolic engineering of cell-surface GPIs and GPI-ancho

182 ion of cannabinoid inheritance to facilitate metabolic engineering of chemically elite germplasm.

183 onal enzyme, AbCAS is a promising target for metabolic engineering of cis-abienol production.

184 ew outlines the prospects of sigma factor in metabolic engineering of cyanobacteria, summarizes the c

185 ivery of artemisinin and other drugs through metabolic engineering of edible plants.

186 significantly expands the possibilities for metabolic engineering of GalOA production and valorizati

187 s have been completely sequenced, leading to metabolic engineering of high eicosapentaenoic acid prod

188 ing fed-batch feeding strategies with direct metabolic engineering of host cells.

189 Metabolic engineering of industrial Saccharomyces cerevi

190 Recent efforts have focused on metabolic engineering of lactic acid bacteria as they pr

191 lipid-recycling scheme opens new avenues for metabolic engineering of lipid composition in algae.

192 re emerging as promising alternatives to the metabolic engineering of living cells.

193 ave proven themselves to be powerful aids to metabolic engineering of microbes by providing quantitat

194 oded FRET-based nanosensor for methionine as metabolic engineering of microbial strains for the produ

195 Metabolic engineering of microorganisms for production o

196 Metabolic engineering of microorganisms such as Escheric

197 Metabolic engineering of microorganisms to produce desir

198 ant metabolism and opens the possibility for metabolic engineering of new compounds based on this sca

199 Recent progress in the metabolic engineering of nitrogen-containing plant natur

200 d in this species, indicating a strategy for metabolic engineering of novel antimicrobial compounds i

201 jQMM will facilitate the design and metabolic engineering of organisms for biofuels and othe

202 ctions using enzyme mixtures in vitro and of metabolic engineering of pathways in cells as factories

203 Metabolic engineering of plant carotenoids in food crops

204 ion to direct extraction, recent progress in metabolic engineering of plants offers an alternative su

205 Metabolic engineering of polyketide synthase (PKS) pathw

206 review the current status and potential for metabolic engineering of polyketides in E. coli.

207 nd plant hosts provided proof of concept for metabolic engineering of pseudolaratriene.

208 Here we report the metabolic engineering of Saccharomyces cerevisiae to pro

209 Further implications for metabolic engineering of seed oil production are discuss

210 rcane and form the baseline for the rational metabolic engineering of sugarcane feedstock for bioener

211 ctivation approach offers new strategies for metabolic engineering of terpenoid production.

212 Metabolic engineering of the carotenoid pathway in recen

213 Metabolic engineering of the oleaginous yeast Yarrowia l

214 hoped to assist in further manipulation and metabolic engineering of the parent F. solani strain tow

215 his work demonstrates the feasibility of the metabolic engineering of these insecticidal metabolites

216 approaches to the physiological analysis and metabolic engineering of this bacterium, and provide dir

217 furnish a molecular target for breeding and metabolic engineering of this important crop plant.

218 We are exploring MbA biosynthesis to enable metabolic engineering of this rare and valuable compound

219 streamlining and for more rapid and assured metabolic engineering of this versatile chassis organism

220 cted to be used as a prognostic platform for metabolic engineering of valuable natural products.

221 ultivated for food use, as hosts for complex metabolic engineering of wax esters for lubricant applic

222 terest for applications in synthetic biology/metabolic engineering, our results describe a new type o

223 Great strides have been made in plant metabolic engineering over the last two decades, with no

224 an be widely applied in future chloroplastic metabolic engineering, particularly for crop plants.

225 Metabolic engineering presents a powerful strategy to im

226 We evaluated the algorithm on five example metabolic-engineering problems from the literature; for

227 A significant challenge to most metabolic engineering projects is the need for strong co

228 For example, a fundamental question in most metabolic engineering projects is the optimal level of e

229 sets, as well as experimental data from real metabolic engineering projects producing renewable biofu

230 d be a valuable computational tool to assist metabolic engineering projects.

231 ve enabled a wide variety of applications in metabolic engineering, protein labeling, biomaterials co

232 Molecular evolution or metabolic engineering protocols can exploit substrate ch

233 a Delta12-desturase activity in our omega-3 metabolic engineering rationales for Camelina.

234 The metabolic engineering requires detailed knowledge of the

235 creasingly important for systems biology and metabolic engineering research as they are capable of si

236 tudies have become an essential component of metabolic engineering research.

237 Synthetic biology and metabolic engineering seek to re-engineer microbes into

238 Metabolic engineering seeks to reprogram microbial cells

239 bolic pathways of sweet basil and developing metabolic engineering strategies for enhanced production

240 oupling of enhanced F6P synthesis with other metabolic engineering strategies for the production of m

241 Several metabolic engineering strategies have been explored to p

242 Here, we use tandem metabolic engineering strategies to label endogenously o

243 Metabolic engineering strategies work at three levels: i

244 g S. cerevisiae through rational and inverse metabolic engineering strategies, comprising the optimiz

245 nal combination of conventional breeding and metabolic engineering strategies, should enable a leap f

246 scuss recent developments in knowledge-based metabolic engineering strategies, that is the gathering

247 uppression may be a useful component of seed metabolic engineering strategies.

248 ween elementary flux modes in glycolysis for metabolic engineering strategies.

249 ndition-specific investigations of in silico metabolic engineering strategies.

250 tions for the future design of comprehensive metabolic engineering strategies.

251 critical insight for future phenylpropanoid metabolic engineering strategies.

252 Here, we report a combinatorial metabolic engineering strategy based on an orthogonal tr

253 Here, we present the metabolic engineering strategy to assemble biosynthetic

254 In this work, we develop a metabolic engineering strategy to facilitate the labelin

255 Here we describe a metabolic engineering strategy to inhibit the biosynthes

256 so established the feasibility of fatty acid metabolic engineering strategy undertaken to improve qua

257 nechocystis sp. PCC 6803 systems biology and metabolic engineering studies.

258 of redox enzymes plays an important role in metabolic engineering, synthetic biology, and biocatalys

259 ity of redox enzymes is an important tool in metabolic engineering, synthetic biology, and biocatalys

260 ized by heterologous expression in a modular metabolic engineering system in Escherichia coli Members

261 Here, a modular metabolic engineering system is used in a combinatorial

262 te and malate at breaker stage to identify a metabolic engineering target that was subsequently teste

263 on the yeast surface by optimizing multiple metabolic engineering targets in a combinatorial manner.

264 We summarize here the current trends in metabolic engineering techniques and strategies for mani

265 to realize the full potential of new in vivo metabolic engineering technologies by bridging the gap b

266 In this review we discuss new approaches for metabolic engineering that have the potential to address

267 calculating metabolic fluxes, key targets in metabolic engineering, that incorporates data from 13C l

268 is a promising approach to a core problem of metabolic engineering-that of identifying genetic manipu

269 of gene expression is an important tool for metabolic engineering, the design of synthetic gene netw

270 imilar to approaches established long ago by Metabolic Engineering, the two methods deviate significa

271 gital and analog logic, systems biology, and metabolic engineering, three areas of particular theoret

272 will discuss how new technologies can enable metabolic engineering to be scaled up to the industrial

273 This study provides a new paradigm in metabolic engineering to control and optimize metabolic

274 re efficient use of biomass hydrolysates and metabolic engineering to develop bioconversions using LA

275 Here we apply metabolic engineering to generate Escherichia coli that

276 Metabolic engineering to increase yields of biofuel-rele

277 It is a routine task in metabolic engineering to introduce multicomponent pathwa

278 can be used in applications that range from metabolic engineering to orthogonal control of transcrip

279 odel may be used to guide strain designs for metabolic engineering to produce chemicals such as 2,3-b

280 yrethrins and demonstrate the feasibility of metabolic engineering to produce components of these def

281 We conclude that metabolic engineering to produce high yields of novel se

282 an edible plant and opens the door to using metabolic engineering to systematically quantify the imp

283 Hence, BIS1 might be a metabolic engineering tool to produce sustainably high-v

284 r the use of synthetic enzyme complexes as a metabolic engineering tool.

285 With the advent of metabolic engineering tools, the successful reconstituti

286 Metabolic engineering using Start-Stop Assembly was demo

287 rategies, folate biofortification of rice by metabolic engineering was successfully achieved a couple

288 To demonstrate biosensor utility in metabolic engineering, we apply the glucarate biosensor

289 n, via a combination of enzyme screening and metabolic engineering, we obtain a more than tenfold inc

290 lipid metabolism and its ability to adapt to metabolic engineering, we utilized a series of in vitro

291 multi-objective optimization in the field of metabolic engineering when both continuous and integer d

292 In the growing field of metabolic engineering, where cells are treated as 'facto

293 cells have, however, been used for in vitro metabolic engineering, where coordinated biochemical pat

294 omass and present an innovative strategy for metabolic engineering whereby an undesirable redox state

295 ms, and thus propose new approaches of plant metabolic engineering, which are inspired by an ancient

296 We propose that next-generation plant metabolic engineering will improve current engineering s

297 arget for biotechnological applications, but metabolic engineering will require an in-depth understan

298 Metabolic engineering with phage genes followed by rando

299 is study can be potentially used for reverse metabolic engineering, with the objective to construct e

300 greatest potential environmental benefit of metabolic engineering would be the production of high-vo