ライフサイエンスコーパス: system biology

1 in the canonical pathways specific to immune system biology.

2 ches in tackling complex problems in nervous system biology.

3 hods for various tasks in bioinformatics and system biology.

4 is well aligned with the future direction in system biology.

5 modeling and analysis techniques employed in systems biology.

6 interactions (PPIs) is a central problem in systems biology.

7 on prospective prediction using the tools of systems biology.

8 topology is one of the fundamental goals of systems biology.

9 cture and dynamics is of central interest in systems biology.

10 ng factors on cell receptors and subcellular systems biology.

11 is key to targeted phenotyping techniques in systems biology.

12 ts represents one of the grand challenges of Systems Biology.

13 ) analysis constitutes a fundamental tool in systems biology.

14 ome an important part of modern genomics and systems biology.

15 ations is a popular approach in the field of systems biology.

16 ematical models in biology is referred to as systems biology.

17 od to address key questions in developmental systems biology.

18 interactions (PPIs) is a central problem in systems biology.

19 undamental part of the scientific process in systems biology.

20 omplex problems of long-standing interest in systems biology.

21 s an important open problem in computational systems biology.

22 challenge for experimental and computational systems biology.

23 ulatory networks (GRNs) is a new frontier in systems biology.

24 teractions constitutes a major bottleneck in systems biology.

25 the most valuable, but challenging, tasks in systems biology.

26 underlie development is a major question for systems biology.

27 ome an important part of modern genomics and systems biology.

28 g specialized knowledge of bioinformatics or systems biology.

29 a is a huge algorithmic challenge for modern systems biology.

30 ations is a popular approach in the field of Systems Biology.

31 reeding, molecular biology, biochemistry and systems biology.

32 tegy to analyze 'omics' data in the field of systems biology.

33 d has been widely studied as a core motif in systems biology.

34 insights presents a significant challenge in systems biology.

35 y, medical informatics, cancer genomics, and systems biology.

36 etworks are routinely used for prediction in systems biology.

37 ecome a part of the routine data analysis in systems biology.

38 rocesses, as well as cell-scale processes in systems biology.

39 ways and their crosstalk is a cornerstone of systems biology.

40 Networks have become ubiquitous in systems biology.

41 on in silico, with promising applications in systems biology.

42 sion and interaction data is a major goal of systems biology.

43 of scientific exploration at the frontier of systems biology.

44 Cancer systems biology aims to understand cancer as an integrat

45 Systems biology analyses identified multiple functional

46 iew, we survey exciting results derived from systems biology analyses of the immune system, ranging f

47 ed comprehensive transcriptome profiling and systems biology analysis to interrogate the unique and o

48 systems theory has been used previously for systems biology analysis, the current work illustrates i

49 gene regulatory networks enabling full-scale systems biology analysis.

50 ene expression studies in conjunction with a systems biology analysis.

51 to overcome target-based bottlenecks through systems biology analytics, such as protein-protein inter

52 inating cellular pathway for central nervous system biology and disease.

53 models are the cornerstone of computational systems biology and a key objective of computational sys

54 Recent progress in plant systems biology and bioinformatics has begun to disentan

55 ntly advance both understanding of molecular systems biology and design of synthetic circuits.

56 basic research, genome analysis, modelling, systems biology and education.

57 uracy on numeric and real data examples from systems biology and epidemiology.

58 r metabolism is a major challenge in current systems biology and has triggered extensive metabolomics

59 advances in the fields of computational and systems biology and highlight opportunities for research

60 glected diseases, especially in the areas of systems biology and immunology; ecology, evolution, and

61 ntitative data-rich temporal experiments for systems biology and modeling approaches to better unders

62 ill be of great use to the wider biological, systems biology and modelling communities.

63 existing knowledge of COPD pathobiology, how systems biology and network medicine can improve underst

64 formation that existing technology provides (systems biology and network medicine) so diagnosis, stra

65 iverse networks holds enormous potential for systems biology and network pharmacology.

66 use of large linear and nonlinear models in systems biology and other applications involving multisc

67 s of the increasingly complex models used in systems biology and other areas.

68 table problem with important applications in systems biology and other domains.

69 They are expected to have a large effect on systems biology and personalized medicine approaches tha

70 d implicit role of the law of mass action in systems biology and reveals how the original, more gener

71 at integrate data from multiple experimental systems biology and structural biology sources.

72 ion of these circuits is a key topic of both systems biology and synthetic biology.

73 sed on the interdisciplinary field of cancer systems biology and the challenging cancer questions tha

74 e advent of different modeling formalisms in systems biology and their ability to be exchanged and re

75 "Big Data" has surpassed "systems biology" and "omics" as the hottest buzzword in

76 he perspectives of digital and analog logic, systems biology, and metabolic engineering, three areas

77 tion, gene regulatory networks, modeling and systems biology, and synthetic biology.

78 advances in genomics, molecular biology, and systems biology, and will continue to accelerate as acce

79 exist, but have so far rarely been tested in systems biology applications.

80 highlighting the importance of a structural system biology approach for predicting the effect of SAV

81 ought stress in sunflower plants, by using a system biology approach.

82 Our systems biology approach allowed identification of conve

83 its organization and architecture, we took a systems biology approach and performed a semi-high-throu

84 A systems biology approach based on the assembly and inter

85 We have used a systems biology approach based on whole-transcriptome ge

86 analysis demonstrates that the "multi-omics" systems biology approach can define the complex machiner

87 In addition, an integrated systems biology approach can rank safety and efficacy me

88 In this study, we adopted a systems biology approach employing proteomics (tandem ma

89 We therefore developed InFlo, a novel systems biology approach for characterizing complex biol

90 Furthermore, our systems biology approach has uncovered an antiapoptotic

91 cs, genetics, and other omics platforms in a systems biology approach holds potential for elucidating

92 Our novel integrated human/murine systems biology approach identified commonly dysregulate

93 issue of the JCI, Grimm and colleagues use a systems biology approach in mice lacking the kinase SPAK

94 he promise of high-throughput "-omics"-based systems biology approach in providing greater insight to

95 ate tumor growth and provides a framework of systems biology approach in studying tumor-related immun

96 Walsh et al. took a systems biology approach integrating computational, in v

97 Utilizing a systems biology approach integrating modeling and experi

98 rogeneity of asthma and allergic diseases, a systems biology approach is attractive, as it has the po

99 entering the era of personalized medicine, a systems biology approach merging the numerous clinical p

100 Our systems biology approach revealed that network dynamics

101 A systems biology approach reveals converging molecular me

102 both venous and arterial thrombosis, a Blood Systems Biology approach should provide metrics for rate

103 We used an integrated systems biology approach that combines RNA interference

104 Here, we used a systems biology approach to characterize the temperature

105 Here we use a systems biology approach to comprehensively assess the c

106 study, the authors use for the first time a systems biology approach to comprehensively evaluate cli

107 Here, we use a systems biology approach to construct a mathematical mod

108 ators of the immune system, and so we used a systems biology approach to construct an miRNA regulator

109 Here we utilized a systems biology approach to decipher the regulatory prin

110 ide transcriptomics analysis combined with a systems biology approach to determine the molecular sign

111 Here, we have used a graph theory-based systems biology approach to determine topological proper

112 Here we have used a systems biology approach to examine the interrelationshi

113 e thought to tackle this problem by taking a systems biology approach to identify candidate target ge

114 Our studies demonstrate a novel systems biology approach to identify functional signalin

115 We used a systems biology approach to identify host transcriptiona

116 le of disease on myelopoiesis, we utilized a systems biology approach to study development in liver-r

117 Here, we applied a systems biology approach to study immune responses in su

118 A systems biology approach using contemporary technologies

119 A systems biology approach was developed in tomato (Solanu

120 Here, a novel multi-tiered systems biology approach was used to predict metabolites

121 To address this challenge, a systems biology approach was used.

122 A systems biology approach was used.

123 Here, we used an interspecies systems biology approach with Caenorhabditis elegans and

124 e outline the limitations of the small-scale systems biology approach with examples from research int

125 stressors are being developed that require a systems biology approach with more biologically accurate

126 To gain insight into this we undertook a systems biology approach, aiming to generate a Boolean m

127 oRNA-124 (miR-124), determined with a tiered systems biology approach, is responsible for increased e

128 wth after injury, we applied a comprehensive systems biology approach, starting with gene expression

129 Using an integrative systems biology approach, we also revealed that M2 polar

130 Using a systems biology approach, we built a robust minimal comp

131 r a combination of three common POPs using a systems biology approach, which may link POP exposure to

132 and adverse events after severe trauma by a systems biology approach.

133 ticosteroid response in asthma using a novel systems biology approach.

134 l Acinetobacter strains using a genomics and systems biology approach.

135 -time protein-dendrimer interactions using a systems biology approach.

136 on sources was analysed, using an integrated systems biology approach.

137 We thus finally discuss the potential of systems-biology approach to predict its occurrence and t

138 about this plant, support the most advanced systems biology approaches among all land plants.

139 We conclude by discussing how systems biology approaches are a fruitful avenue for add

140 Systems biology approaches are helping to understand the

141 These systems biology approaches can be examined at different

142 Bioinformatics and systems biology approaches identified potential pathways

143 Recent studies using systems biology approaches in humans have revealed that

144 nformation that builds the basis for diverse systems biology approaches in neuroscience, from compara

145 Thus, genome-scale systems biology approaches rigorously identify a functio

146 oaches that identify key organism traits and systems biology approaches that integrate traditional ph

147 rgets; and (4) to further the development of systems biology approaches to decipher the molecular mec

148 Systems biology approaches to defining how signal transd

149 obiome, and metabolome, providing fodder for systems biology approaches to examine asthma and allergy

150 We used systems biology approaches to explore the alternative hy

151 We use systems biology approaches to identify a unique IPF prot

152 l and diseased human kidney samples and used systems biology approaches to identify potentially causa

153 more efficient molecular, computational, and systems biology approaches to risk assessment.

154 ated is the parallel growth in computational systems biology approaches toward these same problems-pa

155 In this Pulmonary Perspective, we discuss systems biology approaches, especially but not limited t

156 Using systems biology approaches, we describe herein the enhan

157 Using systems biology approaches, we report that deletion of t

158 metabolic modeling and other nowadays common systems biology approaches-allowed them to anticipate th

159 serial integrated metabolomic and proteomic systems biology approaches.

160 ia has not been characterized extensively by systems biology approaches.

161 These data were deconvoluted using three systems biology approaches: "Orbital-deconvolution" eluc

162 sing vaccination as a model perturbation and systems-biology approaches are beginning to provide a gl

163 Systems-biology approaches in immunology take various fo

164 In this review, the principles of systems biology are described, and two different types o

165 metagenomics, proteomics, metabolomics, and systems biology are providing a new emphasis in research

166 nt research of the use of exosomal miRNA and systems biology as therapeutic strategies for the damage

167 arch, especially the study on organism-level systems biology at multiple levels.

168 Using a systems biology-based approach to an assessment of 779 p

169 Here we report application of a Systems Biology-based approach to dissect functionality

170 xpanding and more comprehensive use of large systems biology-based datasets.

171 Here, we use a systems biology-based genome-scale model of metabolism a

172 Overall, we show that Systems Biology-based methods have great promise for fun

173 enome annotation, genome analysis, modeling, systems biology, basic research and education.

174 ogy that results from disrupting the complex systems biology between the kidney, skeleton, and cardio

175 Small-scale molecular systems biology, by which we mean the understanding of a

176 Advances in systems biology can be exploited to comprehensively unde

177 oles of quantitative proteomics in molecular systems biology, clinical research and personalized medi

178 ata, Operating procedures and Models for the Systems Biology community.

179 sets together, our system inferred the first systems-biology comprehensive dynamical model explaining

180 alance analysis (FBA), has become a standard systems-biology computational method to study cellular m

181 hus providing insight into the long-standing systems biology conundrum of how vascular invasion is co

182 This systems biology core proteome includes 212 genes not fou

183 s environmental and genetic backgrounds, the systems biology core proteome is significantly enriched

184 computational methodologies on a multilayer systems biology dataset composed of phosphoproteomics, t

185 al structural and functional features (i.e., systems biology) defines disease clustering (i.e., commo

186 y key fields in biology, including genomics, systems biology, development, medicine, evolution, ecolo

187 , immunology, metabolism, endocrinology, and systems biology discussed genetic and environmental dete

188 , evolutionary mechanisms, neurobiology, and systems biology each has its ancestry in developmental b

189 chemical systems are common in computational systems biology, especially in the realm of cellular sig

190 n of different genomics datasets in a global Systems Biology fashion presents a more productive avenu

191 Finally, the application of systems biology for analyzing global regulatory structur

192 Here we present the System Biology Format Converter (SBFC), which provide a

193 This work provides a systems biology framework for evaluating in vitro system

194 ociated (DRA) gene expressions by applying a systems biology framework to the Cancer Cell Line Encycl

195 red five novel plant defense players using a systems biology-fueled top-to-bottom approach and demons

196 directing towards biological methods such as systems biology, genetic engineering and bio-refining fo

197 A standard, named the Systems Biology Graphical Notation (SBGN), was recently

198 process these data and distill insights into systems biology has been an important part of the "big d

199 Systems biology has matured as a discipline, and its met

200 Recent work in ecology, climate, and systems biology has shown that slowing down of recovery

201 ematical models of metabolism from bacterial systems biology have proven their utility across multipl

202 Finally, systems biology identified unique metabolic versatility

203 The growing interest in systems biology in executable models and their analysis

204 l gene expression, epigenetic profiling, and systems biology in increasing our understanding of the m

205 used for large-scale comparative studies in systems biology, including proteomics, glycomics and met

206 We also discuss systems biology insights gleaned from the recent advance

207 tocols, interlink them in the context of the systems biology investigations that produced them, and t

208 Systems biology is an approach to understanding living s

209 Developmental systems biology is poised to exploit large-scale data fr

210 A major objective of systems biology is to organize molecular interactions as

211 A grand challenge of systems biology is to predict the kinetic responses of l

212 An important and yet challenging task in systems biology is to reconstruct cellular signaling sys

213 es our understanding of pathogenicity at the systems biology level and provides enticing prospects fo

214 olite identification, and data analysis at a systems biology level.

215 A community standard such as Systems Biology Markup Language (SBML) can serve as a ne

216 ficial pure Java programming library for the Systems Biology Markup Language (SBML) format, has evolv

217 how query results are converted back to the Systems Biology Markup Language (SBML) standard format.

218 ation and analysis of models expressed using Systems Biology Markup Language (SBML).

219 on system behaviour for models specified in Systems Biology Markup Language (SBML).

220 FBA (flux balance analysis), and supporting systems biology markup language and comma-separated valu

221 cific biochemical reactions from the curated systems biology markup language models contained in the

222 To help overcome this complexity, systems biology mathematical models have been generated

223 This knowledge can be obtained with systems biology/medicine approaches that account for the

224 Here, systems biology method of dynamics correlation network b

225 his complexity and adopting a combination of systems biology methods and integrated analyses to under

226 Application of systems biology methods identified 17 candidate MetS gen

227 then expand on the potential applications of systems biology methods to study complex systems, within

228 vity information which is now available from systems biology methods.

229 Here, we build on our previous systems biology model of VEGF transport and kinetics in

230 cterial diet provide a powerful interspecies systems biology model that facilitates the precise delin

231 s a theoretical foundation for circuit-based systems biology modeling.

232 Systems biology models are often characterised as either

233 Systems biology models can be used to test new hypothese

234 eful to analyse complex and high dimensional Systems Biology models.

235 In the era of systems biology, multi-target pharmacological strategies

236 Applying a systems biology network analysis approach to global gene

237 understanding of the functional genomics and systems biology of any process for any species.

238 nce insights into the structural biology and systems biology of cell signaling.

239 Moreover, it contributes to the systems biology of natural variation, as a substantial n

240 orts spread across Europe were combined with systems biology (omics, IgE measurement using microarray

241 ferentiation/development, tumorigenesis, and systems biology on a global, genome-wide level.

242 clustering approach taken from genomics and systems biology on two large independent cognitive datas

243 This work provided a systems biology perspective on understanding the antibio

244 tomics and proteomics of tick tissues from a systems-biology perspective and discuss future challenge

245 By integrating the systems biology perspectives with the classical disease

246 ity and has potential applications including systems biology, pharmacology, cancer diagnosis and stem

247 Lynx is a web-based integrated systems biology platform that supports annotation and an

248 g the past decade, with its breakthroughs in systems biology, precision medicine (PM) has emerged as

249 Modern systems biology requires extensive, carefully curated me

250 es a complex immune response that requires a systems biology research approach.

251 A big challenge in current systems biology research arises when different types of

252 ccessible repository for storing and sharing systems biology research assets.

253 hms and computational framework will harness systems biology research because they efficiently transl

254 ecules produced within Metabolomics or other Systems Biology research contexts.

255 ome these limitations would fill the void in systems biology research, catalyze clinical innovations,

256 ty between formats is a recurring problem in systems biology research.

257 Trait Loci) datasets facilitate genetics and systems biology research.

258 GPCRs, so far underappreciated receptors in systems-biology research.

259 ity makes CauloBrowser a unique and valuable systems biology resource.

260 Systems biology rests on the idea that biological comple

261 enetics, robustness is also a key feature in systems biology, resulting from nonlinearities in quanti

262 ummarizing each pattern and for constructing systems biology simulations of cell behaviors.

263 For our searches, we used proprietary systems biology software (MetaCore/MetaDrug) to conduct

264 rmulated in terms of a well-known concept in systems biology, statistics, and control theory-that of

265 Our approach promotes a comprehensive systems biology strategy for the exploitation of high-th

266 abolism, BiGG Models will facilitate diverse systems biology studies and support knowledge-based anal

267 Recently, systems biology studies have produced rich collections o

268 ptome and fetal gene program will facilitate systems biology studies of dilated cardiomyopathy in zeb

269 ic resolving methods are facilitating unique systems biology studies of heterocellular communication.

270 Recent efforts in systems biology studies of infectious diseases have resu

271 ing the reproducibility and impact of cancer systems biology studies will require widespread method a

272 torage and analytic problems for large-scale systems biology studies.

273 Systems-biology studies indicate that signaling networks

274 ative (ENEG) hepatitis phases-we performed a systems biology study.

275 rtance of heterocellular communication, most systems biology techniques do not report cell-specific s

276 nt developments in metabolic phenotyping and systems biology technologies and how these methodologies

277 chemistry, biochemistry, biomathematics, and systems biology that is difficult to overestimate.

278 tractable problem in molecular and cellular systems biology; the sequence of structural changes in s

279 ic dynamical models such as those studied in systems biology there is currently a great need for both

280 c, epigenetic, and endophenotype traits with systems biology to annotate genetic variants, and to fac

281 become one of the most challenging tasks in systems biology to automatically identify protein comple

282 , and highlight one potential application of systems biology to drug discovery and translational medi

283 ene-trap insertional mutagenesis testing and systems biology to identify new antiviral targets and dr

284 bled the fields of metabolic engineering and systems biology to make great strides in interrogating c

285 diators of epithelial dysfunction using both systems biology tools and causality-driven laboratory ex

286 Systems biology tools should be used to integrate and in

287 h-dimensional data and computation - defines systems biology, typically accompanied by some notion of

288 rk of a series of challenges designed by the systems biology verification for Industrial Methodology

289 sbv IMPROVER (systems biology verification for Industrial Methodology

290 set enrichment as part of the sbv IMPROVER (systems biology verification in Industrial Methodology f

291 Taking a systems biology view we show how genetic and epigenetic

292 th profiles will contribute to more accurate systems biology views of asthma and allergy.

293 tailed serology, advanced FACS analysis, and systems biology, we discovered that aged subjects develo

294 applications in digital microfluidics and in systems biology where the kinetics response in the linea

295 eveloping a true understanding via molecular systems biology will require a fundamental rethinking of

296 ng can combine the advances in synthetic and systems biology with current cellular hosts to further p

297 e pathogenesis of MetS and demonstrates that systems biology with high-throughput sequencing is a pow

298 is an important and widely used algorithm in systems biology, with applications in protein function p

299 We need a holistic approach offered by systems biology, with integration of information on the

300 nstrate how EnsembleFBA can be included in a systems biology workflow by predicting essential genes i