ライフサイエンスコーパス: biological system

1 tance of spatial patterning in a subcellular biological system.

2 along with the networks at each layer of the biological system.

3 late it for controlled interactions with the biological system.

4 a modeling approach when examining a complex biological system.

5 of small RNAs (<200 nucleotide length) of a biological system.

6 interest, and/or genetic manipulation of the biological system.

7 future efforts to interrogate this important biological system.

8 GO annotations into an integrated model of a biological system.

9 inetic parameter detection of the underlying biological system.

10 curcumin was a scale-free, extremely linked biological system.

11 iquitous in nature and hard-wired into every biological system.

12 nts as naturally occurring perturbation of a biological system.

13 for a full mechanistic understanding of the biological system.

14 paradigm shift related to recent findings in biological systems.

15 n placed on the similarities between the two biological systems.

16 re many minutes for a sufficient response in biological systems.

17 he synthesis of diverse glycan structures in biological systems.

18 ional coherences in functional materials and biological systems.

19 rk modularity, a substrate for adaptation in biological systems.

20 nvaluable tool for probing the metabolism of biological systems.

21 ic devices, which are designed to operate in biological systems.

22 crease the reliability of a diverse range of biological systems.

23 nderestimation of the impact of the clock on biological systems.

24 fundamental for evaluating their efficacy in biological systems.

25 of investigation is the most complex of all biological systems.

26 of anthropogenic global temperature rise on biological systems.

27 brium processes in both living and synthetic biological systems.

28 Robustness is a prominent feature of most biological systems.

29 the complex diversity of glycan linkages in biological systems.

30 and molecular analysis of smaller assembled biological systems.

31 twork of interactions both within and across biological systems.

32 ting consequences for structure formation in biological systems.

33 ative stress evaluation in cell cultures and biological systems.

34 g force in molecular recognition, notably in biological systems.

35 derlying quantitative principles that govern biological systems.

36 mportant post-translational modifications in biological systems.

37 t the atropselective partitioning of PCBs in biological systems.

38 making fluid motion visible in physical and biological systems.

39 omic composition and comprise interdependent biological systems.

40 understanding of the role of metabolites in biological systems.

41 l as the real-time imaging of amino acids in biological systems.

42 mples provides valuable insight into complex biological systems.

43 g treatment and the performance of synthetic biological systems.

44 re accurate forecasts of the future state of biological systems.

45 responsive behaviors demonstrated by natural biological systems.

46 on usually lead to a deeper understanding of biological systems.

47 pass the immense diversity and complexity of biological systems.

48 rk based approaches for our understanding of biological systems.

49 hing and implementing other simple rules for biological systems.

50 vidence of accelerated aging across multiple biological systems.

51 ecular evolution and our ability to engineer biological systems.

52 ntext-specific behavior occurs in non-neural biological systems.

53 te and test hypotheses about the behavior of biological systems.

54 peptide assemblies and their applications in biological systems.

55 pects and preferential targets of (1)O(2) in biological systems.

56 predictions and may be more appropriate for biological systems.

57 or genome regulatory studies in a variety of biological systems.

58 d temporal scales in physical, chemical, and biological systems.

59 ools for exploring the properties of complex biological systems.

60 n data across almost all known dimensions of biological systems.

61 n demand has proven to be a valuable tool in biological systems.

62 e these chemically diverse molecules play in biological systems.

63 mportant bonding motif in supramolecules and biological systems.

64 allenging to apply NMR spectroscopy to large biological systems.

65 cedented opportunities to understand complex biological systems.

66 asingly used to examine and modulate complex biological systems.

67 al cells providing new insights into complex biological systems.

68 predict mechanisms of drug action in complex biological systems.

69 s, which will help provide new insights into biological systems.

70 instrumental in our understanding of complex biological systems.

71 contributing to bioaccessibility in complex biological systems.

72 of MP folding with the nuanced complexity of biological systems.

73 ectures in single cells of several important biological systems.

74 ciples, and to infer governing mechanisms of biological systems.

75 tiple chemical compounds interact to perturb biological systems.

76 O(2) is best exemplified by heme centers in biological systems.

77 sure dopamine and other neurotransmitters in biological systems.

78 not yet a triggering method compatible with biological systems.

79 s mediated by methyllysine are ubiquitous in biological systems.

80 s been shown to be toxic to a broad range of biological systems.

81 urfaces are used to both stimulate and sense biological systems.

82 the role of this gaseous molecule in complex biological systems.

83 meabilized cells, it does not work in intact biological systems.

84 teractions, in a broad range of chemical and biological systems.

85 anes in the analysis of swelling dynamics of biological systems.

86 onfirm that stress has an impact on multiple biological systems.

87 d a key component in the structuring of many biological systems.

88 ts parameters or other components present in biological systems.

89 an improved understanding of a wide range of biological systems.

90 t layers of interaction in models of complex biological systems.

91 pressure, contributing to volume changes in biological systems.

92 cular mechanism and allosteric regulation of biological systems.

93 not be invaded by natural DNA/RNA in complex biological systems.

94 ol for high-resolution structural studies of biological systems.

95 ion and collective behaviours reminiscent of biological systems.

96 precise identification of oxidants formed in biological systems.

97 works to create a wide range of functions in biological systems.

98 patterns are ubiquitous in both physical and biological systems.

99 ng enzymes involved was found to vary across biological systems.

100 les that perform critical signaling roles in biological systems.

101 ole in the chemistry of condensed matter and biological systems.

102 ffer clear advantages for imaging of various biological systems.

103 a natural phenomenon that is inherent to all biological systems(1,2).

104 can occur concomitantly in a single complex biological system: a membrane-active peptide inserted wi

105 s for Dominic Mai was incorrect: "Center for Biological Systems Analysis (ZBSA), Albert-Ludwigs-Unive

106 d have been "Life Imaging Center, Center for Biological Systems Analysis, Albert-Ludwigs-University,

107 AR domain, and SH3 domain could exist in the biological system and that these components may act in c

108 Nanospaces are ubiquitous in the realm of biological systems and are of significant interest among

109 localisation of RNA and proteins in various biological systems and contexts and provides open access

110 urate spatial arrangement of active sites in biological systems and cooperation between them for high

111 lobal identification of RNA-editing sites in biological systems and disease.

112 an exponentially increasing knowledge about biological systems and has become the main driver for in

113 teach us about the fundamental principles of biological systems and how they are built.

114 We formulate these biological systems and integrate them into a cohesive mo

115 illustrate the utility of network theory in biological systems and investigate modern techniques whi

116 eave these bonds are being identified across biological systems and life forms and have been shown to

117 gical data to explore the global behavior of biological systems and the global consistency between ex

118 Here, we review empirical evidence across biological systems and theoretical expectations, includi

119 ectroscopy to address the full complexity of biological systems and to tackle fundamental challenges

120 Fatty acids are ubiquitous in biological systems and widely used in materials science,

121 that our approach will be applicable to many biological systems and will contribute towards facilitat

122 Self-assembly is a fundamental feature of biological systems, and control of such processes offers

123 talyst design, the trafficking of TM ions in biological systems, and drug design in metalloprotein pl

124 can be broadly applied to dynamic models of biological systems, and enables the implementation of so

125 have identified gaps in our understanding of biological systems, and have revealed ways to optimize c

126 ontrolling transport and barrier function in biological systems, and its properties can be significan

127 l membranes is a fundamental process in many biological systems, and much experimental and theoretica

128 he nervous system is one of the most complex biological systems, and nervous system disease (NSD) is

129 microbiota and the brain involving multiple biological systems, and possible contributions by the gu

130 ing the capacity for the characterization of biological systems, and researchers are now poised for a

131 ques are a useful tool for analyzing complex biological systems, and there is a need for accessible,

132 and neural representations in artificial and biological systems, and we highlight new research questi

133 his paper is that the dynamic changes of the biological system are related to the clinical response.

134 Biological systems are acknowledged to be robust to pert

135 Many biological systems are altered in association with postt

136 Biological systems are characterised by a high degree of

137 Biological systems are composed of countless interlockin

138 Biological systems are inherently complex, and the incre

139 Biological systems are made up of components that change

140 about how complex traits evolve and whether biological systems are modular or are organized such tha

141 Biological systems are spatially organized.

142 Synthetic biological systems are used for a myriad of applications

143 als, such as organic conjugated polymers and biological systems, are characterized by strong coupling

144 ia the utilization of materials derived from biological systems as catalysts to catalyze the redox re

145 y an overview of the use of these systems in biological systems as putative treatments for diseases s

146 ture is important in studies of chemical and biological systems as reaction kinetics are almost unive

147 chemical and environmental perturbations on biological systems, as well as searching single cell GES

148 and ultrasensitive manner appropriate to the biological system at hand.

149 level insights into conformationally dynamic biological systems at experimentally relevant time resol

150 While bet hedging is common in biological systems at the organism level, our results sh

151 s in proteomics and large-scale profiling of biological systems at the protein level necessitates the

152 erful approach to modeling the structures of biological systems based on data produced by multiple ex

153 genious phenomenon observed in nature and in biological systems but has seen very few practical appli

154 sing this problem in the context of specific biological systems, but a general and sufficiently effec

155 ltrafast dynamics of physical, chemical, and biological systems, but only a handful of wavelengths ar

156 layers play a key role in many technical and biological systems, but our understanding of these struc

157 of representing the internalstructure of the biological system by the mathematical structure of the D

158 This weakness is overcome in modern biological systems by kinetic control, but this need not

159 terization of nitrogen metabolism in complex biological systems by NMR.

160 sed chemotactic systems when interfaced with biological systems can act as transporters to move cargo

161 Physical models of biological systems can become difficult to interpret whe

162 Biological systems can perform complex tasks with high c

163 Naturally occurring biological systems can utilize a variety of carbon sourc

164 ough entrance to post Bragg peak in a single biological system, CHO and xrs5 cells were cultured in T

165 Seeds are complex biological systems comprising three genetically distinct

166 Biological systems consist of a variety of distinct cell

167 Despite the prevalence of chirality in biological systems, controlling biomaterial chirality to

168 Across biological systems, cooperativity between proteins enabl

169 olecular mechanisms and functions in complex biological systems currently remain elusive.

170 encies suggest a nuanced view of pleiotropy: biological systems demonstrate limited pleiotropy in any

171 Living biological systems display a fascinating ability to self

172 ificial systems might learn sequentially, as biological systems do, from a continuous stream of corre

173 ur in vitro study on the dynamic response of biological systems due to mechanical impact is a crucial

174 d need to match the performance of a healthy biological system (e.g. the pancreas).

175 d standards to encode mathematical models of biological systems enabling reproducibility and reuse, t

176 e in the bulk solvent, a process that mimics biological systems except for the use of nonbiological s

177 Biological systems exhibit strikingly sophisticated prop

178 f precursors, are also of great interest, as biological systems exhibit this behavior.

179 ill tend to mix until they reach equilibrium-biological systems frequently exhibit organization that

180 used to discover the underlying dynamics of biological systems from sparse experimental data.

181 alytical tool to observe and quantify native biological systems from the micro- to the nanoscale.

182 and validate dLight1 in increasingly intact biological systems, from cultured cells to acute brain s

183 ation of biochemical processes underlies all biological systems, from the organelle to the tissue sca

184 dentify when systemic qualitative changes in biological systems happen, thus opening the possibility

185 rafficking, and storage of these elements in biological systems has informed and will continue to pro

186 ues of the physical sciences to the study of biological systems has led to remarkable insights into t

187 The amalgamation of flexible electronics in biological systems has shaped the way health and medicin

188 biquity of oxygen in organic, inorganic, and biological systems has stimulated the application and de

189 ior of those elements not typically found in biological systems, has led to a promising array of emer

190 Recent advances in engineering complex biological systems have been fueled by opportunities ari

191 Biological systems have evolved biochemical, electrical,

192 When nanoparticles are introduced into biological systems, host proteins tend to associate on t

193 In complex biological systems however, this can yield highly overla

194 tructure and function of proteins in complex biological systems; however, protein solubility and samp

195 of heat evolution in a range of chemical and biological systems in a completely noninvasive manner.

196 be attributed to a differential role of such biological systems in somatic versus cognitive-affective

197 ionally relevant conformational processes in biological systems in the kilohertz regime at physiologi

198 s advanced our knowledge and exploitation of biological systems in the last decade.

199 the underlying mechanisms of many important biological systems in their most native states.

200 Biological systems, in particular, are inherently variab

201 Native biological systems include living tissues, cells, and ce

202 ions in the analysis of swelling dynamics of biological systems, including cells and subcellular orga

203 e explore possible applications to different biological systems, including human diseases (e.g., brai

204 validate ChromA on multiple technologies and biological systems, including mouse and human immune cel

205 bes and the immune system takes place in all biological systems, including the human body, but this i

206 s of polyamines promote longevity in various biological systems, including yeast, Drosophila, and mur

207 ersity and continue to explore how different biological systems interact in the context of stress and

208 ure that any mathematical formulation of the biological system is led primarily by scientific questio

209 Signal amplification in biological systems is achieved by cooperatively recruiti

210 The complexity of biological systems is encoded in gene regulatory network

211 ts clinical relevance, delivery of H(2) S to biological systems is hampered by its toxicity at high c

212 balance between plasticity and robustness in biological systems is important to allow adaptation whil

213 Switch-like behavior of biological systems is realized through biochemical react

214 face properties so that the interaction with biological systems is regulated to minimize toxicity for

215 he physicochemical and microbial features in biological systems is scarce, questioning the validity o

216 A ubiquitous structural feature in biological systems is texture in extracellular matrix th

217 One of the most intriguing features of biological systems is their ability to regulate the stea

218 localized and delocalized binding to various biological systems is used to gain insight into cation o

219 itrosyl complexes are implicated in numerous biological systems, isolable examples remain limited.

220 mming matter to function in ways not seen in biological systems, it is necessary to understand how mo

221 In biological systems, large and complex structures are oft

222 nd rhythm information.SIGNIFICANCE STATEMENT Biological systems like the brain encode their environme

223 l modelling is well established in informing biological systems, many models are often informed by da

224 tructural diversity of DNA and suggests that biological systems may harbor many functionally importan

225 activity, and its application in additional biological systems may reveal new signaling paradigms in

226 ify the complete set of metabolites within a biological system, most commonly by liquid chromatograph

227 riety of electron transfer (ET) reactions in biological systems occurs at short distances and is ultr

228 to understanding higher-order molecular and biological systems of disease.

229 s improved the predictability of engineering biological systems of which nonlinearity and stochastici

230 be used to resolve small mass differences of biological systems on a QTOF platform; however, a laser

231 ly in the deep brain but, in general, in any biological system or organ in which light collection is

232 comprehensive measurement of lipids within a biological system or substrate, is an emerging field wit

233 an understanding of their function in, e.g., biological systems or biomedical applications.

234 However, in biological systems outputs might feed back into inputs d

235 polyvalent experimental platform to engineer biological systems outside living organisms.

236 In biological systems, Pb mimics calcium and, among other e

237 employed to predict the phenotype of various biological systems pertaining to healthcare and bioengin

238 of the brain with the inherent noisiness of biological systems, previous work examined signal integr

239 Biological systems provide attractive reactivity bluepri

240 ommonly added as supplements to a variety of biological systems ranging from cell cultures to animal

241 hensive phosphoproteomic coverage in complex biological systems remains challenging, especially for h

242 ogramming of splicing patterns in engineered biological systems remains underused.

243 Understanding complex biological systems requires the system-wide characteriza

244 ostery and cooperativity between subunits in biological systems responsible for glutamate signaling.

245 distinct loss-of-function approaches in two biological systems reveal that prom proteins are critica

246 ons, including neuroscience, network design, biological systems, socio-economics, and chemical reacti

247 When exposed to mechanical impact, a biological system such as the human skin, brain, or live

248 idely used for studying dynamic processes in biological systems such as protein-protein interactions

249 e investigations of key questions in complex biological systems such as the central nervous system.

250 calable molecular phenotyping of large-scale biological systems, such as human organs.

251 s proved to be modifiable; by intervening in biological systems, such as nutrient sensing, cellular s

252 l and functional complexity of multicellular biological systems, such as the brain, are beyond the re

253 iques to define the architectures of complex biological systems, such as those involving weak interac

254 seq) is a powerful tool for studying complex biological systems, such as tumor heterogeneity and tiss

255 e involved in the structural organization of biological systems, such topological defects were never

256 Biological systems tailor their properties and behavior

257 ffective, and environment-friendly prototype biological system that is potentially capable of copper

258 ensuring good quality research, even within biological systems that aren't always amenable to many o

259 der emerges from the complex interactions of biological systems that span genes and molecules through

260 owerful strategy to characterize proteins in biological systems, the analysis of endogenous membrane

261 cell-to-cell ATP differences observed across biological systems, the influence of energy availability

262 Similarly to many biological systems, the studied materials exhibit a coup

263 pplications of gold nanoparticles (AuNPs) in biological systems, there is a great need for an improve

264 In biological systems, these fascinating molecules are resp

265 Cooperative behavior emerges in biological systems through coordinated actions among ind

266 propose that NP627 may also be used in other biological systems to better understand the impact of ca

267 Self-assembly is widely used by biological systems to build functional nanostructures, s

268 s as a result of the failure of compensatory biological systems to cope with infection, resulting in

269 le the interaction between psychological and biological systems to identify genomic regions relevant

270 que functionalities in contexts ranging from biological systems to synthetic materials.

271 and weak affinity interactions found in many biological systems typically only perturb fast-exchangin

272 s to the emerging behaviour of the described biological system under different conditions.

273 d chemically characterize molecular and cell biological systems under physiological conditions.

274 on their location and distribution within a biological system, under varying conditions, is necessar

275 ations of droplet levitation to chemical and biological systems use nondestructive optical techniques

276 Biological systems use post-translational modifications

277 rovide more accurate theoretical accounts of biological systems, use of increasingly complex computat

278 g novel methodological tools that refine the biological systems we target.

279 nsile and compressive strains across diverse biological systems where forces guide structure and func

280 Chirality is ubiquitous within biological systems where many of the roles and functions

281 We demonstrate this approach for four biological systems where short-lived states are of high

282 d related properties of PS-rich membranes in biological systems where Zn(2+) concentrations are asymm

283 Epistasis occurs due to nonlinearity in biological systems, which can arise via cellular process

284 miscibility may be a very general feature in biological systems, which could be exploited to design s

285 o monitor the flux of metabolic reactions in biological systems, which is crucial to understand homeo

286 Antagonistic interactions in biological systems, which occur when one perturbation bl

287 tions of protein densities and kinetics than biological systems whose excitability is apparently more

288 ring and structurally diverse metabolites in biological system, whose potentials for chemical expansi

289 bacterial genetic engineering to generate a biological system with an application for the accumulati

290 romise for imaging function in nanoscale and biological systems with atomic resolution.

291 etween static and dynamic representations of biological systems with CaSQ, a software tool that infer

292 steine (Hcy), and cysteine (Cys), coexist in biological systems with diverse biological roles.

293 Remote and minimally-invasive modulation of biological systems with light has transformed modern bio

294 and biomolecules enabled the integration of biological systems with nanometer sized structures.

295 ogy, a field where scientists seek to design biological systems with predictable behavior, may provid

296 d that enables the study and manipulation of biological systems with probes whose reactivities provid

297 It is especially suitable for biological systems with stochastic and nonlinear dynamic

298 ssed on synthetic reconstructions of complex biological systems with the goal of predictable rational

299 integrative modeling was applied to various biological systems, with a focus on large protein comple

300 ctivity-a prerequisite for understanding how biological systems work-has been limited to discontinuou