ライフサイエンスコーパス: biological system

1 tringency inside the mouth by mimicking this biological system.

2 link between complexity and criticality in a biological system.

3 y of the hierarchy of functions encoding any biological system.

4 nics help us to explore quantum processes in biological system.

5 ocus has been on particle design and not the biological system.

6 f dynamic behavior of gene regulation in the biological system.

7 ructures or excitation transfer in a complex biological system.

8 ransduce a fate-switching signal within this biological system.

9 ng about their extent and causes for any one biological system.

10 tiple challenging conditions observed in the biological system.

11 rategies could be widely applicable to other biological systems.

12 stablished tool for studying the dynamics of biological systems.

13 2-5-linked RNAs play important roles in many biological systems.

14 of (17)O as a probe for structure studies of biological systems.

15 nsducing and amplifying the ionic signals in biological systems.

16 specific transcriptomes derived from complex biological systems.

17 al roles in maintaining redox homeostasis in biological systems.

18 sure and evaluate the electrical activity of biological systems.

19 tative analysis of lysine residues in native biological systems.

20 between regulatory or signalling elements in biological systems.

21 ding nutrient flow processes in more diverse biological systems.

22 manipulate the fate of molecules in complex biological systems.

23 ey issue for the study of drug metabolism in biological systems.

24 nown compounds from cancer studies and other biological systems.

25 anticipated to be applicable to a number of biological systems.

26 tivity and feedback control are hallmarks of biological systems.

27 atterning, clustering and oligomerization in biological systems.

28 is of peptides in both natural and synthetic biological systems.

29 rning is a major goal for the engineering of biological systems.

30 o augment the exploration of a wide range of biological systems.

31 ties of these cross-links in biochemical and biological systems.

32 noscale systems ranging from nanomachines to biological systems.

33 tate our understanding of the role of BMP in biological systems.

34 lucidating intricate interactions in complex biological systems.

35 inescent nanoprobes with oligonucleotides in biological systems.

36 are broadly applicable to studies of dynamic biological systems.

37 Islands provide classic model biological systems.

38 y occurs at low Reynolds number in fluidized biological systems.

39 in situ, single-cell readout across diverse biological systems.

40 al polymers, polymer blends, composites, and biological systems.

41 due to the only trace amounts of fluorine in biological systems.

42 parable to those of Zn-containing enzymes in biological systems.

43 of prominent reports regarding magnetism in biological systems.

44 ing to their significant applications in the biological systems.

45 help scientists achieve deeper insight into biological systems.

46 ausal relationships of functional motions in biological systems.

47 ing framework to represent the complexity of biological systems.

48 NO2BF4 in hydrophobic environment, mimicking biological systems.

49 emperature, are compatible with proteins and biological systems.

50 ould therefore be ideal for interfacing with biological systems.

51 sts can lead to applications in chemical and biological systems.

52 characterizing atomic-resolution dynamics in biological systems.

53 tions of synthetic RNA devices in engineered biological systems.

54 ining the intracellular flux distribution of biological systems.

55 ductance at the low voltages that operate in biological systems.

56 pirical landscapes representing nine diverse biological systems.

57 l species implicated in diverse chemical and biological systems.

58 y uncover underlying principles of plants as biological systems.

59 essful integrative structural elucidation of biological systems.

60 Multiple-objective optimization is common in biological systems.

61 rucial to understanding how they function in biological systems.

62 for the spatiotemporal precision observed in biological systems.

63 t can illuminate protein functions in native biological systems.

64 plex heterogeneous architectures inspired by biological systems.

65 ential components of devices interfaced with biological systems.

66 nd facilitate unprecedented interrogation of biological systems.

67 the developed methodology to a wide class of biological systems.

68 le approach for improving the performance of biological systems.

69 try-sensitive protein gradients in synthetic biological systems.

70 h catalyse a multitude of redox reactions in biological systems.

71 cognizes multidirectional transactions among biological systems.

72 from one structure to another is key to many biological systems.

73 s real-world applicability in electronic and biological systems.

74 communication networks in a wide spectrum of biological systems.

75 ng challenging problems, particularly in the biological systems.

76 er in non-equilibrium physical, chemical and biological systems.

77 lations to investigate functional motions in biological systems.

78 works for the design and characterization of biological systems.

79 ses as well as more effective engineering of biological systems.

80 ight on the interaction between SiO2 NPs and biological systems.

81 high-resolution imaging of biomaterials and biological systems.

82 mic subunits and their interactions found in biological systems.

83 of ionising radiation dose and its effect on biological systems.

84 etween multiple species may be widespread in biological systems.

85 trategy for understanding dual nanostructure-biological systems.

86 ted questions about metal ion preferences in biological systems.

87 regulated and dynamic lipid modification in biological systems.

88 ired to understand cellular heterogeneity in biological systems.

89 ells is fundamental to understanding complex biological systems.

90 plications for controllable drug delivery in biological systems.

91 interactions, and subsequently delivered to biological systems.

92 be useful in the study of a wide variety of biological systems.

93 void ambiguities in the source of effects on biological systems.

94 predicting system performance in engineered biological systems.

95 Reversible glycosylation is also dynamic in biological systems.

96 nt of tools for the interrogation of complex biological systems.

97 protein associations affect the phenotype of biological systems.

98 r understanding of the role of metal ions in biological systems.

99 nderstanding interactions within complicated biological systems.

100 terface between synthetic nanostructures and biological systems.

101 harness the chemical energy available inside biological systems.

102 o mimic lock-and-key actions seen in in vivo biological systems.

103 litating precise and reliable measurement in biological systems.

104 When dealing with complex biological systems, a two-class classification is often

105 udy of additional characteristics of complex biological systems across millions of cells.

106 er within and surrounding the structure of a biological system adopts context-specific dynamics that

107 A variety of biological systems affect apical end points used in regu

108 similarities with chiral supramolecular and biological systems also emerged.

109 that frustration is often minimal in evolved biological systems although nonnative possibilities are

110 zenes), miscellaneous inorganic ligands, and biological systems (amino acids, peptides, sugars, nucle

111 gation of cation-pi interactions in numerous biological systems, among them, proteins and their myria

112 ying mathematical and physical principles to biological systems, an approach that is becoming increas

113 oach against BmNPV infection in a real-world biological system and demonstrate the potential of trans

114 ild a mathematical model that represents the biological system and to quantitatively define the model

115 osine triphosphate (ATP), the energy unit in biological systems and an indicator of vital processes.

116 s inspired by the evolution of robustness in biological systems and by randomized schemes for convex

117 Many imaging applications that target biological systems and complex materials use hard X-ray

118 ical context and can be adapted to different biological systems and conditions.

119 romachines that lie at the interface between biological systems and engineered devices.

120 systems and have been extensively studied in biological systems and for AOP applications.

121 n IR and Raman band ratios used for studying biological systems and for disease diagnosis and treatme

122 iting can be used to rapidly dissect complex biological systems and genetic redundancy in microbial s

123 rences with photochemical processes in other biological systems and in dyes are also discussed.

124 non may have a wide range of implications in biological systems and in the design of self-assembled f

125 gene prioritization, comparative analysis of biological systems and prediction of new interactions.

126 on process somehow mimicking what happens in biological systems and protein receptors.

127 was discovered as a third gasotransmitter in biological systems and recent years have seen a growing

128 underlying mechanisms may be shared by some biological systems and synthetic active droplets.

129 d refinement to the model to reflect diverse biological systems and tissue types will further improve

130 ble now to obtain comprehensive views of the biological systems and to study large patient cohorts in

131 among the most important building blocks of biological systems, and a full understanding of its func

132 nanoscale features in organic, inorganic and biological systems, and also to improve both the reprodu

133 anisms and the constraints these impose on a biological system are accounted for.

134 Many biological systems are appropriately viewed as passive i

135 nelle networks is critical to understand how biological systems are built and why they might collapse

136 Biological systems are complex and challenging to model

137 Unlike conventional inorganic materials, biological systems are exquisitely adapted to respond to

138 Biological systems are frequently categorized as complex

139 Biological systems are increasingly being studied by hig

140 l understanding of how desired properties of biological systems are related to their hierarchical arc

141 Biological systems are subject to inherent stochasticity

142 nship between robustness and evolvability in biological systems as different as RNA macromolecules an

143 ers that are attractive photosensitizers for biological systems as they are water-soluble, photostabl

144 l and multimaterial systems including living biological systems as well as life-like synthetic system

145 bled "cross" architectures are well-known in biological systems (as illustrated by chromosomes, for e

146 from the increased structural complexity of biological systems, as supported by theoretical CS sampl

147 current approaches are designed to analyze a biological system assuming that each pathway is independ

148 t can be made into polymer matrices to mimic biological systems at a molecular level.

149 ral details for proton transfer reactions in biological systems at a truly atomic level.

150 ur ability to extract quantitative data from biological systems at an unprecedented scale and resolut

151 al ingredient, central to the functioning of biological systems at multiple levels.

152 nthetic nanomaterials interact with critical biological systems before such products can be safely ut

153 s software will be of great use to the wider biological, systems biology and modelling communities.

154 es on the developments of these complexes in biological systems, both in cells and in vivo, and hopes

155 Metalloporphyrins not only are vital in biological systems but also are valuable catalysts in or

156 gin of this selectivity has been explored in biological systems but has not yet been investigated wit

157 matopoiesis is one of the best characterized biological systems but the connection between chromatin

158 eterogeneity is an important feature of many biological systems, but introduces technical challenges

159 he genetic material, are solved elegantly in biological systems by the encapsulation of nucleic acids

160 wledged that a functional understanding of a biological system can only be obtained by an understandi

161 Dynamic changes in biological systems can be captured by measuring molecula

162 Accurate structural models of biological systems can be obtained by properly combining

163 Biological systems can generate microstructured material

164 nce of complex hidden confounding effects in biological systems can make mediation analyses challengi

165 te how gene co-expression analysis of intact biological systems can provide insights into the transcr

166 The regulation of iron metabolism in biological systems centers on providing adequate iron fo

167 (EPR) is being applied to ever more complex biological systems comprising multiple subunits.

168 sistently out-perform MspI digestion in many biological systems, considering both CpG and CHG context

169 at magnetic fields can be used to manipulate biological systems contradict some basic laws of physics

170 The Chemical Effects in Biological Systems database (CEBS) is a comprehensive an

171 certain analyte, but an overall effect on a biological system (e.g. toxicity, quality indices, prove

172 It is easily adaptable to other biological systems, e.g. HIV, malaria and cancer, where

173 Essential biological systems employ self-correcting mechanisms to

174 of signal processing that occurs in natural biological systems, engineered microbes have the potenti

175 ress and broad application of these tools in biological systems, especially in vivo, over the next ye

176 ive element and can have negative effects on biological systems even at moderate amounts.

177 These insights are also relevant to other biological systems evolving under strong linkage and hig

178 t also revealed novel insights regarding the biological systems examined, which were not uncovered in

179 However, biological systems exist in a complicated three-dimensio

180 bolsters the cross-species continuity of the biological system for numerical abilities.

181 more, the approach can be generalized to any biological system for which noisy RNA-Seq profiles are c

182 sic functions that are widely implemented in biological systems for a variety of purposes such as sig

183 attracted much attention as alternatives to biological systems for examining collective microscopic

184 and persist in the environment for weeks and biological systems for up to 12 h.

185 Yet the true study of complete biological systems (for example, metabolism) was not pos

186 e suggests how complex dynamics may arise in biological systems from elements whose combination need

187 otivating and equipping efforts to construct biological systems from the bottom up.

188 , and often much cheaper ways to interrogate biological systems from the level of single molecules up

189 interface between nanoelectronics and living biological systems, from single cells to live animals, i

190 nanoparticles affect their interaction with biological systems: from single cells to whole organisms

191 s appropriate at the lower flight speed of a biological system, given its presumably higher error and

192 The inherent complexity of biological systems gives rise to complicated mechanistic

193 ge that is disjointed from the complexity of biological systems governed by elaborate networks.

194 in relation to the structure and function of biological systems has been investigated at multiple sca

195 The ability to experimentally perturb biological systems has traditionally been limited to sta

196 of potentially all small molecules within a biological system, has become a valuable tool for biomar

197 experimental approach to investigate complex biological systems, has significantly contributed to our

198 Biomimetic models of these biological systems have been developed to gain understan

199 On Earth, biological systems have evolved in response to environme

200 Natural biological systems have evolved mechanisms to overcome i

201 Biological systems have evolved to harness non-equilibri

202 Biological systems have evolved to utilize numerous prot

203 metabolism and biomass is very important in biological systems; however, to date there has been no q

204 We apply qVRI to a selection of biological systems: human pluripotent stem cells with th

205 subjective and do not identify the specific biological systems impacted by external stressors.

206 les, unveiling a new degree of complexity in biological systems in aqueous environments.

207 or modular and hierarchical networks such as biological systems in general and cancer in particular.

208 have contributed vastly to our knowledge of biological systems in health and disease to date; howeve

209 ation of TBK1 in a myriad of additional cell biological systems in normal and pathophysiologic contex

210 nt role in analyzing the behavior of complex biological systems in response to the implantation of bi

211 Fluorescent imaging of biological systems in the second near-infrared window (N

212 analysis that enables studies of challenging biological systems in their unadulterated mother liquor.

213 e an important tool for the investigation of biological systems in three dimensions.

214 ncreasingly exploited to assemble biofidelic biological systems in vitro.

215 y, as well as the direct implementation into biological systems in vivo for signal transduction.

216 Self-healing is a capacity observed in most biological systems in which the healing processes are au

217 e approach can be applied to a wide range of biological systems, including human subjects.

218 ory for surface patterning in many different biological systems, including mite and insect cuticles,

219 Biological systems interact with nanostructured material

220 In biological systems, intercellular communication is media

221 m ion is one of the most abundant cations in biological systems, involved in numerous physiological a

222 The investigation of biological systems involving all organs of the body incl

223 Engineering biological systems is a complex undertaking requiring a

224 Hydration of metalated biological systems is also included along with selected

225 The application of flow visualization in biological systems is becoming increasingly common in st

226 A powerful way of gaining insight into biological systems is by creating a nonlinear differenti

227 me stressor and the impact of its absence on biological systems is ill-defined.

228 Production of public goods in biological systems is often a collaborative effort that

229 One of the most fascinating features of biological systems is the ability to sustain high accura

230 While silver ion release from AgNPs in biological systems is well known, limited investigations

231 Although perfected in biological systems like microtubules, this class of asse

232 However, as biological systems maintain homeostasis at the level of

233 Inspired by biological systems, many biomimetic methods suggest fabr

234 f early adversity on multiple and integrated biological systems mediated by the brain.

235 nds of small-molecule metabolites in diverse biological systems, metabolomics now offers the potentia

236 To understand how molecules function in biological systems, new methods are required to obtain a

237 run buffers while DNA-ligand interactions in biological systems occur in physiological fluids, charac

238 nstructive signal for the prepatterning of a biological system of exuberant diversity and illustrate

239 ) systems represent a minimal and ubiquitous biological system of self/non-self discrimination in pro

240 a surprising number of studies show that the biological systems of animals living in standard laborat

241 Particularly, biological systems offer remarkable examples of diverse

242 Biological systems often detect species-specific signals

243 Biological systems often generate unique and useful stru

244 It paves the way to studying biological systems on a large scale by using chemical an

245 Numerous biological systems oscillate over time or space.

246 or limitation in phenotypic variation that a biological system produces.

247 o another facilitates signal transduction in biological systems providing for feed-forward and feed-b

248 glycosidases or small-molecule catalysts in biological systems raises significant challenges.

249 s in azide-alkyne cycloaddition processes in biological systems ranging from cells to zebrafish, with

250 Lipids are dynamic constituents of biological systems, rapidly responding to any changes in

251 In stark contrast, biological systems rarely use electrons but rather use i

252 ractions driving the fate of nanomedicine in biological systems remains elusive.

253 alamic-pituitary-gonadal (HPG) axis is a key biological system required for reproduction and associat

254 cesses, and as a common reaction site within biological systems, research involving sulfur is both br

255 Biological systems sense and respond to mechanical stimu

256 Complex biological systems sense, process, and respond to their

257 Synthetic demonstrations of dissipative biological systems such as actin filaments are a formida

258 ation, which is reminiscent of sophisticated biological systems such as allosteric enzymes.

259 additional substrate molecules, is common in biological systems such as haemoglobin.

260 Glycoproteins play important roles in biological systems such as in process related to cell bi

261 It occurs in biological systems such as spherical viruses, which util

262 greater understanding of roles for candidate biological systems such as the GRIK2 and CLOCK genes, as

263 be complicated, particularly in more complex biological systems, such as photosystems.

264 ating complex systems that can mimic dynamic biological systems, such as the biochemical system of li

265 recent evidence of coherence in chemical and biological systems suggests that the phenomena are robus

266 Here we describe a synthetic biological system that confers large-scale de novo patte

267 of constrained evolution in a broad class of biological system that is central to life and its evolut

268 typic plasticity is an evolvable property of biological systems that can arise from environment-speci

269 nce, and engineering to understand and mimic biological systems that have the ability to autonomously

270 t of nanomaterials in the environment and in biological systems, the detection of nanomaterials in co

271 In many biological systems, the network of interactions between

272 ation of small molecules that integrate into biological systems, thereby changing discrete processes

273 ng new knockout-mouse strains across diverse biological systems through a broad set of standardized p

274 f the malaria parasite present an attractive biological system to study host-parasite interactions an

275 an-designed artificial systems and synthetic biological systems to be evolvable.

276 Super-resolution microscopy allows biological systems to be studied at the nanoscale, but h

277 Predicting the responses of biological systems to ionising radiation is extremely ch

278 Adaptive homeostasis enables biological systems to make continuous short-term adjustm

279 Bringing the intrinsic adaptability of biological systems to traditional synthetic materials is

280 d is widely applicable to other hierarchical biological systems to uncover regulatory relationships.

281 plicable to study a range of diseases across biological systems under different experimental conditio

282 zyme versatility for detecting metal ions in biological systems under NIR light that exhibits lower p

283 effects in other systems, demonstrating how biological systems use an entatic state for modest yet a

284 be used to evaluate the metabolic state of a biological system using a minimal set of measurements.

285 tures meso-scale behavior of the chemical or biological system using pairwise potentials coming from

286 olution X-ray tomography can be performed on biological systems using Zn K edge (1s) absorption to en

287 be for singlet oxygen ((1) O2 ) detection in biological systems was designed, synthesized, and charac

288 The role of electricity in biological systems was first appreciated through electri

289 In spite of research on analyzing biological systems, we lack a quantifiable framework for

290 Inspired by biological systems, we report a supramolecular polymer-c

291 Inspired by the heterogeneity found in biological systems, we report that the capillary perform

292 systems that reproduce complex reactions of biological systems while maintaining control over specif

293 tative multiplex gene expression in numerous biological systems, while offering insights into gene re

294 ISPR itself, matching a powerful and modular biological system with a flexible online web tool that c

295 abled the investigation of a fully assembled biological system with greatly improved light penetratio

296 The treatment of a biological system with small molecules to specifically p

297 e full potential of mapping intact lipids in biological systems with better than 10 mum lateral resol

298 real-time control allows dynamic probing of biological systems with perturbations that are computed

299 tems and organisations or material ones like biological systems within living organisms or artificial

300 ion and discovery of protein PTMs in complex biological systems without the requirement of high mass