ライフサイエンスコーパス: computer model

1 1-dimensional transmural electrocardiography computer model.

2 al-through-local weather-climate-air quality computer model.

3 tation deficits, as tested in a granule cell computer model.

4 lified brain dynamics were simulated using a computer model.

5 st initiation, we developed a virtual-tissue computer model.

6 and we demonstrate one such circuit using a computer model.

7 model of the ryanodine receptor (RyR) in the computer model.

8 rs build a device layer by layer based on 3D computer models.

9 is hypothesis using clinical experiments and computer models.

10 rm analyses on a variety of mathematical and computer models.

11 ne of the major deficiencies in contemporary computer models.

12 five organ groups, and reconstructed as five computer models.

13 ) as well as regulatory T-lymphocytes and by computer modeling.

14 inding assay, site-directed mutagenesis, and computer modeling.

15 he known crystal structure of TLR4/MD-2 with computer modeling.

16 esults reported here are consistent with the computer modeling.

17 analyze its interaction with channels using computer modeling.

18 Wet-lab experiments validate estimates from computer modeling.

19 These results are supported by computer modeling.

20 ched material, degradation, derivatives, and computer modeling.

21 ophysiology and confocal Ca(2+) imaging, and computer modeling.

22 expertise in biochemistry, spectroscopy and computer modelling.

23 These data are consistent with computer modelling.

24 Our computer model accurately mimics transverse array organi

25 The resulting computer models allow the first phylogenetic analysis of

26 The computer model also predicts powerful effects of perturb

27 Computer modeling analysis revealed that CQ was well doc

28 This was further supported by computer modeling analysis, which identified a surface-e

29 nucleosome distribution to a sequence-based computer model and in vitro-assembled nucleosomes.

30 roposal is illustrated by using a simplified computer model and placed within the context of a sequen

31 orks from scalp EEG can be estimated using a computer model and used to predict seizure likelihood an

32 Computer modeling and analysis of the NSP5 C terminus re

33 Computer modeling and biochemical data are consistent wi

34 Computer modeling and cell trajectory tracking have sugg

35 binding sequence, GFPGEN, through the use of computer modeling and demonstrated that Scl2(GFPGEN) sho

36 es in binding assays, functional assays, and computer modeling and docking studies, we have identifie

37 Computer modeling and expression studies identified seve

38 Computer modeling and further mutational analysis reveal

39 These ultrastructural data support computer modeling and in vitro electrophysiological data

40 Here, we have used computer modeling and in vivo multisite recordings from

41 loading, which has been characterized using computer modeling and in vivo studies, is crucial for ma

42 Recent work using computer modeling and live imaging is helping to elucida

43 ting microchannel arrays is characterized by computer modeling and microscopic particle image velocim

44 Previously, computer modeling and mutational analysis predicted two

45 in autophosphorylation site of FAK, Y397, by computer modeling and screening of the National Cancer I

46 alyze the structure of botanical trees using computer modeling and show that many relevant measures o

47 We predict, from computer modeling and simulation in partnership with exp

48 Combining computer modeling and single-cell measurements, we exami

49 tes and five substrate analogues followed by computer modeling and site-directed mutagenesis.

50 tion of these hypotheses by a combination of computer modeling and stopped-flow pH-dependent kinetic

51 Using a combination of computer modeling and the knowledge that vicinal C-F and

52 We here focus on the contribution that computer modeling and theory make to this long-term effo

53 M2) near the C-terminal tail was proposed by computer modeling and verified by site-directed mutagene

54 We combined computer models and dendritic branch dynamics tracking t

55 provide critical input for the refinement of computer models and the elucidation of the structure and

56 rn biology by "building and breaking it" via computer models and their simulations.

57 lls, using various biochemical, biophysical, computer modeling, and cell-based methods.

58 bance, photoluminescence-excitation mapping, computer modeling, and electron microscopic imaging to c

59 he as-prepared material, as revealed here by computer modeling, and involve distinct zigzag paths bet

60 ylated SWNTs with HRP was further studied by computer modeling, and the products of the enzymatic deg

61 We utilized mutagenesis, kinetic, and computer modeling approaches to better understand differ

62 this, we used stopped-flow spectroscopy and computer modeling approaches to determine how the phosph

63 Kinetic isotope effects (KIEs) and computer modeling are used to approximate the transition

64 g animals are isotropic, since sophisticated computer models are required to estimate the 3D scatteri

65 llectively these findings demonstrate that a computer model based analysis of routine clinical EEG pr

66 We present a computer model based on translational murine data for in

67 Computer modeling based on the PRLR crystal structure sh

68 Computer modelling based on the Runx1/CBFbeta/DNA crysta

69 Computer models based on the detailed biology of the bra

70 In particular, data driven computer model calibration is the basis for inference of

71 A computer model can be helpful in understanding septal de

72 , developments in machine learning show that computer models can also make valid judgments.

73 Computer models can make transcranial electric stimulati

74 Mathematical and computer models can provide guidance to public health of

75 The cascade computer model (CCM) was designed as a machine-learning

76 In addition, we developed a computer model closely mimicking the experimental condit

77 967, and deeper insight is being obtained by computer modelling combined with empirical work.

78 designed protein confirms that the minimized computer model contains a haem/non-haem Fe(B) centre tha

79 al inversion of diffraction data-producing a computer model correctly representing the material explo

80 Computer models correlated a cirrhosis-associated transc

81 Computer modeling corroborated these experimental findin

82 For dedicated breast imagers, the computer model could increase the specificity from 34% t

83 For residents, the computer model could potentially improve the specificity

84 Developments in proteomics and computer modeling could expand our view of proteins medi

85 Computer modelling coupled with classical biochemical te

86 Computer modeling data suggested that residue 96 resides

87 This computer model demonstrated that similar stress forces w

88 A three-dimensional computer model depicts the physical interactions between

89 By use of empirically well-constrained computer models describing the coupled function of the b

90 uccessful application of QSPR models for the computer-model-driven design of liposomal drugs.

91 The employed cellular automaton-based computer model examines the life history of the subject

92 hic data for relevant Pd-AMPP* complexes and computer modeling explained the origin of the enantiosel

93 Based on computer modeling, female and male livers are metabolica

94 Variability in the recommendations of the computer model for different observers was also calculat

95 We develop a computer model for how two different chemical catalysts

96 tissue property modulation, and the role of computer modeling for treatment optimization.

97 which can significantly hamper the skill of computer models for climate change.

98 To address extreme crowding, various computer models for crowd movement have been developed i

99 expense of in vitro experimentation by using computer models for in silico predictions.

100 convection is a central challenge in current computer models for long-range ensemble forecasting of w

101 Computer modelling, gel mobility shift and footprint ana

102 In the computer model, gray zones were assigned slower conducti

103 Computer modelling has emerged as a particularly useful

104 imental structural biology with biomolecular computer modelling has yielded mechanistic details of fu

105 increasing I K1 density in a two-dimensional computer model having realistic mouse ionic and action p

106 pically derived from: (i) global circulation computer models; (ii) interpolated weather station data;

107 Computer modeling implicated TMH3-4-5-6 for activation b

108 Computer modeling implied that this motif might function

109 Here, the advantage of applying computer modeling in optimizing the therapeutic efficacy

110 ed, our study also showed the limitations of computer modelling in extending the data from the X-ray

111 The collective experimental data and computer modeling indicate that the deacylation-deficien

112 t measurements of calyx I(NaP) together with computer modeling indicate that the fast deactivation ti

113 In addition, computer models indicated that early depletion of memory

114 Computer modeling indicates that the optimal spacing of

115 The extended computer model is corroborated by simulating an independ

116 Computer modelling is widely used in the design of scien

117 of imperfect Atmosphere Ocean Science (AOS) computer models is a central issue in climate change sci

118 mics, was selected for further studies using computer modeling methods and site-directed mutagenesis.

119 We developed a computer model of "virtual pea seeds," that uses Monte C

120 rocess of development of a complex multibody computer model of a primate skull (Macaca fascicularis),

121 We have built a computer model of apicobasal polarity that suggests that

122 address this issue by using a coarse-grained computer model of arrays of 101 nucleosomes considering

123 We developed a simple computer model of clonal expansion in an epithelium in w

124 died theta-modulated gamma oscillations in a computer model of hippocampal CA3 in vivo with and witho

125 We linked data from recent trials to a computer model of HIV acquisition, screening, and care t

126 pothesized that a patient-specific in silico computer model of intracranial pressure (ICP) dynamics m

127 experimental data to develop a comprehensive computer model of Kv1.4 channels to determine the intera

128 wo models into a two-dimensional, stochastic computer model of lamellipodial protrusion, and studied

129 ated guinea pig cardiac mitochondria using a computer model of mitochondrial bioenergetics and cation

130 e first developed a realistic finite element computer model of rat lumbosacral segments to identify t

131 A multicompartment, history-independent computer model of rat skeletal muscle was developed to d

132 sients during an AP waveform and developed a computer model of SK channels with rectification feature

133 d by representing clinical imaging data as a computer model of the anatomical defect and translating

134 A computer model of the auxin redistribution shows agreeme

135 A computer model of the axon showed that the changes in ma

136 A similar protocol was used in a simplified computer model of the cardiac tachycardia circuit in a 2

137 Using a computer model of the hippocampal Schaffer collateral pa

138 hrough the analysis of unfolding times for a computer model of the homogeneous and heterogeneous tand

139 sceptibility in a biophysically detailed, 3D computer model of the human atria representing electrica

140 l deformation pattern, we used the CircAdapt computer model of the human heart and circulation.

141 We developed an individual cell-based computer model of the interaction of cancer stem cells a

142 as been deleted, and apply a newly developed computer model of the metabolism of these cells to predi

143 ing structure-based virtual screening with a computer model of the Stat3 SH2 domain bound to its Stat

144 This setup was replicated using a computer model of the thalamocortical system, which cons

145 tructed from interictal EEG, combined with a computer model of the transition from background to seiz

146 As a specific example, we constructed a computer model of the visual system of cephalopods (octo

147 In silico analysis using a computer model of ventricular tissue incorporating these

148 ned from our previous experimental study and computer modeling of amino acid residual level interacti

149 NOS association with Cav-1 (Kd = 49 nM), and computer modeling of CAV(90-99) docking to eNOS provides

150 work represents an important development in computer modeling of chromosomes, and suggests new expla

151 Computer modeling of cytoplasmic domains indicated that

152 Computer modeling of interactions of Lp-PLA(2) with diff

153 t an investigation of this possibility using computer modeling of quasi-transition states and pH-depe

154 We present a new approach to computer modeling of solvation free energies of oil in w

155 Computer modeling of the CDK7 structure was used to desi

156 Computer modeling of the complexity data suggests that m

157 other recombinant monoclonal antibodies and computer modeling of the Fab part of rhuMAb suggest that

158 Computer modeling of the GS52 apyrase structure identifi

159 Finally, computer modeling of the kinase domain suggests a phosph

160 Computer modeling of the spatial distribution of resonan

161 e hepcidin-binding region of ferroportin and computer modeling of their docking.

162 Computer modeling of urotoxin's three-dimensional struct

163 Computer modeling of WT and mutant STAT1 molecules showe

164 Accuracy of results from mathematical and computer models of biological systems is often complicat

165 uch, GPs are well suited for the analysis of computer models of biological systems, which have been t

166 odeling and Cx43 distribution in subcellular computer models of cells of the outer pathway (IZo) and

167 Computer models of disease take a systems biology approa

168 ed GD1a in a solid phase assay, we generated computer models of GD1a based on binding patterns of dif

169 Computer models of increasing sophistication have predic

170 ferent activity and for generating realistic computer models of neuronal networks of striatal and mid

171 mented subcellular monodomain and two-domain computer models of normal epicardium (NZ) to understand

172 We construct personalized three-dimensional computer models of post-infarction hearts from patients'

173 through the analysis of unfolding times for computer models of protein tandems.

174 Executable computer models of signaling pathways can accurately rep

175 orial review we show how the construction of computer models of such natural supramolecular systems n

176 d 50 CRT patients using electrophysiological computer models of the heart.

177 Well-tested computer models offer new insight in the control of the

178 scribe an R package, mlegp, that fits GPs to computer model outputs and performs sensitivity analysis

179 the packed tissues using disease, genetic or computer model perturbations, we show that as long as pa

180 muli (S(2)S(3)S(4)S(5)=CL(VF)) for which the computer model predicted maximal spatial dispersion of r

181 In addition, computer modeling predicted a docking site for OSU-03012

182 Computer modeling predicted that 81% of AD-HIES mutation

183 Computer modeling predicted that IpaD binds the bile sal

184 Computer modelling predicted (and experiments verified)

185 Computer modelling predicted that this reduces spike lat

186 Computer models predicted a conserved miR-103/107 target

187 Computer modeling predicts that a delay in the onset of

188 expressed in the mouse sinoatrial node where computer modeling predicts that its presence increases H

189 Computer modeling predicts that N(1575)Y allosterically

190 Computer modeling predicts that these unique residues in

191 Computer modelling predicts that enzyme active sites are

192 Together, our computer model provides new mechanistic insights into ho

193 Computer modeling provides a structural explanation for

194 We have developed multi-scale computer models, ranging from a single cell to tissue le

195 A computer model representation of the system allows furth

196 Computer modeling reproduced an enhanced effectiveness o

197 e of this study was to determine whether the computer model results pertained to the initiation of VF

198 Computer models reveal that slow IPSCs in bushy cells ca

199 Computer modeling revealed that EAD generation by hypoka

200 Computer modeling revealed that I(NaL) potentiates EADs

201 Computer modeling reveals that these arginine residues r

202 ther with mutagenesis, kinetic analysis, and computer modeling shed light on the cofactor binding and

203 a personality questionnaire (r = 0.49); (ii) computer models show higher interjudge agreement; and (i

204 Computer modeling showed that the R6.58A mutant has addi

205 The computer model simulated the observed changes in the ES

206 Computer model simulations support the hypothesis that D

207 Computer modeling, structure probing, and/or compensator

208 Computer model studies based on density functional theor

209 In computer model studies, we investigated calcium dynamics

210 Despite its potential importance, computer modeling studies focused on arrhythmia mechanis

211 We performed a series of computer modeling studies on the skull of Uromastyx hard

212 the results of comprehensive mutagenesis and computer modeling studies shed light on molecular determ

213 Computer modeling studies show that the more open active

214 lphosphocholine (DPC) was also observed, and computer modeling studies showed that it may likely orig

215 erstand the differential SAR, we carried out computer modeling studies to gain insight into the effec

216 ce of oxygen availability, highlights recent computer modelling studies of transport at the cell-memb

217 Experimental and computer modelling studies suggest that oxygen diffusion

218 PXRD patterns and computer modeling study, together with pore size distrib

219 In a computer modeling study, we demonstrated that specific s

220 The computer model successfully reproduced both qualitative

221 Theory and computer modeling suggest that the rate of emergence of

222 For both polymerases, computer models suggest that bypass occurs only when O(6

223 The computer models suggest that the spatial positions and o

224 Computer modeling suggested that the rWTX loop II protru

225 Because computer modelling suggested significant structural simi

226 this compound, and mutagenesis together with computer modeling suggests Cys522 as a major site, which

227 Computer modeling suggests that Arg-593 may cross-bridge

228 Computer modeling suggests that both P558G and P558A mut

229 Computer modeling suggests that GABAergic quenching of l

230 Combining these experimental results with computer modelling suggests that PE formation involves b

231 e the dynamics of a genomic invasion using a computer model, supported by in vitro and in vivo experi

232 Computer modeling supports these findings by showing tha

233 alization was guided by the Plaque Simulator computer modeling system using preoperative imaging stud

234 Among the various computer modeling techniques, the application of molecul

235 ymmetric distribution that can be fit with a computer model that assumes two rupture rates, a slow on

236 owing dynamic mechanisms to be revealed in a computer model that can then be tested in biological sys

237 elationships were compared with results of a computer model that simulates IMS operation based on a f

238 DESIGN, SETTING, AND PATIENTS: A computer model that simulates the life histories of indi

239 Computer models that capture key features of the heterog

240 experiments, as well as biophysically based computer models that have been used to integrate and int

241 We conclude that structure-based, multiscale computer models that incorporate accurate information ab

242 r BRCA1/2 mutations, it is not known whether computer models that predict mutations work accurately i

243 In our computer model, the tip link tension and fast adaptation

244 In computer models, these findings were best explained by r

245 Using computer modeling, this increase in Ito resulted in loss

246 Through biophysically detailed computer modelling, this study investigated mechanisms b

247 Through computer modelling, this study investigated mechanisms b

248 Using biophysically-detailed human atria computer models, this study investigated the mechanistic

249 ical expressions and created a corresponding computer model to describe the consequences of independe

250 obster is used as a framework to construct a computer model to examine the utility of intermittency f

251 -directed mutagenesis data, we established a computer model to explain the specific A27-A17 binding m

252 rotubule behaviour rules is sufficient for a computer model to mimic the observed responses to change

253 We used a computer model to simulate a cohort of HIV-infected, pre

254 We used Zimbabwean data in a validated computer model to simulate a cohort of pregnant, HIV-inf

255 e have incorporated it into a 2D, stochastic computer model to study lamellipodia via the self-organi

256 Computer modeling to a minimal mechanism was consistent

257 tural studies, we carried out homology-based computer modeling to aid analysis.

258 We used computer modeling to characterize the effect of STAT3 mu

259 Finally, we used computer modeling to depict how the A125V amino acid cha

260 d DARPins at 1.95-A resolution, we could use computer modeling to design a link to a trimeric protein

261 and voltage imaging from the same neuron and computer modeling to investigate signal processing in th

262 ues, using quantitative spatial analysis and computer modeling to investigate the topology of astrocy

263 e then aligned along the peptide template by computer modeling to predict the possible monomer sequen

264 r AP explain TWA and predict VT/VF, and used computer modeling to suggest potential cellular mechanis

265 his new understanding may help expand use of computer modelling to explore adhesive wear processes an

266 cies in the United States use activity-based computer models to estimate mobile source emissions for

267 nments depend increasingly on predictions by computer models to justify their decisions.

268 This study compared computer-modeled triamcinolone acetonide diffusion after

269 Computer modeling under the framework of a local-enhance

270 A computer model used to simulate the network washout curv

271 We developed a conductance-based computer model using the simulation tool NEURON.

272 Kinetic isotope effects (KIEs) and computer modeling using density functional theory were u

273 Animal models such as the neonatal pig and computer models using finite element analysis are promis

274 y detailed rabbit ventricular slice bidomain computer model was constructed from 25-mum magnetic reso

275 In this study, a 3D computer model was constructed to calculate local Ca flu

276 epen our understanding of these processes, a computer model was developed to integrate the biophysica

277 by quantifying these anatomical parameters a computer model was generated that accurately predicted a

278 A multi-compartment computer model was used to estimate the amplitude and ti

279 A computer model was used to simulate decentration of a 6-

280 Contrast CT and computer modeling was used to determine the vena cava re

281 Computer modeling was utilized to determine and compare

282 From this computer model we designed a slice preparation that cont

283 Using a computer model we investigated whether top-down induced

284 In laboratory experiments and computer modelling we uncovered patterns of the foraging

285 Using a computer model, we investigate the phase behavior and th

286 Using a computer model, we reproduced the observed spatio-tempor

287 Based on behavioral studies and computer modeling, we develop a 2D model of face evaluat

288 -directed mutagenesis, NMR spectroscopy, and computer modeling, we investigated the recombinant mutan

289 Using computer modeling, we reproduced voltage-clamp experimen

290 amiliar and new examples of mathematical and computer models, we provide a complete methodology for p

291 Agent-based computer models were built to explore how a polarized re

292 atients (0-16 years old), for whom full-body computer models were recently created from clinical CT d

293 Petri net computer models were shown to be an effective method for

294 The official forecast and computer models were unable to predict rapid intensifica

295 calculated cost-effectiveness ratios with a computer model which projected results to 10 years.

296 exchanges; its reports relied especially on computer modeling, which became a center of fully integr

297 Computer modeling with Orbit 1.8 (Eidactics, San Francis

298 in these three model organisms has combined computer modelling with experimental analysis to reveal

299 ems has often been performed using classical computer models with continuous properties.

300 idate, and use intuitive qualitative dynamic computer models, with a graphical user interface that do