ライフサイエンスコーパス: model

1 cells, a 3-dimensional human corneal tissue model.

2 ximation) and spin-dependent drift-diffusion model.

3 irway inflammation in a humanized ILC2 mouse model.

4 CXCR4 in an apolipoprotein E-deficient mouse model.

5 alysis based on a multiple linear regression model.

6 mily of proneural transcription factors as a model.

7 lung eosinophilia in an experimental animal model.

8 ent LNCaP prostate carcinoma xenograft tumor model.

9 supports a previously published mathematical model.

10 e hands of a child not exposed to a language model.

11 LY3023414, on established EAC in an in vivo model.

12 evaluate the parameters of this propagation model.

13 use simulated RNA-seq datasets to train our model.

14 provements in an AD APP/PS1 transgenic mouse model.

15 notypes using logistic and linear regression models.

16 curs in human athletes, as well as in rodent models.

17 croptosis and remodeling using genetic mouse models.

18 P mutation in human prostate cancer or mouse models.

19 ts of depression based on findings in animal models.

20 n criterion was used to compare 2 univariate models.

21 l activation and antitumor activity in tumor models.

22 risk-based screening strategies using these models.

23 mortality with the use of multivariable Cox models.

24 iction techniques to predict high-resolution models.

25 a provide opportunity to develop forecasting models.

26 type clones in s.c. and orthotopic xenograft models.

27 MP, a general framework for membrane protein modeling.

28 biology to regenerative medicine and disease modeling.

29 ntegrates cellular behaviors via agent-based modeling (ABM) and hemodynamic effects via computational

30 The Poisson-Plus Model accommodates for this underestimation, if statisti

31 r results suggest that in these inflammatory models, acute administration of peripherally restricted

32 y was assessed with Cox proportional hazards models adjusted for age, sex, AMD severity, VA, history

33 ions using polynomial terms in spatial error models adjusted for total population and population dens

34 n, we constructed a Cox proportional hazards model adjusting for age, sex, race, and comorbidity.

35 This model agrees with our previous genetic analysis and high

36 iled comparison with the anisotropic network model (an elastic network model) highlights the importan

37 1r showed good permeability in the PAMPA-BBB model and high in vitro antioxidant activity, its conver

38 are present in a mouse alpha-synucleinopathy model and in postmortem brain tissue from patients with

39 were included simultaneously in a multilocus model and least angle regression was used to select the

40 ptional regulation such as the "hit-and-run" model and transcription bursting that could not be obtai

41 natomy to electrophysiology to computational modeling and behavior.

42 portunities and challenges in RNA structural modeling and design, as recently discussed during the se

43 xcluding adaptation, irrespective of climate modeling and emissions uncertainty, can be as low as 28%

44 lication of hPSC-derived lineages in disease modeling and regenerative medicine.

45 ensemble of six different downscaled climate models and a high-resolution global climate model, and c

46 improved established PAH in two experimental models and can be safely given in combination with curre

47 , amplitude, and phase of the DCC in climate models and compare them with satellite observations and

48 skill of coupled ecological-niche-population models and ecological niche models in predicting documen

49 Mixed effects models and log binomial models were used to assess the a

50 d in reactive cholangiocytes, in both murine models and patients with PSC.

51 nceptual foundations of genetic group animal models and provide extensive, step-by-step tutorials tha

52 , and (ii) respecting the predictions of the models and rigorously quantifying the confidence associa

53 1) underlies the disease pathology in mouse models and that the HTT exon 1 gene product can self-ass

54 y has been extensively studied using lattice models and theory, numerical estimates for real protein

55 models and a high-resolution global climate model, and create a generalized additive model (GAM) to

56 gorithm (dMAGA) with the decomposition-based model, and termed as dMAGA-FCMD, which is able to deal w

57 opment of a pseudo first-order rate constant model, and tested in a paper-based assay format using a

58 protective Treg responses in synucleinopathy models, and the combined vaccine is more effective than

59 n in a mouse model using clarithromycin as a model antibiotic and Helicobacter pylori infection as a

60 ple junctions in graphene using a multiscale modelling approach based on combining the phase field cr

61 exemplifying the importance of mathematical modelling approaches.

62 Experimentally validated FE models are combined for that purpose in one joint simula

63 However, current models are designed to quantify growth under conditions

64 Computational models are increasingly important in confronting and ove

65 eover, CR+ interneurons are often treated in models as a single homogenous population, despite previo

66 The postprandial homeostasis model assessment index (+54%) and glucose concentrations

67 tailored to specific datasets with matching model assumptions and code.

68 s models, regardless of parameterization and model assumptions.

69 ding to IA status and developed a predictive model based on genetic risk, established clinical risk f

70 We propose a model based on paracrine signalling to account for the s

71 d and refine an improved sigma(N)-holoenzyme model based on previously published 3.8-A resolution X-r

72 This tool uses a model-based method to compare allele read fractions at k

73 ermore, the ability to estimate the internal model before movement could improve motor neural prosthe

74 ng of the biological processes of this plant model but also of other species.

75 amination follows a conventional thermal age model, but we find no correlation between DNA fragmentat

76 Importantly, evoked neural activities were modeled by Bayesian inference, which had a top-down expl

77 Computational modeling can aid in identifying neural generators of fie

78 metabolites in common, suggesting that mouse models can be used to interrogate human lung metabolome

79 ayer graphene stack is showcased as suitable model cathode host for unveiling the challenging surface

80 de bipolar bias regions using Debye-Frohlich model (combined with the Zhang formula and parabolic bar

81 lts indicate that a significant portion of a model community's overall metabolism can be predicted ba

82 In the model, competition between two images in rivalry is driv

83 tion of adult cardiovascular disease using a model comprised entirely of adult nonlaboratory-based ri

84 ional analysis with miRNA mimics in cellular models confirmed these findings.

85 IDREAM models contain many fewer interactions than PROM and yet

86 Stereochemical models developed with the aid of density functional theo

87 ided into a two thirds set (Nd = 10 083) for model development and a one third set (Nv = 5042) for va

88 Here we show that a population of the model diatom Phaeodactylum tricornutum, after growing un

89 ion, we present a hierarchical hidden Markov model, diHMM, to systematically annotate chromatin state

90 be of potential use for monitoring HD mouse model disease progression and evaluating preclinical dis

91 iotic and Helicobacter pylori infection as a model disease.

92 We demonstrate the loading of two model drugs: the chemotherapeutic doxorubicin and the an

93 ecks that compared different variants of the model (e.g. with and without antecedent effects).

94 In contrast, most other productivity models either ignore inhibition or only include PAR inhi

95 ation of target quantity, when using Poisson modeling, especially at higher concentrations.

96 trates efficacy against EAC in a preclinical model, establishing the rationale for clinical testing.

97 Recent global models estimate that light absorption by brown carbon (B

98 Bayesian mixed models estimated the plausible range of effects for tele

99 ass and in k (severe underestimations by all models except JeDi and VISIT compared to observation-bas

100 The model fits the observed GPP well (R(2) = 0.79), which wa

101 and 95% CIs with multivariate Cox regression models fitting stromal TILs as a continuous variable (pe

102 ing sensitization and desensitization to the model food allergen ovalbumin.

103 f topical therapeutics, we need an efficient model for assessing different formulations and concentra

104 inato complex ((Ad) L)FeCl(OEt2 ) provided a model for diastereoinduction and allowed for systematic

105 In a well-characterized mouse model for DM1 (HSALR mice), activation of AMPK signaling

106 ive study, adult patients with cirrhosis and Model for End-Stage Liver Disease (MELD) score within 3

107 s of mortality following recurrence included model for end-stage liver disease at LT >23, time to rec

108 re refined, molecularly based classification model for glioblastoma (GBM) in the temozolomide era.

109 widely recognized as the premier plant cell model for membrane transport, signaling, and homeostasis

110 he meiotic program, A. rhodensis is an ideal model for studying the plasticity of meiosis and how it

111 (DAT-KO) mouse is currently the best animal model for this syndrome, displaying functional hyperdopa

112 We advanced LUR models for benzene, toluene, ethylbenzene, p-xylene, m-x

113 Both models found that antibodies to 5 proteins of the Merozo

114 ential components of an emerging 'respectful modeling' framework which has two key aims: (i) respecti

115 We propose a treatment response model, fully parameterized with experimental imaging dat

116 s of change in major land use classes impact modelled future distribution patterns.

117 ate model, and create a generalized additive model (GAM) to examine how future changes in temperature

118 einopathy (a Gaucher-related synucleinopathy model, Gba(D409V/D409V) and a A53T-alpha-synuclein overe

119 ayesian multitask approach, which explicitly models gene-centric dependencies across multiple and dis

120 V) and a A53T-alpha-synuclein overexpressing model harboring wild-type alleles of GBA, A53T-SNCA mous

121 acco smoking in a 4-week trial and in animal models has been shown to reduce cortical dopamine releas

122 Population receptive field models have been successful in characterizing spatial en

123 Animal models have begun to elucidate how skin barrier defects

124 nisotropic network model (an elastic network model) highlights the importance of flexibility in the e

125 ted to accelerated atherosclerosis in animal models; however, contrasting findings were reported in p

126 Based on these results, we propose a model in which a conformational change in BTN3A1 is a ke

127 To test this hypothesis, we created a mouse model in which a portion of the sciatic nerve from one h

128 Using a transgenic mouse model in which FlnA is selectively depleted in myeloid c

129 p tutorials that demonstrate how to fit such models in a variety of software programs.

130 niche-population models and ecological niche models in predicting documented shifts in the ranges of

131 studied causes of uncertainty among 16 crop models in predicting rice yield in response to elevated

132 The study of both cancer-bearing mouse models in wild types and their corresponding control typ

133 portance of a three-dimensional (3D) culture model including these cell types for investigating brain

134 ever, the ictal characteristics of these rat models, including SWDs and associated immobility, are al

135 Computational modeling indicated that Group II motoneurons are the maj

136 an new importance sampling scheme to perform model inference.

137 The simulation abilities of the Coupled Model Inter-comparison Project Phase 5 (CMIP5) models to

138 We also construct a mapping of the vertex model into the Chimera architecture of the D-Wave machin

139 Our predictive model is comparable in accuracy to other state-of-the-ar

140 A mechanical model is developed to explain the interaction of the thr

141 sporter type 1 (MOT1) were identified in the model legume Medicago truncatula and their expression in

142 We find that current model limitations lead to considerable biases in the sim

143 Furthermore, this model may facilitate the identification of APOL1-interac

144 find that axons within the WM pathways of AS model mice are abnormally small in caliber.

145 eferoxamine (Df)-pembrolizumab in two rodent models (mice and rats).

146 tion of interactive web-applications e.g. to model missing segments, flexible protein parts or hinge-

147 ave extended the framework of Nested Effects Models (NEMs), a type of graphical model specifically ta

148 K9 hypomethylation and a translational mouse model of AUD showed that alcohol exposure leads to PCSK9

149 ct of granzyme A deficiency in the NOD mouse model of autoimmune diabetes.

150 irectly investigate GFAP turnover in a mouse model of AxD that is heterozygous for a disease-causing

151 llular intoxication and pathology in a mouse model of botulism.

152 Here, we analyzed a Xenopus model of conversion of melanocytes to a metastatic-like

153 e present a data-driven decision-theoretical model of feeding in Caenorhabditis elegans Our central a

154 We developed a multiscale model of fibrinolysis that includes the main chemical re

155 ensory cortex of Fmr1 knock-out (KO) mice, a model of Fragile-X Syndrome, to test the E/I imbalance t

156 This mechanism has served as the predominant model of GR-mediated transrepression of inflammatory gen

157 We established a mouse xenograft model of human acute myeloid leukemia (AML) that enabled

158 tive prohemorrhagic effect of NAC in a mouse model of intracranial hemorrhage induced by in situ coll

159 l, dendrimer nanoparticle (DNAC), in a mouse model of intrauterine inflammation.

160 ne density by 30-40% in the Rpe65(-/-) mouse model of Leber congenital amaurosis and reduced the numb

161 In a murine model of lymphoid-specific EZH2 deficiency we found that

162 An agent-based stochastic simulation model of P. falciparum transmission was used to investig

163 dence was also investigated with a dynamical model of poliovirus transmission to observe prevalence a

164 luorescently labeled and injected into a rat model of radiation-induced lung injury via endotracheal

165 We conclude that the current model of radical-pair magnetoreception is unable to expl

166 anistic experiments were designed in a mouse model of resuscitated hemorrhagic shock and tissue traum

167 A three-dimensional structure (3D) model of Ss-RIOK-2 was generated using the Chaetomium th

168 the continuously growing mouse incisor as a model of stem cell-based tissue renewal, we found that t

169 Here, we report an atomistic model of the excited state ensemble of a stabilized muta

170 rns, we constructed a large-scale 3D network model of the granular layer.

171 sticizer into a simple but widely applicable model of tip growth.

172 oint for further steps of data analytics and modeling of biological dynamics.

173 , iFoldNMR, for rapid and accurate structure modeling of complex RNAs.

174 Flow cytometric assessment and mathematical modeling of intraerythrocytic parasite development revea

175 rature (SM/ST) can significantly improve the modeling of mesoscale deep convection is tested over the

176 Here, we show that modeling of neural sound representations in terms of fre

177 Modeling of phenotypes for multilocus genotype classes i

178 ress this challenge through the analysis and modelling of human brain voltage activity recorded simul

179 Computational modelling of the heart tube during development reveals t

180 tistatin in two well-established preclinical models of atherosclerosis, and the molecular and cellula

181 We have developed mathematic models of brain activity that allow for accurate predict

182 technology to create scarless isogenic cell models of cancer variants in 1 month.

183 to efficiently generate personalized in vivo models of genetic renal diseases bearing patient-specifi

184 of cardiopharyngeal phenotypes in zebrafish models of human congenital disorders.

185 s well as a discussion of the current animal models of infection.

186 IGNIFICANCE STATEMENT Recent neurobiological models of memory have argued that large-scale neural osc

187 pproach to infer data-driven dynamic network models of multi-organ gene regulatory influences.

188 elium and abrogate angiogenesis in the mouse models of oxygen-induced retinopathy and laser-induced c

189 ction (FOI) between districts, we compared 6 models of population movement (adjacency, gravity, radia

190 Most conceptual and mathematical models of soil vapor intrusion assume that the transport

191 Two murine models of synucleinopathy (a Gaucher-related synucleinop

192 Mouse models of T. cruzi infection have been used to study hea

193 Here we develop mathematical models of Tfh cells in germinal centers to explicitly de

194 ray scattering and ensemble modeling yielded models of the PHn-PHc fragment that indicate it is in eq

195 We study in three different models of this system how these two seemingly conflictin

196 This model offers a depiction of concomitant resistance that

197 In fully adjusted models, only death-censored graft loss remained signific

198 make code they produce for data analysis and modeling open source, and are actively encouraging their

199 ility to easily label pericytes in any mouse model opens the possibility of a broad range of investig

200 refore likely to be useful in studies of non-model or ancient organisms that lack large amounts of ge

201 f polar capsules to parasitism, we used as a model organism Ceratonova shasta, which causes lethal di

202 s of cellular self-repair by examining a few model organisms that have displayed robust repair capaci

203 n and cell cycling are well-characterized in model organisms, but less is known about these basic asp

204 to study anti-ZIKV responses in preclinical models, particularly T cell responses, remain sparse.

205 (R(2) = 0.79), which was confirmed by other model performance checks that compared different variant

206 ll type, the root hair cell, and between two model plants: Arabidopsis (Arabidopsis thaliana) and soy

207 nduced endotoxemia, we developed a new mouse model, PMN(DTR) mice, in which injection of diphtheria t

208 y embryos supports and extends the bivalency model posited in mammalian cells, in which the coexisten

209 the current level of childhood obesity, the models predicted that a majority of today's children (57

210 ficiency, consistent with microscopy-derived models proposing PMS as specialized cortical actin.

211 tom transfer radical polymerization from the model protein bovine serum albumin (BSA).

212 by the pairwise alignments between the query model (PSSM, HMM) and the subject sequences in the libra

213 Because the model recapitulates human poliovirus infection and polio

214 This is partly due to the lack of disease models recapitulating the human pathology.

215 class of resource-limited community dynamics models, regardless of parameterization and model assumpt

216 Both models remained effective after inclusion of older patie

217 resent work, we use a nonlinear mathematical model representing the course of an influenza infection

218 the main chemical reactions: the microscale model represents a single fiber cross-section; the macro

219 a single fiber cross-section; the macroscale model represents a three-dimensional fibrin clot.

220 Finally, a computational model reproduces behavioural results, by implementing a

221 ws a negative-binomial distribution, and our model reproduces these datasets.

222 the issue that deep probabilistic graphical models requires large number of labeled training samples

223 Model results show that agonist-induced intracellular ca

224 facilitating the reproduction and update of modeling results by other scientists, and (ii) respectin

225 Moreover, the modeling results reveal that light-based interventions m

226 antifying the confidence associated with the modeling results.

227 Moreover, the model reveals that lower rates of axon degeneration and

228 ) sensitivities, but the 10-2 VF univariable model showed an almost 2-fold better fit to the data (R2

229 When adjusted by operator, a multivariate model showed increased differences with decreasing RNFL

230 trends derived from nonlinear mixed-effects models showed small early favorable changes in the first

231 Consistent with this model, silencing of TNFalpha and MEKK4 dramatically redu

232 tate-of-the-art ("CMIP5") historical climate model simulations subject to anthropogenic forcing displ

233 lic architecture of the mature leaves of the model species Populus tremula x alba across all seven hi

234 d Effects Models (NEMs), a type of graphical model specifically tailored to analyze high-dimensional

235 to TPM data gives the best fit to the linear model studied.

236 experimental correlates of parameters in the model: substrate adhesion strength, actin polymerization

237 Continuum mechanics models suggest that buckled cofilactin filaments localiz

238 polymorphic NucS in a M. smegmatis surrogate model, suggests the existence of M. tuberculosis mutator

239 existing methods in the Rosetta biomolecular modeling suite for membrane proteins, we recently implem

240 uencing effort that represents a new type of model system driven not only by genetic tractability, bu

241 inked to poly(allylamine) hydrochloride as a model system, we demonstrate the use of NMR to distingui

242 Sea stars and sea urchins are model systems for interrogating the types of deep evolut

243 o atherosclerosis, provides a clinical human model that can be utilized to investigate the links betw

244 this analysis, we have created a theoretical model that captures the key features of the organ's morp

245 Using a self-propelled Voronoi (SPV) model that links cell mechanics to cell shape and cell m

246 A mouse model that recapitulates key histopathological features

247 ion (CTEPH) will be accelerated by an animal model that replicates the phenotype of human CTEPH.

248 follow-up studies, we developed the working model that synaptic plasticity in the nucleus accumbens

249 Cell or animal models that accurately reflect the pathology of LAM have

250 data requires the development of stochastic models that can both deconvolve the stages of polymerase

251 ive antivirals are hampered by a scarcity of models that mimic infection in a physiologically relevan

252 present study, we show, in a quad-transgenic model, that over-expression of VEGF-A165 b alone is suff

253 GDP- and active GTP-bound RAB11B mutants, we modeled the variants on the three-dimensional protein st

254 In the same way DNA was modeled, the tertiary structure of RNA is constrained us

255 k which has two key aims: (i) respecting the models themselves and facilitating the reproduction and

256 We modeled this process by a simple one-dimensional diffusi

257 tantiated using three classes of cyclic game models through stability analysis, Monte Carlo simulatio

258 We also extend the LOST model to accommodate changes in the modulatory structure

259 hlighted the need for a human DENV challenge model to better evaluate the candidate live attenuated d

260 or 2015 live births, we used a compartmental model to estimate (1) exposure to maternal GBS colonizat

261 on mutants in DnaK residues suggested by the model to interact with Hsp90Ec.

262 A), we develop a multiobjective optimization model to systematically identify the environmentally opt

263 We used Cox proportional hazards regression models to assess the association between later-generatio

264 We review current molecular models to explain ribosomopathies and attempt to reconci

265 del Inter-comparison Project Phase 5 (CMIP5) models to the arid basin (the Tarim River Basin, TRB) an

266 developed the simulation and the theoretical model together, in an iterative manner, with the aim of

267 Despite model uncertainty, our empirical results suggest that co

268 will depend on the methodology and evidence model used by each guideline.

269 The model used in the study is an adaptation of the FutureDo

270 treat gastric bacterial infection in a mouse model using clarithromycin as a model antibiotic and Hel

271 We tested this model using cued recall tasks, in which subjects had to

272 compared 2-class and 3-class DILI prediction models using the machine learning algorithm of Decision

273 To compare and test its scalability, the model was also run with 271 coral colonies monitored in

274 A sex-stratified illness-death model was applied to estimate the adjusted hazard ratios

275 kers selected from a multivariate prediction model was tested with receiver operating characteristic

276 A murine transgenerational asthma model was used to identify involved pathways.

277 Using a malaria transmission model we demonstrate that in such regions dominated by z

278 creased CD39 in an in vivo cerebral ischemia model, we developed a transgenic mouse expressing human

279 Using a xenograft model, we found that 3-aminopyridine-2-carboxaldehyde th

280 To validate our model, we systematically manipulated experimental correl

281 Using ex vivo and in vivo models, we identify the Hedgehog (HH) paracrine system a

282 Using three mouse infection models, we show that the SIP signaling pathway is active

283 Longitudinal regression models were constructed to assess associations between H

284 Cox proportional hazards models were fitted to assess associations of asthma hist

285 Mixed effects models and log binomial models were used to assess the association of maternal P

286 Log-linear models were used to estimate prevalence ratios (PRs) of

287 Multivariable binomial regression models were used to evaluate the effects of oral health,

288 ng wild-type alleles of GBA, A53T-SNCA mouse model) were exposed to a brain-penetrant GCS inhibitor,

289 atomic structure, we propose a local seeding model where the kinked GGA motifs in the stem region of

290 Our model, which estimates age based on DNA methylation at 3

291 A liver disease progression Markov model, which used a lifetime horizon and health care sys

292 a substantially increased resolution of gene models will not only further our understanding of the bi

293 lized the well-characterized Pax9(-/-) mouse model with a consistent cleft palate phenotype to test s

294 algorithm to integrate a data-driven network model with prior biological knowledge (i.e., protein-pro

295 of a well-established computational saliency model with the activation of neurons in the primate supe

296 d deeper perforations were found in the skin models with increasing water content.

297 mice were crossed to produce pregnant mouse models with or without adiponectin deficiency.

298 m, which incorporates microbial evolutionary models with the isometric log-ratio transform to allow o

299 Using statistical mechanics, a random-binder model without fitting parameters, with genomic DNA seque

300 Small angle X-ray scattering and ensemble modeling yielded models of the PHn-PHc fragment that ind