ライフサイエンスコーパス: modeling of

1 Predictive modeling of 291 microbial and metabolite values achieved

2 Modeling of a 3' terminal Uridine into the catalytic poc

3 t, its computational underpinnings for joint modeling of a common information space and idiosyncratic

4 Although faithful modeling of a genetic risk factor poses many challenges,

5 organoids, potentially allowing the in vitro modeling of a plethora of lung diseases.

6 ped three additional important features: (1) modeling of a realistic cell geometry, (2) inclusion of

7 Dynamical and collisional modeling of a recently produced dust cloud yields result

8 in gerbils of both sexes with computational modeling of a single cell.

9 ethodology relies on hydrodynamic dispersion modeling of a smooth analyte gradient under conditions t

10 ysical measurements of ensembles are sparse, modeling of actomyosin networks has aided in discovering

11 r evaluating, validating, and optimizing the modeling of AET and thus of water and energy balances.

12 experiments in combination with mathematical modeling of aggregation kinetics and discovered that the

13 Systematic modeling of all discovered rare alleles by zebrafish in

14 cts between GDPD1 and retinal enhancers, and modeling of all RP17 SVs was consistent with neo-TADs le

15 for rapidly growing computational tools for modeling of allosteric regulation.

16 Biophysical modeling of amygdala circuits showed that simulation neu

17 rary computer simulation of neural activity; modeling of any realistic properties of motor cortical r

18 ctures of MAPK-TAD complexes and mechanistic modeling of ATF2 TAD phosphorylation in cells suggest th

19 Unbiased computational modeling of B56alpha KO (knockout) mouse myocyte action

20 Computational modeling of behavior has revolutionized psychology and n

21 ) presented by the widespread collection and modeling of behavioral data obtained from smartphones.

22 Computational modeling of behavioral data suggested that, after repeat

23 Mathematical modeling of behavioral sequences yields insight into the

24 ve potential for use in species distribution modeling of benthic species and habitats.

25 Here, modeling of BETi-persister/resistance (BETi-P/R) in huma

26 Here we introduce the kinetic modeling of bidirectional two-electron-redox reactions i

27 Overall our findings argue for more detailed modeling of biological detail across neural engineering

28 er estimation problems that arise in dynamic modeling of biological systems.

29 s on brain plasticity and activity-dependent modeling of brain circuits.

30 Computational modeling of brain mechanisms of cognition has largely fo

31 ning experimental analysis and computational modeling of branching patterns in whole animal organs ha

32 We leverage mechanistic modeling of C. difficile infection, a major HAI disease,

33 This study demonstrates how mathematical modeling of cancer evolution can be used to optimize scr

34 soil-vegetation interactions for more robust modeling of carbon and water cycles.

35 a practical, trait-based approach to improve modeling of carbon and water exchange in tropical forest

36 The CC4 structure, together with homology modeling of CC1, reveals the surface locations of critic

37 ber partitioning upon cell division, and the modeling of cell communication (juxtacrine and paracrine

38 important starting point for the predictive modeling of cell fate decisions that include AKT1-driven

39 to evade the host cytokine response and that modeling of cellular infection parameters can reveal pre

40 Continued modeling of cellular signaling will enable improved mech

41 Linear modeling of cellular traits associated with CXCL10 level

42 awing on statistical analysis and regression modeling of census microdata at the household scale, our

43 Computational modeling of chemical and biological systems at atomic re

44 ulti-scale modeling in general in predictive modeling of chemical modulation of biological activities

45 Using computational modeling of choice behavior we find that fatiguing exert

46 oreover, computational methods for structure modeling of chromatin have mostly focused on fitting a s

47 Modeling of chromium-aluminum interdiffusion in spinel c

48 An automatic soft independent modeling of class analogy (aSIMCA) that self-optimizes t

49 recognition methods such as soft independent modeling of class analogy (SIMCA) and partial least squa

50 inant analysis (PLS-DA) and soft independent modeling of class analogy (SIMCA) models were evaluated,

51 te metric index through the Soft Independent Modeling of Class Analogy analyzing an artificial datase

52 Joint modeling of clinical and genomic data highlights the int

53 We also discuss modeling of coarsening including diffusion and decay of

54 studies of catalytic processes, theoretical modeling of complex materials, and model studies under a

55 twork framework for combinatorial, nonlinear modeling of complex patterns shared by risk variants sca

56 Reliable modeling of complexes would greatly help to understand t

57 This finding warrants the modeling of concurrent treatment of TB and HIV to potent

58 Coarse-grained modeling of conjugated polymers has become an increasing

59 e-cell quantitative imaging and mathematical modeling of conserved components of intraflagellar trans

60 Analysts should routinely consider flexible modeling of continuous covariates when estimating invers

61 entrance pupil of a stationary eye requires modeling of corneal refraction, the misalignment of the

62 We implemented individual-based modeling of COVID-19 spread in Sweden using population,

63 sues to SARS-CoV-2 infection and for disease modeling of COVID-19.

64 design methodology that incorporate ensemble modeling of crystallographic data.

65 We present a fine-scale global modeling of current status and future scenarios for seve

66 Qualitative content analysis and logic modeling of data abstracted from 69 studies included in

67 Emerging studies in computational modeling of decision making, caregiver-related transmiss

68 ss quantum science, ranging from microscopic modeling of decoherence dynamics to noise-optimized quan

69 d consideration of the volatilization in the modeling of degradation kinetics.

70 o explore this topic, we performed molecular modeling of DinB's interactions with the RecA filament d

71 tact matrices, which might lead to incorrect modeling of diploid genome architecture.

72 a comprehensive framework for computational modeling of direct remuscularization approaches to cell

73 Using mathematical modeling of distinct splicing mechanisms, we show that a

74 ic, M (FMISO) , derived from pharmacokinetic modeling of dynamic (18)F-FMISO and maximum tumor-to-mus

75 To this end, plasma input kinetic modeling of dynamic tumor uptake data with online arteri

76 ided therapy approach, based on mathematical modeling of early viral kinetics, to reduce the duration

77 dom forest) framework, which can improve the modeling of ecosystem production and quantify its uncert

78 esistances extracted from equivalent circuit modeling of electrical impedance spectroscopy data varie

79 n of the chicken embryo, but also in the (re)modeling of embryonic tissues.

80 Using homology modeling of ENaC structure and site-directed mutagenesis

81 Machine learning approaches to modeling of epidemiologic data are becoming increasingly

82 Regression modeling of epigenetic states at cCREs and gene expressi

83 Combination of experiments and numerical modeling of equilibrium field configurations using a sph

84 We compared modeling of foot and mouth disease (FMD) outbreaks using

85 mportantly, our work, including mathematical modeling of forces and material stiffness during lens de

86 rformed much better than the autocorrelation modeling of FSL and SPM.

87 species will allow for enhanced engineering modeling of fuel blending and engine design.

88 Time-series modeling of GCP cell cycle exit identified downregulatio

89 conclusion, MarkRank suggests that explicit modeling of gene cooperative effects can greatly improve

90 ion analysis technology developed for linear modeling of gene expression data was used in combination

91 e nonhuman primate species for comprehensive modeling of genetic mutations.

92 ign in this field, highlights from molecular modeling of GPR18 will be provided.

93 Mathematical modeling of healthcare-associated infections and multidr

94 Moreover, in silico modeling of heterotetrameric mutant GIRK channels indica

95 Proxy-based reconstructions and modeling of Holocene spatiotemporal precipitation patter

96 his advance is anticipated to facilitate the modeling of human kidney diseases, provide platforms for

97 generating lungs in large animals to enable modeling of human lung disease as well as cell-based the

98 Pharmacokinetic modeling of hydroxychloroquine suggested that the total

99 Molecular modeling of IA-2var predicts that the genomic variation

100 31461630

101 this new culture medium for chronic disease modeling of IL-13-induced airway hyper-responsiveness.

102 For example, FastMM can be applied to the modeling of individual cancer metabolic profiles of hund

103 Indirect RCC-5 modeling of intensional (property-based) node concept de

104 We use multilayer modeling of interdependent social and epidemic dynamics

105 We used bifactor modeling of internalizing symptoms to separate symptom v

106 In modeling of invasion dynamics, SDGD was predicted to hav

107 -induced DSBs lead to the same outcomes, and modeling of IR dose-response reveals that the CO-unfavor

108 , coupled with bioinformatic information and modeling of its endonuclease, identified five residues,

109 o handle kinematic constraints, which enable modeling of kinematic loops (e.g., cycling models) and c

110 DNA-binding species, useful in larger-scale modeling of kinetics, FCS, and FRAP.

111 Multi-response kinetic modeling of kynurenine pathway provided insights into tr

112 Together, these methods allow for modeling of later events in cortical development, which

113 Here we show via petrological modeling of lawsonite-bearing eclogite xenoliths exposed

114 Numerical modeling of LC and cell mechanics reveals that RBC shape

115 f negative data can be critical for accurate modeling of ligand activity profiles, we manually collec

116 ational advantages, and enables multivariate modeling of local LD patterns.

117 Mathematical modeling of macrophage activation can improve the unders

118 sian whole-genome regression model for joint modeling of main genetic effects and GxE interactions in

119 Supervised modeling of mass spectrometry imaging (MSI) data is a cr

120 tration force measurements, and mathematical modeling of mechanical puncture phenomena.

121 Quantitative modeling of MEF2B binding affinities and computational s

122 onic stem cell (ESC)-GEMM platform for rapid modeling of melanoma in mice.

123 h quantitative proteomics data and molecular modeling of membrane transporters to reconcile these opp

124 amics (BD), and cellular-level thermokinetic modeling of microtubules.

125 sents a particularly challenging task in the modeling of molecules and materials.

126 -dependent proximity labeling, and in silico modeling of motif determinants uncovered unanticipated C

127 Quantitative modeling of multi-shell diffusion MRI data from 413 part

128 ains: is a general strategy for the accurate modeling of multichromophoric systems possible?

129 ds achieving the goal of physically accurate modeling of multiphase flow for gas hydrate-bearing sedi

130 Indeed, molecular modeling of mutations revealed substantial changes in AN

131 ction for bound complexes, automated Rosetta modeling of mutations, and use of secondary structure-ba

132 rough comprehensive analytical and numerical modeling of myosin V diffusion and stepping.

133 xtensive phylogenetic analyses, mathematical modeling of NAD metabolism, and experimental verificatio

134 e recently proposed the use of computational modeling of nanoparticle-mediated drug delivery targetin

135 ermal actuation, we presented the design and modeling of NanoThermoMechanical AND, OR, and NOT logic

136 Despite progress in statistical modeling of neural responses and deep learning, current

137 This difference, together with evolutionary modeling of new mutations, suggests that complex traits

138 operties could be accounted for by molecular modeling of NTP/RNAP co-crystal structures.

139 euroendocrine control of renal function, and modeling of numerous human renal conditions such as kidn

140 Mathematical modeling of our experimental datasets showed that indeed

141 ailings components, ultimately enabling fate modeling of over 1500 chromatographic features simultane

142 a TRPA1 KO rat to enable more sophisticated modeling of pain, itch, and asthma.

143 The results highlight the modeling of PCa with organoids as a powerful tool to elu

144 The computational modeling of peptide display by class I major histocompat

145 complexes, delineation of interfaces and the modeling of peptides acting as inhibitors of protein-pro

146 rtant lingering questions regarding accurate modeling of perinatal cannabis exposure as well as the n

147 Mathematical modeling of plant metabolism enables the plant science c

148 reatened populations, but also for realistic modeling of plant population adaptability and vulnerabil

149 serve as scaffolds for dFBA-based lifecycle modeling of plants and other systems to further broaden

150 rate long-range atmospheric transport (LRAT) modeling of polycyclic aromatic hydrocarbons (PAHs) and

151 ical conditioning for up to 8 months enabled modeling of polygenic left ventricular hypertrophy start

152 XS) allows for a quantitative assessment and modeling of potentially flexible and heterogeneous struc

153 dynamics were disclosed using hidden Markov modeling of power envelope activity.

154 Using ex vivo modeling of primary airway epithelial cells in organotyp

155 ed a major challenge for the high-throughput modeling of protein regulation and molecular mechanisms.

156 cular simulations and statistical mechanical modeling of protein synthesis, we demonstrate that force

157 Metabolic modeling of proteomic changes suggests an autonomous inc

158 GF-beta signaling in DCs and Treg cells; and modeling of psoriatic skin inflammation in mice lacking

159 Computational modeling of RAF1 dynamics revealed that RAF1 membrane ab

160 This optimization allows for accurate modeling of receptors using templates as low as 20% sequ

161 Using computational modeling of response time data, we found evidence for di

162 Modeling of resting-state and activated forms of C29S ag

163 Modeling of retinal photodamage revealed that plasma-med

164 d structure, we test herein whether parallel modeling of RNA homologs can improve ab initio RNA struc

165 IKV biology, we used SHAPE-MaP to inform the modeling of RNA secondary structure throughout the genom

166 standardization of comparative tests in the modeling of RNA structure.

167 Similarly, modeling of rosette formation with menadione (MN), led t

168 ication was through Cox proportional hazards modeling of ROX association with HFNC outcome.

169 Structural modeling of RTY elucidated the relationships between str

170 Ab initio modeling of SANS shows that the oligomers formed from th

171 progressive cerebellar atrophy, but genetic modeling of SCA13 by expressing this pathogenic mutant i

172 MM-TF) method which integrates probabilistic modeling of scRNA-Seq data with the ability to assign TF

173 Moreover, computational chamber modeling of secondary organic aerosol formation will bec

174 Effective modeling of semivolatile organic chemical (SVOC) partiti

175 We show that statistical modeling of single drug response from drug combination d

176 cells into myotubes enables in vitro disease modeling of skeletal muscle diseases.

177 ides a way forward to improve the predictive modeling of small molecule bioactivities and properties.

178 resents the first use of structural equation modeling of social media data with the goal of analyzing

179 orts to bring principles of physics into the modeling of sociological phenomena this must be addresse

180 Here, the design, fabrication, and modeling of soft electrothermal actuators based on laser

181 Although some important advances in the modeling of sorption and hygrothermal deformations of na

182 From the modeling of spectra and maps of the valence state over l

183 We describe the framework MMSplice (modular modeling of splicing) with which we built the winning mo

184 Statistical modeling of structural features described by intrinsic p

185 nces can provide critical information to the modeling of structure and function of unknown proteins.

186 Modeling of SUGP1 loss and mutations in cell lines showe

187 Joint modeling of survival and health status can address this

188 esults illustrate the importance of accurate modeling of temporal relationships between time-varying

189 known regulatory relationships, or flexible modeling of TF activity over the regulon.

190 Lastly, mathematical modeling of tGD spread within populations reveals potent

191 Theoretical modeling of the actin network as an active gel suggests

192 Modeling of the As K-edge extended X-ray absorption fine

193 Taken together, modeling of the baseline hazard function of hypertension

194 Computational modeling of the behavioral data unmasked a learning defi

195 Modeling of the behavioral data using a prominent sequen

196 Modeling of the carbene, using the (U)MPWB1K/cc-pVTZ//(U

197 ubstituted cyclobutane product via atomistic modeling of the CdSe surface and substrates, determinati

198 of enteric fever can improve evaluation and modeling of the costs and benefits of enteric fever prev

199 r cost of illness can improve evaluation and modeling of the costs and benefits of enteric fever-prev

200 Modeling of the cytosolic N-terminal domain of Vph1 iden

201 The procedure includes homology modeling of the DARPin, modeling of the flexible parts o

202 Modeling of the density maps reveals how electrostatic i

203 totic and/or lethal phenotype, and therefore modeling of the disease has proved challenging.

204 ach cell type enabled three-dimensional (3D) modeling of the distribution of virus particles within a

205 ture of the aptamer and enable computational modeling of the docked complex with RT.

206 itative analyses and subsequent mathematical modeling of the dose-response data uncover two crucial p

207 and sorting experiments are complemented by modeling of the droplet motion in the channel flow using

208 Structure modeling of the Drosophila CTLH complex suggests that su

209 e and statistical techniques that facilitate modeling of the dynamic processes of each individual's p

210 ded the FEP+ protocol to enable the accurate modeling of the effects on protein stability from prolin

211 The method is based on acoustoelasticity modeling of the elasticity changes in bladder tissue mod

212 Subsequent electric circuit modeling of the electrical impedance results the capacit

213 Here, computational modeling of the electrophoretic drug delivery device is

214 state are reported, along with computational modeling of the emissive excited states of representativ

215 Further modeling of the flexible C-terminal tail of Ric8A indica

216 re includes homology modeling of the DARPin, modeling of the flexible parts of a target, rigid body d

217 and norm enforcement, and neurocomputational modeling of the formation and updating of social prefere

218 roaches: live cell microscopy; computational modeling of the full genome during G1 in budding yeast,

219 Modeling of the gas-phase structures and dissociation ch

220 osphodiesterase 3A (PDE3A); however, in vivo modeling of the genetic defect and thus showing an invol

221 nt viral subtyping enables visualization and modeling of the geographic distribution and temporal dyn

222 productivity that will aid the budgeting and modeling of the global carbon cycle.

223 yumov-Gerasimenko and three-dimensional (3D) modeling of the independent concentric sets of layers th

224 Computational modeling of the influence of the inhomogeneous effective

225 Three-dimensional modeling of the interaction between MIR200C-3p and the o

226 Hence, accurate modeling of the intra- and interannual variability of fo

227 ned with three-dimensional thermo-mechanical modeling of the January 2009 collapse of the Nathorst Gl

228 KIF3AA, and KIF3CC followed by computational modeling of the KIF3AC phosphate release transients.

229 our findings in the context of chromatin gel modeling of the large-scale organization of mitotic chro

230 In vitro modeling of the latent HIV reservoir in memory CD4(+) T

231 Third, molecular modeling of the LG2 domain suggests that the V1727F muta

232 Modeling of the ligand-CCK2R complex suggests that an ad

233 nting an important step toward comprehensive modeling of the MHC class I pathway.

234 nstream of Crp in combination with metabolic modeling of the microbiota in metformin-treated type 2 d

235 Homology modeling of the modifying enzyme DpdA provides insight i

236 ure developments should improve mathematical modeling of the MR signal based on more complex systems

237 Sequence comparison and structural homology modeling of the N-terminal domain of LtpM uncovered a re

238 using profiling techniques and bioinformatic modeling of the network effect of multiple miRNAs.

239 Topological analysis and simulation modeling of the network suggests CD8(+) T cells undergo

240 Integrated modeling of the PET-captured concentration-time profiles

241 Following the discussion of theoretical modeling of the piezoelectric materials to convert mecha

242 Modeling of the polyMOFs showed that in the IRMOF-1-type

243 Both statistical modeling of the population level covariation of alleles

244 Modeling of the potential roles of RNA in transcriptiona

245 Proper modeling of the process is important for infertility and

246 rformed spatially-resolved metabolic network modeling of the prostate cancer microenvironment.

247 ilieu, followed by identification and atomic modeling of the proteins.

248 maging with (18)F-FDG followed by mathematic modeling of the pulmonary uptake rate (K(i)) is the gold

249 The predictive modeling of the Raman spectroscopic data is performed us

250 Computational modeling of the reaction mechanism reveals a principal r

251 Molecular modeling of the recessive c.1633C>T (p.Arg545Cys) varian

252 and the patterns observed and to improve the modeling of the relationship between SIF and GPP over br

253 Implementing complex modeling of the relationships between individual dynamic

254 However, modeling of the remaining 83% is hindered by the low seq

255 Molecular modeling of the resulting Michael adduct suggested stabi

256 AXS) and exploited the scattering profile in modeling of the Ric8A/miniGalpha(i) complex by steered m

257 ge on DNA interactions in bulk solution, the modeling of the same interactions on a surface are still

258 Here, we perform structural modeling of the SARS-CoV-2 spike glycoprotein.

259 er on acquisition schemes or on mathematical modeling of the signal.

260 Michaelis-Menten modeling of the single-light pulse revealed no significa

261 Mathematical modeling of the stochastic process of cancer evolution c

262 Modeling of the structure of the C-terminal part of Opi3

263 To assist with accurate pharmacokinetic modeling of the training cohort, a method for contour-gu

264 Modeling of the UDP-GlcNAc donor supports a direct displ

265 the effects of these interventions, based on modeling of the unfolding epidemic.

266 ionship was further studied by computational modeling of the variable domain of the antibodies (varia

267 Complementing these molecular findings, modeling of the variants on solved protein structures sh

268 entify HT channel based on the structural 3D modeling of the viable myocardium within areas of dense

269 The mathematical modeling of their spatio-temporal dynamics can provide s

270 Theoretical modeling of thermal deformations provides a clear unders

271 ncentrations of substrates and computational modeling of these data to discern possible binding modes

272 Computational modeling of these findings suggests that FSIs can modula

273 Modeling of these pathological changes requires both spa

274 One-dimensional reaction-diffusion modeling of these soil profiles suggests that subsurface

275 for further improvements in the theoretical modeling of these systems.

276 Prognostic modeling of this association suggests that increased EBV

277 ameworks, including multiscale, multiphysics modeling of this complexity, are fueled by the data and,

278 ipotent stem cell methodology enabled better modeling of this disorder.

279 states suggests accurate quantification and modeling of this feedback is essential for predicting EN

280 Dynamic causal modeling of this interaction revealed that vmPFC drove a

281 Computational modeling of this phenomenon reveals that miRNAs cause no

282 Three-dimensional modeling of this variant has indicated that it likely ca

283 Improper modeling of those relationships often results in spuriou

284 of our integrated web service for structural modeling of three-dimensional genome (3D-GNOME), which n

285 tral evolution and "Out of Africa" dispersal modeling of trait evolution.

286 mbining our sequencing data and mathematical modeling of transcription, we found that Xrn1 modulates

287 NNs have not yet been applied to thedetailed modeling of transcriptional control in which mRNA produc

288 This allowed the simultaneous modeling of tumor dynamics and inter-animal variability.

289 Using Hidden Markov modeling of two acoustic and four movement variables, we

290 ecessary for improved predictive geochemical modeling of U(VI) adsorption in the environment.

291 d experiment is achievable now regarding the modeling of ultrafast photoinduced processes in complex

292 ion from longer contextual patterns improves modeling of UV mutations, which may enhance discriminati

293 ing feature of MutPred2 is the probabilistic modeling of variant impact on specific aspects of protei

294 retain disease-related signatures, allowing modeling of vascular aging and HGPS in vitro.

295 wn of a critical regulatory gene, and permit modeling of viral infection.

296 s of childhood deaths are mainly premised on modeling of vital registration and limited verbal autops

297 a fully atomistic and polarizable classical modeling of water coupled with a quantum mechanical desc

298 Here, we use improved modeling of weakly deleterious mutations and the demogra

299 experiments pave the way to first-principles modeling of whole living cells.

300 cells expressing human ZnT10 with molecular modeling of ZnT10 cation selectivity, we show that ZnT10