ライフサイエンスコーパス: modeling of

1 iodistribution, dosimetry, and brain kinetic modeling of (11)C-JNJ-42491293 were determined in humans

2 Accurate kinetic modeling of (123)I-mIBG requires both BPR and metabolite

3 dy demonstrated accurate noninvasive kinetic modeling of (18)F-florbetaben PET data using a dual-wind

4 Finally, computational modeling of 25 missense mutations of CYP11B1 revealed th

5 The quantitative modeling of a combination of polygenetic, plastic, epist

6 Joint modeling of a number of phenotypes using multivariate me

7 Modeling of a proposed Tdp2 reaction coordinate, combine

8 Network interactive modeling of a set of these genes indicated central roles

9 arative evolutionary analysis and structural modeling of ABHD5 and ABHD4, a functionally distinct par

10 ation, and be used as input for the improved modeling of aerosols and their role in global climate pr

11 Population pharmacokinetic modeling of all results simultaneously revealed a two st

12 uman studies with PF-04958242, and in silico modeling of AMPAR-NMDAR interactions in the hippocampus,

13 f single B cells combined with computational modeling of antibody structures to evaluate sequence and

14 Advanced modeling of aqueous data shows that the sorption isother

15 phy (GC x GC) measurements, which enable the modeling of aqueous partitioning for n-C8 to n-C26 fract

16 Homology modeling of Aspergillus fumigatus DHODH has identified a

17 chloride (CCl4) are derived based on inverse modeling of atmospheric observations at multiple sites a

18 ion channels will enable multicompartmental modeling of auditory nerve responses elicited by afferen

19 Using fMRI combined with computational modeling of behavioral data, we show that human risk-pre

20 p, we combined human fMRI with computational modeling of behavioral performance in a delayed color-es

21 king memory by combining fMRI with cognitive modeling of behavioral performance, in human participant

22 agnetic stimulation (TMS) with computational modeling of behavioral responses.

23 ence of ~25 A demonstrated with the accurate modeling of beta-galactosidase and TRPV1 proteins at 3.2

24 Structure modeling of binding conformation between mutant LEP(I14)

25 form for spatial, stochastic, particle-based modeling of biochemical systems.

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

27 Homology modeling of BjNRAMP4.1 suggested that it could be redox

28 Employing time resolved modeling of blood oxygen level dependent (BOLD) response

29 Structural modeling of both complexes demonstrated that heme bindin

30 activation energies affords accurate kinetic modeling of both isothermal and nonisothermal decomposit

31 Hence, in silico modeling of brain co-expression is an efficient method f

32 nd 2-compartment, 5-parameter tracer kinetic modeling of brain regions was performed.

33 Finally, modeling of cancer evolution shows that alteration depen

34 didate to explore tissue-scale, personalized modeling of cancer growth for two main reasons: First, i

35 Computational modeling of cardiac cellular electrophysiology has a lon

36 The statistical modeling of CDC kinetics reveals the significant circadi

37 We combine theoretical modeling of cell migration in a tail-bud-like geometry w

38 of the progress and future perspectives for modeling of central nervous system disease and brain dev

39 ssical/quantum approach to perform realistic modeling of chiral counterion catalysis in solution.

40 ly enhanced through predictive, quantitative modeling of chromosome dynamics of multiple loci.

41 matically convenient approach for systematic modeling of cis-regulation.

42 riminant Analysis (PLS-DA), Soft Independent Modeling of Class Analogies (SIMCA) and K-Nearest Neighb

43 class-modeling techniques (soft independent modeling of class analogy (SIMCA), unequal dispersed cla

44 Disease-specific, time-updated modeling of clinical data for several uveitides suggests

45 Modeling of cocaine pharmacokinetics in NAc showed that

46 present a hierarchical framework that allows modeling of coding point mutations.

47 ntum chemistry calculations, and theoretical modeling of collective dipole interactions in tubulin to

48 Using structural equation modeling of commensurate scores of anterograde memory fr

49 elevant in the natural world and improve the modeling of complex diseases of free-living mammals.

50 Three-dimensional modeling of Complex II suggested that several SIRT5-targ

51 ls-clustering of high-dimensional spaces and modeling of complex many-state systems-with those of the

52 emonstrate that the proposed approach allows modeling of complex production technology mixes and thei

53 Accurate structure modeling of complex RNA motifs, including ubiquitous non

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

55 ethod represents a key step towards reliable modeling of complex, real-world microbial communities, s

56 f reaction of these species was evaluated by modeling of concentration profiles obtained through (19)

57 Using dynamic causal modeling of concurrently collected EMG-fMRI data in two

58 Dynamical simulation codes enable modeling of conformational changes, but may require cons

59 lization combined with quick and interactive modeling of conformational changes, even of large comple

60 he shape of the typical flight path, (2) the modeling of covariance and anisotropy, and (3) the type

61 Structural modeling of Cox15 suggests these two mutations affect pr

62 Here, we review recent studies in which modeling of craniofacial disorders in primary patient ce

63 lities between categories of BP using Markov modeling of cross-sectional data from the National Healt

64 The theory and modeling of crystalline materials is in some sense a sol

65 of developing molars and jaws, computational modeling of cusp patterning, and tooth explants cultured

66 Extension of our findings via modeling of degassing trends suggests that a decrease in

67 stages of drought, we used Bayesian network modeling of differentially expressed transcription facto

68 Cell culture modeling of diseases can benefit from cornea organoids t

69 will be particularly important for in vitro modeling of diseases of old age.

70 modeling of predicted protein structures and modeling of docked protein structures.

71 Modeling of docking of oxidizing species on the ds-oligo

72 y projections based on daily ecohydrological modeling of downscaled climate forecasts indicate overal

73 In this article, we consider the individual modeling of drug responses to tumor and normal cells and

74 des a rich resource for future computational modeling of E. coli gene regulation, transcription, and

75 Shp-1) and C-terminal Src kinase, and we use modeling of early TCR signaling to reveal the significan

76 lities and on molecular dating, fossils, and modeling of Earth's paleoclimate.

77 hese parameters for use in future predictive modeling of eDNA transport.

78 Structural analysis and modeling of EhACK indicated steric hindrance by active s

79 hemical characterization and the theoretical modeling of electron traps in nanocrystalline rutile TiO

80 efficacy of the SCAN functional for accurate modeling of electronic structures of layered materials i

81 DelPhiForce web server enables modeling of electrostatic forces on individual atoms, re

82 ment of detailed SCP networks for predictive modeling of emergent whole cell functions.

83 cies distribution models (SDMs), mechanistic modeling of endotherm distributions remains limited in t

84 and therefore may be broadly applicable for modeling of epithelia.

85 ategy that may be employed in the structural modeling of equilibrium intermediate states observed in

86 We conclude that future LCIA modeling of ES could benefit from the harmonization with

87 We applied Dynamic Causal Modeling of evoked electromagnetic responses recorded by

88 e generally, our study shows how mechanistic modeling of existing clinical data can help realize the

89 A four-step process of high-quality modeling of existing data, deconstruction, identificatio

90 Kinetic modeling of experimental results for the ensuing M584E/E

91 work activity locations from data, with the modeling of flexible activities (e.g., other) in space a

92 Our simulations include modeling of free-carrier absorption in both cell electro

93 Previous structural analysis and modeling of GCPs suggest that all family members can pot

94 We combine mathematical modeling of genome evolution with comparative analysis o

95 s for large bulky residues, incorporated the modeling of glycans on the surface of gp120, and utilize

96 he interpretation of experiments and for the modeling of glyoxal chemistry both at the interface of w

97 GP regression modeling of high-resolution time-series growth data enab

98 on of the phase diagram as well as practical modeling of high-temperature properties.

99 Molecular modeling of HIV-1 integrase, together with biochemical d

100 o peptides are obtained via implicit solvent modeling of homo- and heterodimers and analysis of inter

101 d hemispheric upgradings of climato-economic modeling of human behavior.

102 new class of in vitro systems for functional modeling of human brain development.

103 ndings have major implications for PDX-based modeling of human cancer.

104 ing of these properties to inform multiscale modeling of hyporheic exchange and biogeochemical proces

105 Population modeling of in vivo results further showed that neutroph

106 tes the developing shift from the structural modeling of individual molecules to that of cell biology

107 high-density data that facilitated structure modeling of individual proteins.

108 Modeling of interactions with the extracellular pore in

109 s provide an essential experimental base for modeling of intracellular Min gradients in bacterial cel

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

111 ll, our data support the use of mathematical modeling of intratumoral Darwinian interactions of envir

112 Furthermore, modeling of intrauterine conditions has indicated a subs

113 orm for studies of human kidney development, modeling of kidney diseases, nephrotoxicity and kidney r

114 The modeling of land use impacts on biodiversity is consider

115 ently storing, normalizing and dose-response modeling of large high-throughput and high-content chemi

116 This shows that the GUI makes modeling of large macromolecules accessible to a wide au

117 predictive power, and can be applied to the modeling of large RNA architectures.

118 the transdisciplinary pillars related to the modeling of LCIA on ES by conducting a critical review a

119 age constraint and a Monte Carlo refinement modeling of lead isotopes, we place the likely Pitcairn

120 Spatially explicit modeling of leaf water transport pointed to a role for r

121 Computational modeling of light-induced electron-transfer processes in

122 eviation (MD) was calculated with multilevel modeling of longitudinal data.

123 Accurate atomic modeling of macromolecular structures into cryo-electron

124 Modeling of macromolecular structures involves structura

125 To facilitate modeling of macromolecules into cryo-EM density maps, fa

126 a useful tool for all researchers working on modeling of macromolecules, structure prediction, proper

127 Functional modeling of many adult epithelia is limited by the diffi

128 approach opens up the way to high-resolution modeling of many more peptide-protein interactions and t

129 we describe a new method, based on numerical modeling of mass spectra of metabolically labeled dolich

130 Multivariate modeling of mass spectral fingerprints obtained in this

131 add a priori information in first-principles modeling of materials, and represents a significant step

132 Statistical modeling of measurements and thorough validation of stru

133 LSI modeling of MEDLINE abstracts provides a robust and auto

134 principles" for neurally inspired cognitive modeling of memory retrieval that has no biologically un

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

136 the only methodology that permits integrated modeling of Metabolism and macromolecular Expression (ME

137 The modeling of metal complexation by the biotic ligand has

138 ered that will further enhance the classical modeling of metal ion-containing systems.

139 s of detailed experiments and finite element modeling of metal micro-droplet motion associated with m

140 data into simulations toward the structural modeling of metastable, multidomain aggregation intermed

141 Recent advances in mouse modeling of MGUS suggest that the clinical dormancy of t

142 Modeling of microbial metabolism is a topic of growing i

143 Structural modeling of missense variants suggests deleterious effec

144 ark of the SCAN functional for the ab initio modeling of MnO2 to examine the effect of alkali-inserti

145 ES-based prevalence with logistic regression modeling of mortality data, listing acute or chronic HCV

146 can then be used as a basis for statistical modeling of MSI data.

147 performed DNA sequencing of the ORAI1 gene, modeling of mutations on ORAI1 crystal structure, analys

148 Using measurements and stochastic modeling of mycobacterial cell size and cell-cycle timin

149 Modeling of Nas6 into cryoelectron microscopy structures

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

151 junction assay has significant potential for modeling of neuromuscular disease and regeneration.

152 Here we use non-linear modeling of neuronal activity and bifurcation theory to

153 In this work, we report modeling of non-Markovian open quantum systems, consisti

154 Yeast modeling of novel missense YARS2 variants closely correl

155 ly photolysis of particulate nitrate, on the modeling of NOx abundance and O3 formation.

156 lobally introduce a large uncertainty in the modeling of O3 formation.

157 Future modeling of OA radiative forcing should consider the imp

158 censoring 365 days after prior screen, with modeling of occult cancers detected at RRSO.

159 as received little attention relative to the modeling of organic and inorganic complexation of metals

160 hat social cognition involves the predictive modeling of others' attentional states.

161 how that the addition of multiplexity in the modeling of our society generates qualitatively novel dy

162 efficient method oxBS-MLE based on binomial modeling of paired bisulfite and oxidative bisulfite dat

163 Through novel statistical modeling of paired-end DNA-sequencing data using blood-d

164 DOCK is a novel computational method for the modeling of parallel homodimers formed by transmembrane

165 Linear mixed modeling of partial-volume-corrected [(11)C]PBR28 data r

166 n of personalized targeted therapies involve modeling of patient sensitivity to various drugs and dru

167 nd translational studies, including in vitro modeling of PD.

168 ng functional neuroimaging and computational modeling of perception, we identified processes that dif

169 Modeling of phenotypes for multilocus genotype classes i

170 guistic prediction and suggest that internal modeling of phonological representations aids language p

171 Here we employ detailed quantum transport modeling of photocurrent in graphene field-effect transi

172 Kinetic modeling of photocurrents generated from ChR2 proteins w

173 Spectral modeling of photoelectrons can serve as a valuable tool

174 asets for electron collisions enable complex modeling of plasma-using technologies that empower our h

175 transplanted cell migration, bioinformatics modeling of PPC transplantation into light-damaged retin

176 network analysis, Protein Databank queries, modeling of predicted protein structures and modeling of

177 ogical interpretation resulted from in vitro modeling of primary or stem cell-derived human CNS cells

178 s the limits of knob-socket based structural modeling of protein contacts.

179 Using kinetic modeling of protein dynamics, we classified the stimulus

180 ions in a proteome, computational prediction/modeling of protein interactions is a prerequisite to pr

181 The traditional computational modeling of protein structure, dynamics, and interaction

182 onformational space, and applications in the modeling of protein structure, dynamics, and interaction

183 Atomic modeling of protein-protein interactions requires the se

184 esidues can therefore assist with structural modeling of proteins.

185 l biology offer new prospects for cell-based modeling of psychiatric disorders.

186 In conclusion, using mathematical modeling of published and newly generated data, we have

187 ave also been implemented, including SALIGN, modeling of quaternary structures, DOPE scores, disulfid

188 logic parameters is based on pharmacokinetic modeling of radiotracer biodistribution, which requires

189 e analysis was conducted using 2-stage joint modeling of random and fixed effects of longitudinal dat

190 nd earthquake rupture behavior, allowing for modeling of realistic slip profiles for use in seismic h

191 Peptide alanine-scanning mutagenesis and modeling of receptor-bound sCT and AC413 supported a sha

192 Based on the structural modeling of RepC and on our experimental evidence, we pr

193 ceptor development and allow for more robust modeling of retinal degenerative disease in vitro.

194 y from multiple factors and develop accurate modeling of RNA-seq reads in comparison.

195 In this work, compartmental and spatial modeling of rule-based models has been implemented withi

196 Preclinical animal modeling of S. aureus relies on experimental infection,

197 e Mann-Whitney test, and logistic regression modeling of sample adequacy were performed.

198 An EEMs PARAFAC modeling of samples collected within 16 km of the wellhe

199 man SE cell development and pave the way for modeling of SE-derived tissue development, studying dise

200 well established fragment-based approach for modeling of segments into cryo-EM density maps (termed F

201 Based on waveform modeling of seismic compressional waves that are reflect

202 Molecular modeling of selected target compounds bound to Top1, Tdp

203 ly, illustrate the power of circuit-inspired modeling of sensory processing.

204 A long-standing problem in modeling of shock response of metals is the ability to m

205 pal neuron cultures with spatial mechanistic modeling of signaling pathways in the CA1 pyramidal neur

206 veloped to assist analysis and computational modeling of single-pass (bitopic) transmembrane (TM) pro

207 Mathematical modeling of soft actuators is an area that is still in i

208 asurements from mice of either sex to inform modeling of sparse and filopodia-bearing mossy fibers, f

209 us solvation can enable efficient multiscale modeling of spatial organization driven by hydrophobic a

210 Structural modeling of SpoIIIAG generated a 24-member ring with dim

211 Drawing from statistical modeling of survey data from German residents, we find t

212 Using slice recordings and modeling of synaptic activity at cerebellar granule cell

213 Structural modeling of SynDIG1 suggests that the membrane-associate

214 ell biology has emerged that synthesizes the modeling of systems-level aspects of stem cells with hig

215 at, when news coverage is uniform, efficient modeling of temporal topic trends using time-series regr

216 PK-PD modeling of tenofovir (TFV) in plasma, female reproducti

217 sistent with results obtained from molecular modeling of the alpha-beta subunit interface and suggest

218 Molecular modeling of the altered protein showed that three of the

219 Computational homology-based modeling of the B virus gD-nectin-1 complex revealed con

220 Such process requires modeling of the brain using graph theory and the subsequ

221 thase domains have been identified, allowing modeling of the complete intersubunit interface.

222 momultimer with high Mr In silico prediction modeling of the complex structure and bimolecular fluore

223 Modeling of the conformational free energy landscape (FE

224 Corresponding theoretical modeling of the CsPbBr3 NC density of states and band st

225 hin ionomer films was evaluated by numerical modeling of the current transients, which revealed that

226 Thus, modeling of the data proved to be a valuable analytical

227 Mathematical modeling of the data that accounts for fundamental immun

228 sed differences between conditions by linear modeling of the data.

229 Computational modeling of the decarbonylation pathway with partial pho

230 tion enhancement- and CSP-NMR-guided HADDOCK modeling of the dimer-dimer interface of the heterotetra

231 Modeling of the disease in zebrafish revealed that ARPC1

232 rporating such constraints is key to improve modeling of the distribution of biodiversity in the past

233 Comparative modeling of the DNA-binding domain of human HSF1 facilit

234 the domains and were used to guide homology modeling of the ECD.

235 in the activation process, and atomic-level modeling of the effects of missense mutations on recepto

236 Multilevel modeling of the effects of preschool and school-age mate

237 s work suggests that a detailed and accurate modeling of the electrical transport is also key for the

238 Herein we report the experimental study and modeling of the electron-transfer gated ion transport pr

239 al reactivity was confirmed by computational modeling of the electronic structure.

240 echanism of this phenomenon by computational modeling of the energy barrier that the system must over

241 Molecular modeling of the energy landscape reveals a lower barrier

242 For these reasons, a new approach based on modeling of the evaporation process was developed to det

243 Demographic inference and modeling of the evolution of rare variants suggest lower

244 Because adequate modeling of the evolutionary process that generated the

245 electronic spectroscopy (2DES) and Redfield modeling of the experimental data.

246 Preclinical modeling of the fibrotic process remains challenging, pa

247 Modeling of the fractionation during Fe(III) sorption to

248 Computational modeling of the FTIR spectra showed good agreement with

249 Accompanying this, independent molecular modeling of the full-length AM-bound AM1 and AM2 recepto

250 angle x-ray scattering (SAXS)-based ensemble modeling of the full-length P protein and several of its

251 ionary and biochemical analyses and homology modeling of the Galpha and RGS proteins to address their

252 Computational modeling of the germinal center response suggested that

253 rface sites and quantified via diffuse layer modeling of the GO acid/base titrations.

254 Moreover, modeling of the half-saturated configuration suggests th

255 Structural modeling of the HAP2/GCS1 protein family predicts that t

256 questions, with emphasis on fate mapping and modeling of the hematopoietic flow from stem cells towar

257 ments of dimer-DNA assembly with mechanistic modeling of the implicated protein-protein-DNA interacti

258 solution, cryo-EM maps can drive integrative modeling of the interaction, assembling existing structu

259 benefit from improved, in-silico structural modeling of the kinase's solution ensemble.

260 Statistical modeling of the MDR ER data demonstrated that an increas

261 Modeling of the methylation levels for a CpG site in the

262 Direct modeling of the multispin effects on DEER signal allowed

263 Modeling of the N-terminal structure suggested that the

264 The DFT simulation and kinetic modeling of the nitroso oxide transformations as well as

265 Finally, structural modeling of the PARP3-active site with different PARP in

266 Modeling of the photoelectron spectrum of the ortho isom

267 Latent class linear mixed effects modeling of the ratio of FEV1 to FVC was used to identif

268 Computational modeling of the relative energies of the glycoside-deriv

269 ments and summary measures from longitudinal modeling of the repeated measurements were compared with

270 ons with coevolutionary analysis and network modeling of the residue interactions.

271 Modeling of the segregation based on conformational entr

272 Computational modeling of the six-membered 3',5'-cyclic phosphoester r

273 Monte Carlo simulation modeling of the study blood glucose monitoring system sh

274 ations in the LFP, we combined computational modeling of the subthalamo-pallidal network for the gene

275 Modeling of the time dependence of these signals then pe

276 A low-dimensional biomechanical modeling of the whale's U-fold (vocal folds homolog) is

277 ically active alkoxide intermediate, and DFT-modeling of the whole reaction sequence.

278 Analysis and modeling of these experiments show that not all catalyst

279 Modeling of these Gigantic jets suggests that Gigantic J

280 Modeling of these integrations suggests that the previou

281 Accurate modeling of these interactions is challenging due to the

282 Probabilistic modeling of these lag times revealed that one slow and s

283 Finally, 3D modeling of these mutations on their protein structures

284 Predictive modeling of these processes remains an open challenge, e

285 In the theoretical modeling of these structures, we adopt a hierarchical mu

286 Computational modeling of thiocillin's macrocyclic structure revealed

287 Theoretical modeling of this behavior reveals the pushing and pullin

288 will enable consistent and robust predictive modeling of this phenomenon for different applications.

289 Quantum modeling of this stereoselectivity at the omegaB97X-D/De

290 Computational modeling of tissue morphogenesis reveals how spatiotempo

291 ons of pairwise relationships and regression modeling of total and weekly outbreak counts.

292 Modeling of transcriptional regulatory networks (TRNs) h

293 Computational modeling of trial-by-trial reinforcement learning furthe

294 bles monitoring of tumor growth, as shown in modeling of tumor progression.

295 Using generalized linear modeling of UMRV infection overlaid on biotic and abioti

296 data, computational tractability, and joint modeling of unknown confounders and biological signals.

297 Because of technical obstacles, preclinical modeling of UTI in male mice has been limited.

298 me scales, but its application to the growth modeling of van der Waals (vdW) heterostructures has not

299 Computer modeling of WT and mutant STAT1 molecules showed variati

300 Homology modeling of YdgR, Cam docking, and mutational studies su