ライフサイエンスコーパス: computational

1 domain, and provides a further proof of the computational abilities of the scheme.

2 Most importantly, the computational ability to switch on and off hydrogen bond

3 ork approaches, which have been forwarded as computational accounts of the ventral stream, are consis

4 drug-target affinity data, yielding superior computational accuracy required to improve drug design.

5 The convergence of empirical and computational advances opens new frontiers of scientific

6 The computational algorithms developed to identify this type

7 Existing computational algorithms lack statistical assessment of

8 to develop efficient statistical methods and computational algorithms to construct or merge a complet

9 Computational analyses indicate that astrocyte-localized

10 sis (scTDA), an algorithm for topology-based computational analyses to study temporal, unbiased trans

11 alysis, a workflow that enables reproducible computational analyses.

12 Computational analysis confirms these materials undergo

13 spectroscopy (RI-NMR), kinetic studies, and computational analysis has enabled the generation, obser

14 Computational analysis of gene expression to determine b

15 Computational analysis of some of the cores synthesized

16 Computational analysis of the results reveals major diff

17 Computational analysis of these probes revealed a conver

18 Our computational analysis showed that the output dynamics a

19 We undertook an extensive computational analysis using a unique and comprehensive

20 tron transfer properties is investigated via computational analysis, time-correlated single photon co

21 Using computational analysis, we describe the structural and p

22 of multiplexing PCR, targeted sequencing and computational analysis.

23 tamine (MA), the current study sought to use computational and biochemical analyses to characterize d

24 rties of Granger-Geweke (GG) causality, both computational and conceptual.

25 We combined computational and experimental approaches to compare ene

26 With the advances in instrumentation, computational and mathematical techniques, this technolo

27 methodologies are still not available to the computational and medicinal chemistry communities.

28 gen genetics and human ecology, coupled with computational and methodological innovations, is amplify

29 Based on our combined computational and mutagenesis studies of MhsT and LeuT,

30 rushes, as well as an ever increasing set of computational and simulation tools that allow understand

31 We here employ computational and structure-guided design to develop imp

32 We review recent advances in the fields of computational and systems biology and highlight opportun

33 Electrochemical, computational, and spectroscopic studies substantiated t

34 te the propagation of contrast material into computational anthropomorphic phantoms for estimation of

35 e steps of data manipulation, we developed a computational approach (bootstrapping) to propagate unce

36 We demonstrate the combined experimental and computational approach for de novo sequencing using whol

37 We present a novel two-step computational approach for identification of master regu

38 An alternative computational approach is to match the detected features

39 The computational approach models variations in single myosi

40 The computational approach presented here could be a first s

41 We concluded that BNNPT is an efficient computational approach to test nonlinear correlation in

42 Using a computational approach, we identified seven phytopathoge

43 elium through an integrated experimental and computational approach.

44 will develop and benchmark experimental and computational approaches for measuring genome conformati

45 e methods for scaffold hopping, a variety of computational approaches have been successfully applied.

46 is, data intersection, pathway analysis, and computational approaches including linear discriminant a

47 sequencing in combination with systems-based computational approaches to investigate the complexity o

48 To address this, we have developed novel computational approaches to model the association betwee

49 p that reflect memory processing) and review computational approaches to the analysis of sleep-associ

50 multiplying and spreading, a fault-tolerant computational architecture is required.

51 The computational biology approach and the BP database devel

52 Bioinformatics and computational biology play a critical role in bioscience

53 In computational biology, modeling is a fundamental tool fo

54 with anatomical data to create a multilayer computational biomechanical model of the organism and ac

55 approximate string matching problem, is the computational bottleneck because: (i) it is implemented

56 , decreased classification accuracy and high-computational burden.

57 to explain the improvements in MAOS and how computational calculations can be used as a predictive t

58 The computational challenge can be dealt with, in part, by e

59 tainties that impose several statistical and computational challenges to the reliable detection of va

60 this technology has also raised several new computational challenges.

61 sing electrophysiological, morphological and computational characterization of these mutants, we prop

62 ons of their magnetic, crystallographic, and computational characterization to literature compounds g

63 is review provides an overview of the use of Computational Chemistry in MAOS to provide a theoretical

64 Computational chemistry research into reaction intermedi

65 assay)) or alternatively on the basis of the computational cluster assay (this does not require any r

66 on a change-point based method with optimal computational complexity and desirable accuracy.

67 an evolutionary workaround for reducing the computational complexity of song learning in zebra finch

68 the identification of evoked spikes, with a computational complexity that is compatible with real-ti

69 To combat this problem of computational complexity, a plethora of heuristic algori

70 y this type of variation are usually of high computational complexity.

71 thm has been developed to greatly reduce the computational cost and facilitate model selection and in

72 ), one effective strategy used to reduce the computational cost is shot-encoding, which encodes all s

73 from neurons as close as 20 mum apart, at a computational cost three orders of magnitude less than t

74 ted essentially completely with little added computational cost.

75 In addition to the decreased computational demand compared to previous bacterial geno

76 nsus mutations" approach, and the second was computational design based on DeltaDeltaG calculations i

77 We describe a general strategy for the computational design of homo-oligomeric protein assembli

78 , there is no general method for the de novo computational design of multicross-linked proteins with

79 (or an earlier step in the pathway) for the computational design to product release for the evolved

80 All the computational detection and prediction experiments were

81 A computational DFT-B3LYP structural analysis of a poly ph

82 genesis, molecular dynamics simulations, and computational docking to analyze GRK5 interaction with t

83 te that DrugPredict represents an innovative computational drug- discovery strategy to uncover drugs

84 ovel drug discovery strategy that combines a computational drug-repositioning system (DrugPredict) wi

85 When mathematical and computational dynamic models reach infinity in finite ti

86 cally, and more broadly, underlie the neural computational dysfunction prototypical of schizophrenia.

87 tperform several established methods in both computational efficiency and prediction accuracy.

88 Regarding the computational efficiency of LLR, a novel expectation-max

89 tures across all scales, DiScrn achieved 66% computational efficiency while also achieving comparable

90 To improve computational efficiency, we describe an new importance

91 er-fragment) likelihood, while retaining the computational efficiently of the compatibility-based fac

92 The present work is a novel computational effort to provide insight on the mechanism

93 Despite extensive experimental and computational efforts to understand the nature of the hi

94 improved agreement between experimental and computational enthalpies of O2 binding.

95 Placing computational evidence in the context of experimental da

96 We provide experimental and computational evidence that conformational flexibility c

97 With a computational experiment that simulates an intervention

98 Computational experiments are scriptable and should be e

99 We performed computational fluid dynamics (CFD) simulations to determ

100 d modeling (ABM) and hemodynamic effects via computational fluid dynamics (CFD).

101 Using computational fMRI, we show parallel encoding of effort

102 nation of protein structures using a smaller computational footprint, we saw the need for a fast and

103 proposes a first step toward an alternative computational framework in which neural activity in each

104 e results also demonstrate that our proposed computational framework provides a useful alternative fo

105 We propose a computational framework to accurately predict the Global

106 Here we describe an automated computational framework to annotate ions for possible ch

107 sed modelling approaches within a consistent computational framework, Chaste.

108 The results represent the most complete computational functional analysis of proteins comprising

109 The move of computational genomics workflows to Cloud Computing plat

110 rimental discovery of two structure types by computational identification of the region of a complex

111 This is the first study to identify computational impairments during decision making in gene

112 Improving the accuracy of computational inference methods can significantly reduce

113 mparable to RNA sequencing, and suitable for computational inference of the expression levels of 81%

114 Computational insights have given reasons for their stab

115 (1)H NMR analysis and computational investigation of the alpha-epimer revealed

116 ) simulations and among the most widely used computational kernels in science.

117 We provide an emergentist perspective on the computational mechanism underlying numerosity perception

118 Here, we characterize neural and computational mechanisms underlying this form of social

119 In this study, we integrated a computational method and a yeast surface display techniq

120 We present miRvial, a robust computational method and companion software package that

121 METHODS AND FFRangio is a computational method based on rapid flow analysis for th

122 substantial efforts, no generally applicable computational method has been described.

123 In this study, we used an image-based computational method on pan-cytokeratin IHC stainings to

124 Here, we have developed a novel computational method that allows us to impute drug respo

125 Here, we present an integrated experimental-computational method that enables quantitative compariso

126 In this article, we introduce SiNVICT, a computational method that increases the sensitivity and

127 Computational methods are widely used to study IDPs, how

128 be driven by mathematical, statistical, and computational methods being absorbed into mainstream bio

129 macology approach combining experimental and computational methods can guide antibiotic selection for

130 Although many computational methods exist to predict plant protein sub

131 interest in combination of experimental and computational methods for enantiosensing of chiral molec

132 allenges has been to develop statistical and computational methods for epidemiological forecasting, b

133 Existing computational methods for particle picking often use low

134 As a result, computational methods for predictioning new drug-target

135 While modern computational methods have been developed to describe th

136 Computational methods have been developed to guide synth

137 Computational methods have been developed to predict the

138 Many computational methods have been proposed for the predict

139 Hierarchical ensembles are efficient computational methods that guarantee biologically meanin

140 Developing integrative computational methods to analyze these diverse types of

141 efore, there is a great demand in developing computational methods to identify chromatin accessibilit

142 Here, we use computational methods to investigate small numbers of bo

143 zyme-structural and genomic information with computational methods to rapidly identify enzymes and mi

144 otein structural data enables development of computational methods to systematically derive rules gov

145 Compared with three state-of-the-art computational methods, CCmiR had a higher recall and a h

146 In light of some limitations of existing computational methods, we developed a global network ran

147 Our model is supported by different computational methods-LD simulations, Monte Carlo simula

148 Here, we used a unique approach connecting a computational model closely with experimental data.

149 We demonstrate that a computational model for beta oscillations in Parkinson's

150 A computational model independently predicts that context-

151 In a computational model of a local RT network featuring slow

152 Here, we provide a computational model of binocular rivalry.

153 association between RPEs and happiness in a computational model of momentary mood dynamics (z = 4.55

154 em into our previously developed dimer-scale computational model of MT dynamics.

155 We developed a computational model of spinal circuits consisting of fou

156 Results show that computational model of texture homogeneity along the per

157 e, we constructed and validated a predictive computational model of the cardiac mechano-signaling net

158 We present a novel computational model of the healthy basal ganglia, constr

159 Our computational model reproduced the regular pacemaker-lik

160 Finally, a computational model reproduces behavioural results, by i

161 ants on reinforcement learning tasks using a computational model that was adapted to test if predicti

162 We have developed a computational model to address these questions.

163 flammation to altered lung mechanics using a computational model.

164 reduced drug resistance both in vitro and in computational model.

165 nd each is very close to their corresponding computational model.

166 he analysis of spatial biases), and Bayesian computational modeling (in the analysis of individual su

167 oaches, from anatomy to electrophysiology to computational modeling and behavior.

168 Computational modeling and cellular mutational analysis

169 This review explores recent advances in computational modeling and empirical research aimed at a

170 Through an iterative process of computational modeling and experimental tests, we found

171 Furthermore, by combining computational modeling and the BiLC reporter assay, we i

172 Computational modeling can aid in identifying neural gen

173 Behavioral results and computational modeling confirmed that learning was best

174 Computational modeling evaluates drug vascular extravasa

175 Computational modeling indicated that Group II motoneuro

176 Finally, computational modeling of 25 missense mutations of CYP11

177 transcranial magnetic stimulation (TMS) with computational modeling of behavioral responses.

178 data set provides a rich resource for future computational modeling of E. coli gene regulation, trans

179 Computational modeling performed with the all-atom MD si

180 ogenetic control of Rho-kinase combined with computational modeling reveals that active Rho-kinase di

181 Computational modeling studies revealed that HN is prefe

182 To fill this gap, we combined computational modeling with functional neuroimaging.

183 A combination of spectroscopy, computational modeling, and crystallography has identifi

184 cal modeling and verifying our findings with computational modeling, we infer a causal relationship,

185 Computational modelling of the heart tube during develop

186 We combine computational models and in vivo recordings to study the

187 Computational models are increasingly important in confr

188 ubstantial body of empirical work and recent computational models have characterized the specific rol

189 Biomechanical computational models have potential prognostic utility i

190 Computational models of betaS fibril structures indicate

191 are going to be a milestone for instructing computational models of brain function.

192 This result has important consequences for computational models of reinforcement learning.

193 The computational models predicted large strain most promine

194 Our computational models reproduce these results and highlig

195 We used these pCREs to develop computational models that can better predict salt up-reg

196 Herein, we review the state-of-the-art computational models that describe liver dynamics from m

197 on database thus lowers the bar on exploring computational models, helps users create valid simulatio

198 e abilities in compulsive participants using computational models, where these enable a segregation b

199 ed interaction geometries to improve current computational models.

200 BIO PIs considered a range of computational needs important to their work, including h

201 range of RNA-seq applications and their high-computational needs require the development of pipelines

202 when sampling from these models, as done in computational neuroscience to analyze statistical proper

203 microcircuit motif to perform a fundamental computational operation on neural activity patterns.

204 t of subsampling bootstrap on prediction and computational parameters.

205 trating high precision, and finally assessed computational performances compared to other tools.

206 w generation of voxel-based, realistic human computational phantoms developed by the RADAR committee

207 Further, we build an automated computational pipeline to reconstruct phylogenies and an

208 reference-based ribosome assembly (RAMBL), a computational pipeline, which integrates taxonomic tree

209 We automated these tasks via a novel computational pipeline.

210 proved quantitative tools, we have developed computational pipelines to identify extracellular traps

211 We tested this computational platform by detecting variations in mechan

212 ces, there exists a need for a comprehensive computational platform integrating all these sequences w

213 Computational prediction of mutation impacts on protein

214 se a novel method, piRNAdetect, for reliable computational prediction of piRNAs in genome sequences.

215 mployed an integrated approach that combines computational predictions with new experimental studies

216 Computational predictions, which were biochemically vali

217 uman neuroimaging observations converge with computational predictions.

218 confirmed in primary visual cortex (V1), its computational principles apply with equal validity to an

219 cts evolutionarily driven differences in the computational principles governing specialized circuits

220 To address this computational problem, it is important to optimize the v

221 with multiple branches remains a challenging computational problem.

222 es significant speed-up for certain types of computational problems.

223 exchanged, the quantities to be traded, the computational procedures, and even some of the performan

224 he used analysis tools to reduce the overall computational processing time, and concomitantly reduce

225 Here, we present a computational protocol for accurate detection and groupi

226 relevant crystal structures, validating the computational protocol.

227 Computational psychiatry aims to apply mathematical and

228 y be used to guide differential diagnosis in computational psychiatry and computational psychosomatic

229 al diagnosis in computational psychiatry and computational psychosomatics.

230 o decrease the Degrees-of-Freedom (DoFs) and computational requirements.

231 use such networks usually engage substantial computational resources, the handling of which requires

232 e workflow and optimizing usage of available computational resources.

233 Our combined experimental and computational results demonstrate that the microporosity

234 Our computational results indicate the presence of through-s

235 Both experimental data and computational results suggest that the ability to tune t

236 We validated computational results through an extension of Flux Balan

237 ibitory interactions can implement different computational rules such as vector averaging, winner-tak

238 y comparing the output of a well-established computational saliency model with the activation of neur

239 n inaccessible to most users due to the high computational scaling of conventional algorithms and acc

240 This computational sensing technique can find numerous uses i

241 d-prediction errors that function as the key computational signatures of two distinct classes of RL m

242 Computational simulation of the experimental EPR spectra

243 By combining computational simulation, two-photon imaging, optogeneti

244 Our computational simulations suggest that dendrodendritic s

245 Here, we combined computational simulations with analysis of in vivo two-p

246 Using computational simulations, we identify specific mechanis

247 perspective on emerging network biology and computational solutions to exploit these phenomena for c

248 ical alignment results as NCBI-BLAST and its computational speed is much faster than that of NCBI-BLA

249 -sequence databases grows exponentially, the computational speed of alignment softwares must be impro

250 Both computational strategies agree on the nature of the rate

251 Using a computational strategy on a library of 46 656 heparan su

252 Computational studies are then surveyed in terms of the

253 Computational studies comparing ClBcat with BCl3 as an a

254 Both experimental and computational studies find that 2D CTGU-5 which has coor

255 Guided by computational studies for the final structure assignment

256 Computational studies identify the cause as interligand

257 Recent spectroscopic and computational studies increasingly support iron as the s

258 Computational studies indicate that increased stabilizat

259 Although computational studies indicate that these exceptionally

260 m the basis of disease- and patient-specific computational studies of hereditary diseases affecting t

261 Structural analysis and computational studies of MalA' in complex with three sub

262 iew presents an overview of state-of-the-art computational studies on subnanosecond events in rhodops

263 This paper reports experimental and computational studies on the mechanism of a rhodium-cata

264 s on the photophysical, electrochemical, and computational studies was investigated.

265 eriments and density functional theory (DFT) computational studies were performed to determine the bi

266 ural information from X-ray crystallography, computational studies, and NMR solution conformational a

267 We report herein a computational study based on hybrid QM/MM umbrella sampl

268 A computational study by molecular docking was made to com

269 This computational study extends work reported previously in

270 The experimental and computational study here of a beta-ketoacid decarboxylat

271 Here, we report an ab-initio based computational study of thermal transport in nanocrystall

272 We present the first computational study that explicitly accounts for detaile

273 Our combined experimental-computational study unravels the folding-functional land

274 A combined experimental and computational study, using mechanically controlled break

275 tems supporting human cognition and emerging computational systems capable of emulating these capacit

276 rmation processing, for example, in advanced computational systems, smart actuators, and programmable

277 -power-consumption operation for specialized computational tasks.

278 We present a simple non-invasive computational technique that, when coupled with experime

279 These methods highlight the importance of computational techniques in fMRI analysis, especially ma

280 tallography, nuclear magnetic resonance, and computational techniques reveal the distribution of stat

281 e Ni(I)-CO species through spectroscopic and computational techniques reveals fundamentally similar f

282 al psychiatry aims to apply mathematical and computational techniques to help improve psychiatric car

283 d a combination of behavioral, molecular and computational techniques to test the role of the microbi

284 We review the computational theory underlying this proposal and the em

285 ite the wide adoption of TI-seq, there is no computational tool currently available for analyzing TI-

286 ere identified and used to build a web-based computational tool for the genome-wide detection of AARS

287 Here, we present iMet, a computational tool that facilitates structural annotatio

288 sent CRISPulator, a Monte Carlo method-based computational tool that simulates the impact of screen p

289 A computational toolkit (AARON: An automated reaction opti

290 However, current downstream computational tools fail to reliably determine regulator

291 sively validate our framework using existing computational tools from the literature.

292 rall, our results highlight the potential of computational tools to elucidate causal mechanisms under

293 on-scale tumor genomics, creating a need for computational tools to separate contributions of multipl

294 Deploying a range of computational tools, we obtain four estimates of their c

295 he way for hardware that directly mimics the computational units of Bayesian inference.

296 ave instead of the intensity as the state or computational variable.

297 his paper, we review recent experimental and computational work pertaining to the capture of several

298 ng object motion and self-motion, and recent computational work suggests that a linear decoder can ap

299 We present CloudNeo, a cloud-based computational workflow for identifying patient-specific

300 ent approaches and specific obstacles within computational workflows limit the translation of existin