ライフサイエンスコーパス: computationally

1 rotocol to obtain optimal stapling positions computationally.

2 he E-P bonds was examined experimentally and computationally.

3 oisomeric thiofuranosides experimentally and computationally.

4 e, and typically very challenging to analyze computationally.

5 t is imperative that this problem is tackled computationally.

6 y, spectroscopically, electrochemically, and computationally.

7 ceptor(1) conjugates both experimentally and computationally.

8 To make these models computationally accessible to applied geneticists, we wr

9 challenging to validate any cluster obtained computationally, an important problem barely addressed b

10 h allows image distortions to be compensated computationally and an accurate hyperspectral data cube

11 d version to analyze micropipette aspiration computationally and analytically and explore the effect

12 We validate LipidCreator assays computationally and analytically and prove that it is ca

13 We show computationally and analytically how bistability, biphas

14 , the electronic structure of 2 was examined computationally and compared with the previously reporte

15 mechanistic underpinnings were assessed both computationally and experimentally.

16 e affinity and Cu dissolution, as determined computationally and experimentally.

17 and examining its optoelectronic properties computationally and experimentally.

18 bases and base pairs previously studied only computationally and in the gas phase.

19 The advent of biocatalysts designed computationally and optimized by laboratory evolution pr

20 of neutral phospholipids are also evaluated computationally and ranked experimentally.

21 dged species were studied experimentally and computationally, and their properties were compared with

22 Disorders of compulsivity have been framed computationally as a deficit in model-based control, and

23 long-range haplotype information that can be computationally assembled to generate chromosome-spannin

24 We computationally assess a strain's sensitivity to an oxid

25 ability, conformation, and interactions were computationally assessed using our comprehensive suite o

26 -lived excited state (tau = 4 ns), which was computationally assigned as a metal-to-ligand charge tra

27 uture generations of biologists must be more computationally aware and capable.

28 idity and carbon dioxide capture is explored computationally, both in the gas phase and in ionic liqu

29 ously reported experimentally determined and computationally calculated CCS using projected superposi

30 park, and friction sensitivity measurements, computationally calculated explosive properties, and the

31 rin conformations is both experimentally and computationally challenging because of limitations in re

32 se kinship coefficients in large datasets is computationally challenging because the number of relate

33 Still, these approaches remain computationally challenging for any complex and large ma

34 rise to dynamics that can be used to perform computationally challenging tasks.

35 Even in simple systems this approach can be computationally challenging, and can lead to large uncer

36 It is computationally challenging, however, to accurately prio

37 t high resolution remains experimentally and computationally challenging.

38 ined level, but atomistic simulations remain computationally challenging.

39 from single-cell RNA-Seq (scRNA-Seq) data is computationally challenging.

40 ome while allowing for up to e mismatches is computationally challenging.

41 oinformatics and computational biology is to computationally characterize sequences, structures and f

42 minant adult malignant brain tumor, has been computationally classified into molecular subtypes whose

43 Integrative structure modeling computationally combines data from multiple sources of i

44 py for single cells in a nonlinear matrix is computationally complex due to the variable cell shape,

45 or shorter runtime by excluding relevant but computationally costly predictive inputs.

46 filter that remarkably reduces the need for computationally costly sequence alignment.

47 entropy of a system is a crucial, and often computationally costly, step in understanding its thermo

48 equency of each annotation from manually and computationally created databases and clustering informa

49 We computationally define differentiation trajectories of v

50 cation of highly interactive regions (HIRs): computationally defined regions of the genome purportedl

51 for example, relating dopamine function to a computationally defined RL signal).

52 ves to Bayesian Networks since they are less computationally demanding algorithms.

53 Necessary calculations are, however, computationally demanding and lead to long processing ti

54 f younger adults' choices was predicted by a computationally demanding Bayesian approach.

55 efficient alternative to time-consuming and computationally demanding molecular simulations.

56 In the past, highly computationally demanding research was associated primar

57 software revealed that our algorithm is less computationally demanding, it performs significantly fas

58 erence and is advantageous because it is not computationally demanding, provides easy-to-interpret re

59 relation between observed reaction rates and computationally derived activation energies for differen

60 tal deviation (TD) at each location; and (3) computationally derived archetype VF loss patterns.

61 These computationally derived observations support a role for

62 Computationally derived pK(aH) values of quinolinoquinol

63 The computationally derived RDIs across the Cancer Cell Line

64 er, these lines of evidence confirm that our computationally derived RDIs faithfully represent a meas

65 Here we computationally design epitopes that mimic such surface

66 ighlight challenges that must be overcome to computationally design such systems.

67 In this study, we have computationally designed a multi-epitope vaccine using s

68 mprising a dominant negative mutant that was computationally designed and that impairs epithelial-to-

69 The implementation of computationally designed chiral nanoceramics for biomime

70 cribe the creation and characterization of a computationally designed circular tandem repeat protein

71 dies demonstrate that treatment with a novel computationally designed Pfn1-actin interaction inhibito

72 airments in LTF and LTEE can be rescued by a computationally designed spaced training protocol, which

73 We first computationally designed the ACE2-RBD interface using a

74 NanoMIP were computationally designed using "in-silico" insulin epito

75 ction rates exponentially correlate with the computationally determined highest occupied molecular or

76 Guided by this computationally determined mechanism, we designed ligand

77 as compared with previous experimentally and computationally determined results.

78 We computationally dissected the electronic and geometrical

79 subregions of Broca's area that likely play computationally distinct roles in cognition: one belongs

80 We computationally distinguished discrete versus continuous

81 The proposed method is found to be computationally efficient (requiring 35 times less compu

82 We also design a computationally efficient algorithm based on the moment

83 With a computationally efficient algorithm, which is based on p

84 Computationally efficient all-atom structure-based simul

85 ly investigated over the past few years as a computationally efficient alternative to time-consuming

86 Our approach is computationally efficient and can be proficiently used e

87 The algorithm is computationally efficient and can be used to rank the en

88 els are more parsimonious, more robust, more computationally efficient and easier to interpret than g

89 It is computationally efficient and suitable for inclusion in

90 However, current tools do not provide a computationally efficient and versatile implementation o

91 Pixel-DL is a computationally efficient approach that enables for real

92 We present computationally efficient approximants that estimate sta

93 well-characterized hydration effects using a computationally efficient classical mean field method.

94 parison is driven by an average of a certain computationally efficient comparison metric between Gaus

95 vides a highly accurate attribution which is computationally efficient for extended genotypes.

96 chemistry calculations in an accessible and computationally efficient manner.

97 ombined with DFT calculations, can provide a computationally efficient means to predict properties of

98 Our computationally efficient method for quantifying IBD seg

99 In summary, CHESS is a computationally efficient method for the comparison and

100 As a result there is an increasing need for computationally efficient methodologies to perform meani

101 An accurate and computationally efficient molecular level description of

102 We develop a computationally efficient network-based method, Ohm, to

103 OADP uses a computationally efficient online singular value decompos

104 architecture, multi-channel 2.5D U-Net, for computationally efficient prediction of fluorescence ima

105 how that these calculations can be used as a computationally efficient proxy to establish whether a s

106 eep learning has shown promising results for computationally efficient reconstructions of highly acce

107 tations (SEER), an approach for improved and computationally efficient simultaneous color visualizati

108 seamlessly integrates several cutting-edge, computationally efficient techniques with other Python p

109 We show that GPLEMMA is more computationally efficient than LEMMA on large datasets,

110 al dimension is believed to render them more computationally efficient than the conventional artifici

111 dimensional representation of the data using computationally efficient variational inference and supp

112 The pipeline is computationally efficient with portability to a wide ran

113 The proposed test is easy to implement and computationally efficient, facilitating its application

114 listic upgrade of the existing methods to be computationally efficient, tractable, and equipped with

115 step, the algorithm is easy to implement and computationally efficient.

116 -state energy of cyclobutadiene, while being computationally efficient.

117 atasets being generated, the methods must be computationally efficient.

118 Emulation can provide a more computationally-efficient output of the individual-based

119 m to obtain near-optimal approximations in a computationally efficiently manner.

120 address these limitations by demonstrating a computationally enhanced methodology for quantitative ph

121 ed and novel ring systems can be readily and computationally enumerated, the synthetic accessibility

122 t deconvolution algorithms can be applied to computationally estimate cell-type proportions from gene

123 We also computationally evaluate the effects of oriented externa

124 BionoiNet is a lightweight alternative to computationally expensive 3D architectures.

125 However, GuideScan is a serial program and computationally expensive for designing CRISPR guide RNA

126 ws of the same sample, but these methods are computationally expensive for large datasets.

127 cs (MD) can model confinement effects but is computationally expensive in comparison.

128 ng (or between) ancestries without requiring computationally expensive individual-level genotype data

129 scaling method, successfully reproduced the computationally expensive MD results using relatively ch

130 phase morphologies without having to perform computationally expensive simulations.

131 present an ensemble approach where one such computationally expensive tool, discrete element method,

132 s application in creation of a framework for computationally expensive transient models has not been

133 of variants being queried, such tasks can be computationally expensive with a runtime ranging from fe

134 ate quantum chemical calculations, which are computationally expensive.

135 anometer accuracy in three dimensions but is computationally expensive.

136 puting secondary structure features which is computationally expensive.

137 can be systematically improved but are more computationally expensive.

138 hods can be used to reduce artifacts but are computationally expensive.

139 This can often lead to models that are computationally-expensive to analyse and perform model f

140 This reactivity was further computationally explored, and the governing factor could

141 to accurately calculate the P-value so that computationally extensive procedures (e.g. permutation o

142 d many bacteria, this 2D segmentation can be computationally extruded into the third dimension.

143 ew the basic fine-mapping approach, which is computationally fast and requires only summary data, but

144 e not too similar to each other, and is also computationally faster.

145 ject and demonstrate that ReQTL analyses are computationally feasible and can identify a subset of ex

146 n data available from diverse populations, a computationally feasible and cost-effective approach is

147 be a plasmid-centric framework that makes it computationally feasible to analyze gene flow in complex

148 We computationally fitted a continuum model to our experime

149 A total of 6354 co-polymers was considered computationally, followed by the synthesis and photocata

150 ues, combining gene expression profiles with computationally generated metabolic flux data to predict

151 Our study provides a computationally grounded explanation of human suboptimal

152 Basic catalytic principles, computationally guided design approaches and intrinsic d

153 The computationally guided design of a reactive secondary fu

154 We performed computationally-guided identification of the Rb:hIgG1 bi

155 operations and find analogue solutions to a computationally hard graph-partitioning problem.

156 specific analog computing platforms to solve computationally hard problems.

157 that the associated computational problem is computationally hard.

158 itations of this study are that it relies on computationally identified cell types and that patients

159 yl nodes slightly below the Fermi energy are computationally identified for beta-TaFeTe(4), indicatin

160 Computationally identified gene activation trajectories

161 e accuracy with which noncoding rSNPs can be computationally identified.

162 Validating the computationally-identified RLFS, R-loop formation was ex

163 The aim of this study is to computationally identify biomarker genes for lung cancer

164 Here we computationally identify candidate orthogonal tRNAs from

165 vivo murine lung primordial progenitors and computationally identify signaling pathways, such as Wnt

166 machine learning methods were widely used in computationally identifying PAS, the need for tremendous

167 The mathematical model is computationally implemented for a three-dimensional TME,

168 still no consensus about how this process is computationally implemented.

169 in the superior olive (SOC) as well as other computationally important centers.

170 ispair tautomerization processes are studied computationally in aqueous solution, in A-form and B-for

171 sing values separately for each variable was computationally inefficient, but dividing sites at rando

172 data, depend on tunable parameters, and are computationally inefficient.

173 nges in variance or autocorrelation offers a computationally inexpensive method which can be used in

174 subjected to medium or low magnetic forces, computationally inexpensive models can be safely employe

175 nat-siRNAs are limited in number and can be computationally infeasible to use.

176 approaches are often considered accurate yet computationally infeasible.

177 Although it is possible to computationally infer cell-cell forces from a mechanical

178 We computationally infer chromatin potential as a quantitat

179 Genomes computationally inferred from large metagenomic data set

180 pressing native human precursors, instead of computationally inferred germline sequences, to HIV broa

181 d progenitor and differentiating states with computationally inferred lineage relationships.

182 NeTFactor uses a computationally-inferred context-specific gene regulator

183 80% of repetitive DNA, is a very complex and computationally intense endeavor.

184 A Galaxy platform conducts computationally intensive analyses and Apollo, a collabo

185 ds, we explore alternative, direct, and less computationally intensive approaches to capture radial C

186 get reads while most mapping methods require computationally intensive basecalling.

187 Computationally intensive disciplines such as computatio

188 tracurricular efforts already exist for many computationally intensive disciplines, their support of

189 ng and simulated phase libraries rather than computationally intensive global search algorithms.

190 ng in-vitro and in-vivo experiments, or more computationally intensive in-silico analyses.

191 surrounding the cell and without performing computationally intensive inverse force reconstruction a

192 thin a divide-and-conquer framework to scale computationally intensive methods for species tree estim

193 ions match or exceed those generated by more computationally intensive methods.

194 atio-temporal phenomenon that often requires computationally intensive microscopic models for analysi

195 ally lack a graphical user interface, can be computationally intensive or have a limited scope.

196 still highly time-consuming, requiring many computationally intensive processing steps (i.e. the rot

197 xt generation-sequencing pipelines, the most computationally intensive step is the alignment of reads

198 However, these methods are too computationally intensive to be used to construct differ

199 MI is computationally intensive when imputing missing covariat

200 However, they are typically computationally intensive, require extensive data, and a

201 Since prediction of buried group pKas is computationally intensive, solvent accessibility of ioni

202 While this is computationally intensive, Vargas uses multi-core parall

203 moving technical batch effects, but most are computationally intensive.

204 al Fourier shell correlation (FSC), which is computationally intensive.

205 tional simulation-based approaches are often computationally intensive.

206 e fits to experimental data rapidly becoming computationally intractable for models possessing more t

207 f a target chemical in a chassis organism is computationally intractable.

208 y of the associated Bayesian networks become computationally intractable.

209 goal of this study is to experimentally and computationally investigate combination trastuzumab-pacl

210 Using agent-based models, we computationally investigate the dynamics of phosphorylat

211 Computationally investigating an alternative mechanism f

212 Computationally mimicking the flow of biological informa

213 Recent strategies to computationally model MNWs from the nano- to macroscale

214 We computationally modeled the local accessibility to endon

215 We computationally modeled the surface of the human tongue

216 orm a putative Turing network, which we have computationally modelled.

217 second program that is similarly popular and computationally more efficient (i.e., ADMIXTURE).

218 Computationally, multisite lambda-dynamics simulations a

219 This computationally opens up the stability-constrained chara

220 Computationally optimized broadly reactive Ags (COBRA) t

221 of hemagglutinin (HA) antigens derived using computationally optimized broadly reactive antigen (COBR

222 earch group has pioneered the development of computationally optimized broadly reactive antigens (COB

223 The validation results show that computationally optimized experimental designs have the

224 M-MS) measurements are routinely compared to computationally or experimentally derived protein struct

225 Examining cells along a computationally ordered 'pseudotime' offers the potentia

226 We show that, computationally, our diverse behavioral results can be a

227 Computationally, our results show that the higher thermo

228 Training algorithms to computationally plan multistep organic syntheses has bee

229 In addition, we computationally predict a diverse set of other putative

230 esions progress towards malignancy, which we computationally predict will alter extensile tensions on

231 ation on experimentally verified (known) and computationally predicted (new) interactions between 549

232 Computationally predicted DeltaG agree with these result

233 ng paradigm regarding the biological role of computationally predicted EBOV ncRNAs.

234 Here we built the first computationally predicted gene regulatory network (GRN)

235 Computationally predicted infrared (IR) spectra are show

236 ce could nevertheless be identified by using computationally predicted IR spectra of several potentia

237 Computationally predicted magnitude of the thermal gradi

238 In this study, computationally predicted SSEs with desirable material q

239 unexplored quasi-binary TMDC alloys through computationally predicted stability maps.

240 Our studies computationally predicted that (R)-DHMA should promote a

241 fries/EWAK* in osprey computationally predicted that this new variant binds ev

242 essively adopt alternate lineage identities, computationally predicted to be mediated through a commo

243 ur sequencing data that were near-matches to computationally predicted viral miRNAs reported in the l

244 a significant transcriptional repression of computationally-predicted endogenous target P450 detoxif

245 We present a machine learning framework for computationally predicting frequencies of drug side effe

246 Computationally predicting miRNA-disease associations ha

247 Computationally predicting the functions of genes has be

248 ides deep insights into the best practice of computationally prioritizing cancer mutation candidates

249 Images are then computationally processed to obtain three-dimensional st

250 M application to genome-scale models remains computationally prohibitive.

251 In particular, it allows us to computationally quantify the potential effectiveness of

252 massive data collection are methods that can computationally reconstitute the complete transcriptome

253 secreted factors and cell surface genes, and computationally reconstruct cross-talk between these cel

254 To solve this outstanding problem, we computationally reconstructed 3D tissue geometry from mi

255 It was computationally reconstructed for the first time to the

256 We propose PolyFun, a computationally scalable framework to improve fine-mappi

257 ous collections of genome sequences, we need computationally scalable tools that can quickly contextu

258 on, metabolism and excretion in humans-using computationally scaled data from multiple fluidically li

259 In this study, we computationally screen effective forces between 1) centr

260 We computationally searched the human Ab variable gene repe

261 electropolymerization in the presence of two computationally selected and cysteine modified epitopes

262 processing such data, spectral deconvolution computationally separates ions that are in the same mass

263 hierarchical RL, a biologically inspired and computationally simple algorithm, can capture human beha

264 R), (d) maintains adequate power, and (e) is computationally simple to implement.

265 The computationally simulated BD dentate gyrus neurons had a

266 clustering by sequence similarity and can be computationally slow.

267 stopathologic segmentation and generation of computationally stained (stainless) images is possible,

268 this rudimentary model can be predictive, we computationally studied two tautomeric quadruple hydroge

269 f azomethine imines and allenoates have been computationally studied.

270 transcriptional profiles were identified by computationally subtracting muscle gene signatures.

271 e probe have been studied experimentally and computationally, suggesting an intersystem crossing to t

272 sed to perform simulated 'brain transplants'-computationally swapping controllers and plants between

273 ally (applying the Lippert-Mataga model) and computationally (TD-DFT calculations), the pronounced ch

274 in silico design of protein models that are computationally testable in the microsecond-millisecond

275 Here we show computationally that amines and acids can couple via hun

276 It has been demonstrated computationally that the resonance frequencies for the s

277 We show, both experimentally and computationally, that drug-induced arrhythmias are domin

278 Further, we design computationally the donor-acceptor complexes based on (6

279 Herein, we studied experimentally and computationally the formation, acidity, and nucleophilic

280 Here, we study, experimentally and computationally, the mechanics of gas percolation under

281 Computationally, the t-butyl group contributes to stabil

282 Computationally, this was driven by a reduction in learn

283 thin its Raman spectrum is first established computationally through a scattering matrix method.

284 perimentally through mutagenesis studies and computationally through direct interrogation of differen

285 Here, we develop a computationally tractable 3D model (implemented as a sim

286 Our methods are widely applicable, computationally tractable for many conditions and availa

287 ectron quantum mechanical behavior through a computationally tractable quantity-the electron density-

288 tacle to this goal arises from the lack of a computationally tractable solution that can recover thes

289 FBA), which is numerically more accurate and computationally tractable than existing approaches.

290 els, and offer researchers a powerful set of computationally tractable tools with which to investigat

291 ystem scattering calculations to investigate computationally two molecular models of water, TIP4P/200

292 ntilated before and after lavage injury, and computationally using a viscoelastic respiratory model.

293 ed 15 very small fragments (VSFs) (HA <= 11) computationally, using site identification by ligand com

294 amics approaches can provide answers but are computationally very expensive.

295 of complex demographic events such as REs is computationally very intensive.

296 Computationally, we consider too much precision afforded

297 dies were undertaken both experimentally and computationally, which revealed that the reaction procee

298 reported by Denton et al., has been studied computationally with omegaB97X-D density functional theo

299 ts have been investigated experimentally and computationally with the aid of crystallographic data.

300 We revisited briarellins, computationally, with the help of a recently developed h