ライフサイエンスコーパス: predict

1 MOFs have been synthesized and over 500,000 predicted.

2 structures with various glycan residues were predicted.

3 ounced in cases carrying TP53 mutations with predicted 0% transcriptional activity (HR = 1.53, 95% CI

4 the time an index patient was diagnosed and predicted 1-year incident TB by including additional con

5 We predict 27 potential circadian kinases to participate in

6 In addition, we computationally predict a diverse set of other putative defense genes th

7 hus, elevated levels of IRE1alpha and IGFBPs predict a poor response to drugs inducing unresolvable U

8 average, scRNA-seq data from only five genes predicted a cell's position on the cell cycle continuum

9 With adaptation, the model predicted a substantially higher crop yield.

10 However, predicting a conserved RNA structure remains unreliable,

11 ined scores showed favorable performance for predicting a poor outcome (AUC > 0.750), and were better

12 s the observed low dip angle of the slab and predicts a detailed stress pattern related to bending do

13 varicella delays the onset of herpes zoster, predicts a transient increase in the incidence of herpes

14 However, the predicted ABC exporter fold of IrtAB is seemingly contra

15 be limitations of pairwise contacts alone to predict absolute 3D positions.

16 onanchor residue, for which we find that the predicted absolute binding affinity is predictive of imm

17 A 76-protein proteomic age signature predicted accumulation of chronic diseases and all-cause

18 Finally, we are able to predict accurately the temperature change in the North A

19 results showed that the model was capable of predicting accurately moisture and temperature distribut

20 adaptations, but do not conform to their own predicted adaptive peak.

21 g 3- to 15-month or 2- to 3-year samples can predict allergy status at age 4(+) years.

22 reast screening program has the potential to predict and identify poor performance in real life.(C) R

23 mean proportionate error (MPE) between iGFR-predicted and measured furosemide clearance was 30.0%.

24 tively straightforward, although progress in predicting and preventing recurrent pregnancy loss has b

25 a patients, a tumor-intrinsic NGFR signature predicts anti-PD-1 therapy resistance, and NGFR(hi) tumo

26 COMBAT can predict antibiotic efficacy in clinical isolates for qui

27 Predicting antidepressant treatment response has been a

28 A positive test result for timothy extract predicted ARg to 70%.

29 a, enabling the identification of genes that predict bacterial fitness.

30 We use metabolic modeling to predict basal ROS production levels (ROStype) for 695 of

31 DRP load resulted in a less severe HAB than predicted based on discharge volume.

32 Although many ligands were predicted based on sequence signatures, ligands of short

33 that take only protein sequence as input to predict binding of protein to DNA, RNA, and other protei

34 m climate change and provide a framework for predicting both when and where these events may occur.

35 l utilization of the EsVan models accurately predicts BSI risk and safely reduces unnecessary antibio

36 ons are diffuse, fire spread is difficult to predict, but should become increasingly predictable over

37 linically stable can have an FEV(1) >100% of predicted, but during an acute bronchospastic episode ca

38 As predicted by a simple mathematical model, increasing sig

39 that averaged peptide-deuteration levels, as predicted by an empirical model, agree with target value

40 asingly filled, diversity hits a plateau (as predicted by EC).

41 During human walking, step width is predicted by mediolateral motion of the pelvis, a relati

42 The ratios of microbial biomass to total SOC predicted by MIMICS agree well with independent observat

43 rply from the quartic temperature dependence predicted by the LKSR theory.

44 erences in survival but not in the direction predicted by theory.

45 Function is generally predicted by transferring annotations from homologous ge

46 show that over 80% of this variation can be predicted by two ecological factors-dry season intensity

47 nformaticians to analyze transcriptome data, predict causal regulations, assess network topology and

48 Geometric feature has been applied to predict cerebral aneurysm rupture, but not examined as p

49 f reported CIGs, and utilizes these codes to predict CIGs and their master regulators with high accur

50 structural reference data are available and predicts classes lacking tandem mass spectrometry traini

51 Here, we present a method for predicting clinically relevant motion parameters from an

52 , two major strategies are being pursued for predicting clinically relevant tumour behaviours, such a

53 ppy isolates; PFGE patterns did not reliably predict clustering by cgMLST analysis.

54 The deformation score also predicted cognitive performance over 1, 2, and 4 years i

55 task (e.g., neural activity in visual cortex predicting conscious perception of auditory near-thresho

56 The resulting estimates predict conservation cost with up to 8.5 times greater a

57 nature and extent to which the quality of a predicted contact map impacts the performance of contact

58 We discuss how PDNET can be used to predict contacts, distance intervals, and real-valued di

59 Predicting, controlling, understanding, and elucidating

60 We predicted coprevalent disease using information that cou

61 opologies from an RNA secondary structure to predict corresponding tertiary topologies, (b) RAG Build

62 e obtained models showed good performance to predict death (concordance index: 0.77-0.78).

63 We then used this model to accurately predict DeltaP (mean absolute error within 1.18 mmHg) an

64 ing-state connectivity between brain regions predict differential outcome to antidepressant medicatio

65 rity score specifically for COVID-19 to help predict disease severity and mortality.

66 To assess which memories predicted drinking, real-world behavior was assessed in

67 ch, we built gene expression-based models to predict drug sensitivity for 265 common anticancer compo

68 ngs of dimers discernible in the lattices we predict early assembly intermediates, and indeed we obse

69 ulated the reduction in length but could not predict effects on development of the liver, which was t

70 (Pearson's correlation = 0.93 when comparing predicted efficacies to measured efficacies for >5000 co

71 PPod:CR and albuminuria were equally good at predicting eGFR loss.

72 ion of Cardiovascular Imaging guidelines for predicting elevated pulmonary artery occlusion pressure

73 The total number of predicted endonucleases across the 20 NCLDV was nearly q

74 limits of agreements, and linearity between predicted fat fraction and MRI PDFF.

75 We find that the standardized predicted fitness of a strain, estimated by an NFDS-base

76 , extracting flow characteristic curves, and predicting flood hydrographs.

77 Extreme environmental conditions, as predicted for the end of the 21st century, could thus di

78 ociation between DHEA-sulfate and percentage predicted forced expiratory volume in 1 s (FEV(1)PP).

79 ld age, which is stronger than what would be predicted from parallel changes in overall brain anatomy

80 that the metabolism of PROTACs could not be predicted from that of their constituent ligands.

81 Two open reading frames predicted from the genomic islands coded for enzymes bel

82 mouse model, and experimentally validate the predicted function of an obesity-associated lncRNA, LINC

83 milies, and for association of variants with predicted functional impact in ~ 1300 additional Utah su

84 land carbon balance (S(net)) is important to predict future climate-carbon cycle feedbacks.

85 Reinforcement learning allows organisms to predict future outcomes and to update their beliefs abou

86 Sex, age, and number of atrophic foci predicted future progression rates with a cross-validate

87 model-based control, with a specific role in predicting future states given chosen actions.

88 In both species, predicted gene targets of differentially expressed miRNA

89 itative parameters and their combinations to predict GGG 1 vs >1, using logistic regression with a ne

90 would be considerably wider than originally predicted given revised CO(2) limits and (for the first

91 th fewer days of alcohol abstinence and also predicted greater number heavy drinking days during the

92 ability, and aggressive and impulsive traits predicted greater SI variability.

93 ut not former smoking or AAT concentrations, predicted greater spirometry decline.

94 ptor availability and lower dopamine release predicting greater improvements.

95 l phase and positively charged residues near predicted hairpin hinges that become less constrained in

96 healthy relative to healthier FF commercials predicted healthier food intake.

97 mation have yet to be elucidated, although a predicted helix-loop-helix (H-L-H) was suggested to form

98 s show that low-level multisensory processes predict higher-order memory and cognition already during

99 luded EAs with zero observations was used to predict hospital catchment for malaria admissions adjust

100 s work, we constructed a robust framework to predict how complex network behavior in DCvNs emerges fr

101 gest contrasting implications for efforts to predict how consumers will respond to climate change and

102 = 0.02) and dopamine release (P = 0.05) also predicted improvements in clinical functioning, with low

103 Based on these results, the predicted inactive conformation of GSK3beta can facilita

104 The asymmetric shape of model-predicted incidence and fatality curves is consistent wi

105 its known to promote vector exposure neither predicted infection probability nor parasite diversity.

106 deep residual neural network that learns to predict inter-residue distances and orientations from an

107 Future work will define the role of pMRI in predicting kidney graft and patient's survival.

108 f Frailty and Death) clock, which accurately predicts life expectancy and the efficacy of a lifespan-

109 and death receptor-6 (DR6) on MNs as the top predicted ligand-receptor pair.

110 s generated by CNN may have the potential to predict liver metastasis.

111 brain atrophy (derived from structural MRI) predicted longitudinal cognitive changes in patients wit

112 effect) and duration of untreated psychosis predicted lower FAAH (F(1,26.95) = 6.03, p = .021, Cohen

113 We demonstrate that plant traits can predict mean annual tree growth rates with moderate expl

114 ort, but the main computational approach for predicting metabolic network fluxes, flux balance analys

115 Predicted microbial functions were also impacted and net

116 For ssDNA, the predicted mobilities are close to the observed mobilitie

117 Predicted morbidity was calculated using the American Co

118 Our neural network predicts more accurate sub-compartment predictions when

119 pic mixtures to classify target diseases and predict mortality of patients in critical conditions.

120 l prognostic value, although its capacity to predict mortality risk in HIV-HCV-coinfected patients ha

121 d quantify these as a metric that accurately predicts mTORC1/LARP1 regulation called a TOPscore.

122 teristic curve (AUCs) were 0.84 and 0.86 for predicting N1 or higher (vs.

123 whole exome, and tumor mutational burden in predicting NAC response.

124 d mutation-specific T cell responses against predicted neoepitopes not detected before vaccination.

125 Here, validated, defined neoantigens, predicted neoepitopes, and mutations of driver genes wer

126 all RNAs, confirming known interactions and predicting new associations.

127 of a crwn4-2 missense allele that disrupts a predicted NLS and lowers the abundance of CRWN4 in the n

128 Most efforts to predict novel reservoirs of zoonotic pathogens use infor

129 g synthesized data, and moreover it can also predict observational recruitment data very well.

130 ensitivity and 91% [84%, 99%] specificity in predicting outcome of SARS-CoV-2 pneumonia.

131 te the relationship between the observed and predicted outcomes in the testing set, and use that rela

132 of the relationship between the observed and predicted outcomes.

133 Moreover, we show that the model accurately predicts participants' search behavior in different envi

134 evaluate the ability of IFV diameter to help predict PAS, placenta percreta, and peripartum complicat

135 arkers or clinical-grade assays developed to predict patient response and, ultimately, to help select

136 ing characteristics curve revealed that PGSs predicted patient survival more accurately than previous

137 n operator (LASSO) algorithm were applied to predict patients' progression-free survival (PFS) and ov

138 models trained with single-task learning for predicting patients' individual symptom trajectories, su

139 We found no association of genetically predicted PCOS with risk of diabetes, CHD, or stroke.

140 or characteristics of mechanical ventilation predict persistent respiratory morbidity at follow-up.

141 osting an estimated $588 M (2016 USD) led to predicted pintail population sizes <3 M when assuming av

142 sphate, and low 1,25D, but not FGF23, levels predicted poor renal outcomes.

143 ) aimed to detect any combinations of events predicting poor outcome as defined by a cumulative CCI >

144 ough other drivers, would allow us to better predict population fates and design mitigation strategie

145 ilibrium-based model assumptions may fail at predicting population dynamics across a wide range of an

146 results suggest that GCNCDA can effectively predict potential circRNA-disease associations and provi

147 Therefore, predicting potential endocrine disruption via exogenous

148 estation, a small GS and a large YS reliably predicted pregnancy loss.

149 We additionally applied a model predicting primary visual cortex responses to the set of

150 is was remarkably reduced after 25 h shifts (predicted probability 99.4% vs 78.8%), whereas there was

151 A difference in the predicted probability of achieving appropriate hand anti

152 These antibodies could predict prognosis or be potential intervention targets t

153 ction patterns between k-mers amino acids to predict protein crystallizability.

154 erating and utilizing models that accurately predict protein expression from promoter sequences would

155 l tools that accurately identify the hard-to-predict proteins and that make accurate predictions for

156 osynthetic family indicated that most of the predicted proteins of acrophiarin gene cluster exhibited

157 e cluster exhibited higher similarity to the predicted proteins of the pneumocandin gene cluster of t

158 ility to utilize the CCR5 receptor maps to a predicted protrusion in the envelope V3 loop, this viral

159 (CSLO) images to identify eyes with GVFD and predict quantitative VF mean deviation (MD), pattern sta

160 difficulties related to landmark coding, and predict recovery of allocentric strategies in geometrica

161 e variants to CARD, we are able to summarize predicted resistance using the information included in C

162 Peripheral eosinophilia predicted resolution.

163 glucocorticoid-mediated transrepression and predicted response to ICS through logistic regression mo

164 medicine approaches can be taken; another is predicting response to the numerous current and emerging

165 vs range for other tools, 0.660-0.695), and predicted risk correlated well with observed risk (calib

166 We estimated the 10-year predicted risk of CVD using the American College of Card

167 combination of risk variables works best for predicting risk of dementia in LMICs is needed.

168 The ability to rapidly predict SaB patient responses and guide personalized tre

169 We validated the previously developed PREDICT scoring tools for stratifying risk of IE, and th

170 plexity, has high proline content, and lacks predicted secondary structure.

171 Here, we address this issue by predicting sensing and communication degradation in term

172 ion, the mechanism leading to suppression of predicted sensory information remains unclear, and studi

173 The predicted silver concentrations were within 2-fold of ob

174 n-country and person-region value congruence predict six well-being measures (e.g., emotional well-be

175 sis of scalp hair of American individuals to predict soft biometric traits about the donors.

176 gly for a specific word, they do allow us to predict some upcoming information.

177 ced preincision infusion time, significantly predicted SSI (<24.6 min infusion, AUC = 0.762).

178 d set of clinical trials (accuracy > 84% for predicting statistically significant improvements in pat

179 dies have revealed consistent suppression of predicted stimulus information in sensory areas, but how

180 control models have shown great potential in predicting stomatal behavior and improving carbon cycle

181 Density functional theory was used to predict structural changes that occur upon spin transiti

182 known because of the inherent challenges of predicting structural features of integral membrane enzy

183 n irritability with antidepressant treatment predict subsequent levels of SI.

184 ry reactivation and subiculum representation predicted success when inferring indirect relationships

185 ficient methods to understand and accurately predict such representative features remains a grand cha

186 r self-harm ideation and self-harm behaviour predict suicide attempt, suicide thoughts and non-suicid

187 nostic markers, considering their ability to predict survival probability in FTLD.

188 mated to have persisted twice as long as the predicted survival time for selectively neutral nuclear

189 The maps predicted symptom improvement in an exploratory analysis

190 ruitment relationship is better than SFMs at predicting synthesized data, and moreover it can also pr

191 ugs affected expression or activity of their predicted target in the network, and decreased calcifica

192 ed sequences and share less than half of the predicted targets with the canonical form.

193 We predict that an intermediate neuronal type should tempor

194 perature, oxygen availability, and body size predict that global warming will limit the aerobic scope

195 Linear integration models predict that regions that are slower to integrate new in

196 Specifically, we predict that silicate-bridging [AlO(2)(OH)(4)](5-) compl

197 uctive potential and HSR function, one might predict that that HSR function would be lost in the repr

198 Climate-driven vegetation models typically predict that this tropical forest 'carbon sink' will con

199 It is predicted that the antibiotic resistance crisis will res

200 Our model predicts that increasing the impacts of infanticide will

201 Structural modeling predicts that SY242CS confers a conformational change th

202 The model predicts that, without immune escape, tumor neoantigens

203 h adaptation includes optimality models that predict the 0.2 exponent.

204 mics of the bulk liquid, we show that we can predict the activation energy for crystal growth rates,

205 xic of the constituents tested but could not predict the AFFF phenotype in larval zebrafish.

206 inear regression model that was developed to predict the boundaries (termed Theta(1) and Theta(2)) se

207 l rocky shore, we found that the capacity to predict the combined contribution of species to stabilit

208 to variously structured DNA is sufficient to predict the complex genomic behaviour of STRs, including

209 asurements, and (ii) an adversary trained to predict the confounder from that embedding.

210 ren with a first unprovoked seizure, ripples predict the development of epilepsy better than spikes o

211 of the relevant spin density matrix and thus predict the ESR spectra.

212 two empirical equations are rationalized to predict the hydrogen storage capacity of MOFs with diffe

213 Moreover, the model was used to predict the impact of an additive (chain capper and inte

214 To build a model that can predict the lambdamax using our approach presented in ou

215 e development of machine-learning methods to predict the likely biological activity of encoded molecu

216 sma albumin, and plasma total CO2 accurately predict the measured pH of blood exiting the dialyser.

217 tablished based on Tempel that enables us to predict the mutations at any specific residue site.

218 Endotyping is without doubt useful to predict the natural course of disease, to determine phar

219 P-associated proteins at 12 weeks' gestation predict the overall risk of developing early preeclampsi

220 t multiomics data can be used to effectively predict the risk of RA and identify cases in early stage

221 Here, we use ray tracing to predict the spatial and temporal dynamics of lighting fo

222 nsity functional theory (DFT) to potentially predict the titanium oxides formed and their stability w

223 weeks of subcutaneous allergen immunotherapy predicted the clinical outcome of this treatment.

224 Our proof of principle model successfully predicted the daily evolution of AD severity scores at a

225 sed human participants to auditory cues that predicted the likely direction of visual moving dots, wh

226 Antibodies to SARS-CoV-2 predicted the odds of developing acute respiratory distr

227 In silico analysis predicted the presence of only two short allergenic pept

228 The RF-CL and CACS-CL models predicted the prevalence of obstructive CAD more accurat

229 anical modeling (HSM), capable of accurately predicting the affinities of PBD-peptide interactions ac

230 mplications for future applications aimed at predicting the clinical course of TS in individuals over

231 nly in radiation therapy require methods for predicting the computed tomography numbers from MRI data

232 ore, our method shows encouraging results in predicting the CT numbers.

233 Understanding these patterns is critical for predicting the effects of future climate and land-use ch

234 of relevance for breeding programs, and for predicting the evolutionary consequences of domesticatio

235 ression was applied to select the model best predicting the global test-retest variability from 3 cat

236 top four important and congruent features in predicting the phenotype identified by these four models

237 still demonstrated relatively high skill in predicting the PM(2.5) levels in well-mixed indoor air.

238 HCC) and is an independent diagnostic marker predicting the poor prognosis of HCC patients.

239 Accurately predicting the protein thermostability changes upon sing

240 The EAST predicts the antibiotic susceptibility of bacteria withi

241 Planck's law predicts the distribution of radiation energy, color and

242 oculomotor signatures of internal attention-predicts the quality of ensuing memory-guided behavior.

243 which hypermutation develops and whether it predicts the response to immunotherapy are poorly unders

244 algae with grazers-we show that this method predicts the results of unobserved experiments with high

245 ing" approach, wherein a multivariable model predicts the risk for an outcome and is applied to disag

246 The theory successfully predicts the scaling law [Formula: see text] for the low

247 oral-reef ecosystems makes it challenging to predict their dynamics and resilience under future distu

248 whether each person's depression and stress predicted their own decisional conflict (actor effects),

249 species' responses to changing temperatures predicted their population trends from a UK-wide dataset

250 allows the detection of prey or predator and predicts their future positions.

251 Our models accurately predict these outcomes and identify particular prior non

252 Current diagnostic testing only partially predicts this clinical heterogeneity.

253 ome-wide analysis of BBxgenotype interaction predicting time to all-cause mortality, adjusted for Met

254 d with sarcomere function and can be used to predict TNNT2 variant pathogenicity.

255 egypti during 1950-2000, while this trend is predicted to accelerate to 3.2-4.4% per decade by 2050.

256 This is predicted to affect wild organisms, particularly because

257 We detect several phenomena predicted to arise from the existence of a PDW, includin

258 For two variants that were predicted to be benign, in vitro modeling demonstrated t

259 The wG-T->G-T* tautomerization is predicted to be endoergic in aqueous solution and the DN

260 durations, realized dispersal distances were predicted to be greatest in the tropics and at high lati

261 mational changes such as protein folding are predicted to be heterogeneous.

262 aning mass, but mass transfer efficiency was predicted to be highest at the mean birthdate.

263 r oligomerisation, which has previously been predicted to be important for Rheb-signalling suppressio

264 lternate lineage identities, computationally predicted to be mediated through a common transitional,

265 osphorus (BP) is a monoelemental 2D material predicted to be piezoelectric because of its highly dire

266 Vif/CBF-beta/PPP2R5 complex in which Vif is predicted to bind the same PPP2R5 surface as physiologic

267 mias identified a recurrent intronic variant predicted to cis-activate the TAL1 oncogene, a finding v

268 ls adapted to live in these environments are predicted to deal more effectively with environmental pe

269 individuals harboring P/LP variants who were predicted to develop disease (G+).

270 large space of sequences and selecting ones predicted to fold.

271 Puzzlingly, this form is predicted to impede electrical conduction to an extent t

272 l of four miRNAs and their target mRNAs were predicted to involve in synthesis of melanin, carotenoid

273 covered known complexes, confirmed complexes predicted to occur in plants, and identified previously

274 AvBD11 is an atypical double-sized defensin, predicted to possess 2 motifs related to beta-defensins

275 A rarer class of S-box riboswitches is predicted to regulate translation initiation.

276 y a small subset of biallelic deletions were predicted to result in coding exon disruption.

277 Nine of the variants are predicted to result in loss-of-function of the protein.

278 Climate change is predicted to result in warmer and drier Neotropical fore

279 C-(2-Pyridyl)nitrile imine 38 is predicted to undergo a new rearrangement to cyanopyridin

280 pogenic climate change, and the situation is predicted to worsen in the future.

281 alues were calculated from the deep learning-predicted tonometer and mire diameters using the Imbert-

282 he metabolism of each isolate and tested for predicted trade-offs between growth rate and efficiency.

283 xtends the helical export gate with its four predicted transmembrane helices wrapped around FliPQR/Sc

284 tilizing a biophysical mathematical model to predict tumor response for two HER2 + breast cancer pati

285 centration of a metastable bioanalyte toward predicting tumor drug sensitivity.

286 is of the epigenome map, and a knockout of a predicted upstream regulator disrupts normal regeneratio

287 e particulate P (PP) load was similar to the predicted value.

288 We hypothesise that LAI variation can be predicted via an optimality-based approach, using net ca

289 Overparametrized deep networks predict well, despite the lack of an explicit complexity

290 ime the vaccine is introduced, enables us to predict whether the strain increases or decreases in pre

291 The complete escape maps predict which mutations are selected during viral growth

292 It is currently not possible to routinely predict which specific stressors lead to declines in dif

293 nal swabs, taken throughout pregnancy, could predict which women go on to deliver preterm.

294 DRP) load from March-July was 29% lower than predicted, while the particulate P (PP) load was similar

295 portantly, it should be noted that a peptide predicted with a higher binding score for a specific HLA

296 ensitivity to an LIP-targeted therapy can be predicted with a molecular imaging tool.

297 Persistence was predicted with a sensitivity of 81.8% and a specificity

298 kably lower rates of stroke and bleedings as predicted with CHA(2)DS(2)-VASc and HASBLED scores.

299 ificant interaction with childhood trauma in predicting worse symptom severity.

300 an elevated quasiparticle density, which we predict would ultimately limit the coherence times of su