ライフサイエンスコーパス: knowledge base

1 asured relative to existing manually curated knowledge bases).

2 sulting in a large-yet still somewhat patchy-knowledge base.

3 formation from public data sources to form a knowledge base.

4 vaScript for fast programmatic access to its knowledge base.

5 y be compensated for by older adults' richer knowledge base.

6 ating neurological associations increase our knowledge base.

7 redesigned Biochemical, Genetic and Genomic knowledge base.

8 disease, significant gaps still exist in our knowledge base.

9 for a better curated variant interpretation knowledge base.

10 f different NGS methodologies to add to this knowledge base.

11 5 using the Ingenuity Pathway Analysis (IPA) Knowledge Base.

12 le causal network derived from the Ingenuity Knowledge Base.

13 s within a common platform and from a common knowledge base.

14 ownloadable tab-delimited file and as an OWL knowledge base.

15 s from 87 public datasets from the METASPACE knowledge base.

16 tomic data sets using a publically available knowledge base.

17 rich structural, biophysical and biochemical knowledge base.

18 cale and accurate D-M phenotype relationship knowledge base.

19 a, which is a comprehensive Internet medical knowledge base.

20 veral resources including a semantic-derived knowledge-base.

21 rated data against the database's cumulative knowledge-base.

22 rm future, using currently available genomic knowledge bases.

23 iscover new drug-gene relationships for both knowledge bases.

24 encing genes in probe sets and using curated knowledge bases.

25 nderstandable disease phenotype relationship knowledge bases.

26 integrated with other software platforms and knowledge bases.

27 s of scientific communication have different knowledge bases.

28 The prediction algorithm is knowledge-based.

29 ments extracted from protein structures i.e. knowledge-based.

30 database was used to augment the version 3.0 Knowledge Base, 245 (76.8%) isolates were correctly iden

31 etabolism are computational species-specific knowledge bases able to compute systemic metabolic prope

32 tools within the constraints of the current knowledge base, addressing separately (1) hospitalized i

33 involving all-atom description, analogous to knowledge-based analysis (with different input), is used

34 e interaction is consistent with that of the knowledge-based analysis despite expected quantitative d

35 diverse systems biology studies and support knowledge-based analysis of diverse experimental data.

36 icutes, and bioinformatics combined with the knowledge-based analysis of the structure-function relat

37 an help participants to deepen their factual knowledge base and arrive at a more complete understandi

38 nding continued improvements to the reaction knowledge base and further code optimization.

39 Using the accelerating knowledge base and improved understanding of the interpl

40 ODAE is also a robust knowledge base and platform for semantic and logic repre

41 line workflow which leverages the lipidomics knowledge base and resources of the LIPID MAPS website,

42 erable research efforts, several gaps in the knowledge base and several questions over the quality of

43 mation about genes, aggregated from numerous knowledge bases and encoded in a massive "Knowledge Netw

44 y-ome for systematic improvement of E. coli knowledge bases and its extension to other organisms.

45 luding water) for future human habitation, a knowledge-based and effective policy for planetary prote

46 was improved by 10(3) fold over random using knowledge-based and energy-based filters.

47 We aimed to assess a knowledge-based and skills-based programme for physician

48 clinical data, curation of a gene-phenotype knowledge base, and development of clinical decision sup

49 ne interactions from biological pathways and knowledge bases, and analysis of the covariance of ovary

50 We focus on new methods for physics-based, knowledge-based, and experimental data-directed modeling

51 es to text mining: rule-based, also known as knowledge-based; and machine-learning-based, also known

52 approaches, highlighting the strength of our knowledge-based approach for identifying stabilising mut

53 from available epitope resources and apply a knowledge-based approach in combination with immunoinfor

54 IOM is a holistic, ecosystem-based and knowledge-based approach that aims to ensure the sustain

55 Here we present a novel knowledge-based approach that uses state-of-the-art conv

56 We have developed a computational, knowledge-based approach to automatically infer gene fun

57 s well as rare diseases, we have developed a knowledge-based approach to predict gene-disease associa

58 lue of diversity screening to complement the knowledge-based approach used in our previous ATAD2 work

59 OVA combines a knowledge-based approach with a variant-filtering framew

60 As a pioneering knowledge-based approach, SDM has been highlighted as th

61 As knowledge-based approaches could yield unsatisfactory ou

62 nderstandable disease-phenotype relationship knowledge bases are often unavailable.

63 Here, we summarize the current knowledge base as it pertains to genome organization in

64 predict signaling pathway activity based on knowledge-based Bayesian computational models, which int

65 a clear need to continue the development of knowledge bases, best practices, tools, and validation e

66 thods have been developed that formulate the knowledge-based biomarker discovery as a feature selecti

67 ch modeling should proceed by using our full knowledge base, both from experiment and theory.

68 ta are available in a semantic language from knowledge bases, but these are often not interoperable.

69 mented the electrophysiological data of this knowledge base by collecting, quantifying, and analyzing

70 ntribute to a fundamental alpha/beta-peptide knowledge-base by confirming that beta(3)-amino acid res

71 We highlight ways that this emerging knowledge base can inform public health strategy: First,

72 provide an important opportunity to address knowledge-based challenges associated with drug developm

73 We developed and validated a knowledge-based classifier allowing for automatically id

74 We developed a knowledge-based classifier of health conditions studied

75 Here we present a knowledge-based CLUster Evaluation (CLUE) approach for i

76 We hereby devise a new knowledge-based, coarse-grained contact potential, so-ca

77 an entirely different approach and evaluate knowledge-based conformational entropies of proteins bas

78 ell understood, hindering the development of knowledge-based control measures.

79 present a new algorithm called PhenoCurve, a knowledge-based curve fitting algorithm, aiming to ident

80 AP is capable of integrating with biological knowledge-based databases (Uniprot, GO) and high-through

81 Knowledge-based databases holding molecular replacements

82 We describe existing knowledge bases, databases, algorithms, and tools for id

83 n are generally performed by experience- and knowledge-based decision-making of the observer.

84 wo evidences give the reasoning for adopting knowledge-based deep learning methods in lincRNA detecti

85 s and is therefore of major relevance to the knowledge-based design of highly selective hydrogenation

86 zational principle that can be exploited for knowledge-based design of long-range nucleoprotein compl

87 For the knowledged-based development of electrochemical processe

88 Here, we have used a knowledge-based docking protocol that considers experime

89 isease-disease risk relationship (D1 --> D2) knowledge base (dRiskKB) from a vast corpus of free-text

90 The knowledge base-driven pathway analysis is becoming the f

91 and an electron donor has been exploited in knowledge-based drug design.

92 3 in particular might be a novel, appealing, knowledge-based drug target for treatment of schizophren

93 matically by assembling annotations from the knowledge bases EcoCyc, EcoGene, UniProt and RegulonDB.

94 taught us much about the disease but with no knowledge-based effective treatment in sight.

95 ics-based" energy for the folded state and a knowledge-based energy for the unfolded state.

96 ly to redesign several proteins, employing a knowledge-based energy function for both the folded and

97 units that minimizes a composite physics and knowledge-based energy function for de novo protein stru

98 t (I-TASSER) simulations, where physics- and knowledge-based energy functions are derived on the I-TA

99 Including these new knowledge-based entropies almost doubles the performance

100 Knowledge-based entropies are derived by using the inver

101 epistasis analysis driven by statistical and knowledge-based evidence represents a promising approach

102 ata sets are available, and for which a good knowledge base exists (cropland harvest and irrigation);

103 ty term with FFT formulation, a set of novel knowledge-based filters and finally a solvation energy (

104 a unique interactome for SMN that provides a knowledge base for a better understanding of SMA.

105 We developed a semantic knowledge base for aging by integrating data about C. el

106 gether this information provides a pragmatic knowledge base for carrying out biologically informative

107 ality studies about the condition limits the knowledge base for clinical decision making, but a few p

108 Social Molecular Networking, an open-access knowledge base for community-wide organization and shari

109 We expanded the knowledge base for Drosophila cell line transcriptomes b

110 MetaCyc is also used as a knowledge base for generating thousands of organism-spec

111 This study provides an important knowledge base for HPV11 for future studies in HPV epide

112 matured over the last decade, generating the knowledge base for increasingly informative individual-l

113 V genomic sequences reported here expand our knowledge base for large-scale RSV epidemiological and t

114 In contrast to the strong knowledge base for nematode neurobiology, resource and t

115 DHBQ by hydrogen peroxide to provide a solid knowledge base for optimization of bleaching sequences a

116 The AML Proteome Atlas provides a knowledge base for proteomic patterns in AML, a guide to

117 ensive manual curation represent the current knowledge base for signaling pathways.

118 ly recognized and provide a greatly expanded knowledge base for studies to understand the architectur

119 NA backbone flexibility, but also provides a knowledge base for studying the biochemical and prebioti

120 on of RNA viruses in mites, but also a solid knowledge base for studying their roles in human disease

121 origin of sardine-anchovy fluctuations and a knowledge base for sustainable fisheries management in t

122 design-build-test-learn cycle can serve as a knowledge base for the development of a single retrosynt

123 cture of multiple HA subtypes, expanding our knowledge base for this important phenotype.

124 ptimized model using a composite physics and knowledge-based force fields for efficient protein struc

125 By an accelerated knowledge-based fragment growing approach, essential pha

126 Gene ontology (GO) is an eminent knowledge base frequently used for providing biological

127 A prior knowledge-based fuzzy logic model comprising signal tran

128 didate genes by incorporating information on knowledge-based gene sets, effects of variants, genome-w

129 tic end-product, has become a cornerstone of knowledge-based genome mining.

130 Soybean Knowledge Base has a new suite of tools such as In Silic

131 in 1916, a written assessment of candidates' knowledge base has been an integral part of the certific

132 Although this expansion of the basic knowledge base has increased the number of mechanistical

133 Finally, the models in the knowledge base have been benchmarked using Memote, a new

134 Here, we performed omics-driven knowledge-based identification of chokepoint enzymes as

135 d on serologic subtype adds to the expanding knowledge base in defining subgroups of RA.

136 onstrate the potential of this newly created knowledge base in disease gene discovery and drug repurp

137 We contrast the large knowledge base in rodent beta-cells with the more limite

138 We place the present knowledge base in the context of other advances in trans

139 the increasing amount of Semantic Web based knowledge bases in biology to use in machine learning an

140 by implicitly leveraging a large biological knowledge-base in creating predictions by homology-based

141 Biological data and knowledge bases increasingly rely on Semantic Web techno

142 h in intercellular communication by enabling knowledge-based inference on physiologically-related bio

143 GeneTIER replaces knowledge-based inference traditionally used in candidat

144 as nomination of mutation candidates through knowledge-based integration of sample and variant data.

145 rs prepared to expand our scope of practice, knowledge base, integration into primary health care (me

146 of the physical energy function with the new knowledge-based interface profile.

147 and electrostatics affinity functions, a new knowledge-based interface propensity term with FFT formu

148 elatively little translation of this growing knowledge base into cardiology practice.

149 Soybean Knowledge Base is a comprehensive web resource developed

150 tandable drug-disease treatment relationship knowledge base is important for computational approaches

151 However, the current knowledge base is insufficient to fully understand how w

152 Currently, the knowledge base is populated with rules to analyze microa

153 C association is part of the disease mapping knowledge bases, it should yield improved space-time inc

154 To test the predictive utility of knowledge-base-leveraging approaches, site-specific pred

155 d an automated process to learn high quality knowledge bases linking diseases and symptoms directly f

156 mploying physically motivated potentials and knowledge-based local structure biasing terms, the addit

157 The FDA's Liver Toxicity Knowledge Base (LTKB) evaluated >1000 drugs for their li

158 ied DILI-associated drugs from the Liver Tox Knowledge Base (LTKB) have been used to derive the predi

159 Since the last release, the Lynx knowledge base (LynxKB) has been periodically updated wi

160 Its underlying knowledge base (LynxKB) integrates various classes of in

161 Existing platforms rely on knowledge bases manually compiled through a labor-intens

162 Establishing this multidisciplinary knowledge base may help pave the way for developing nove

163 We have developed a knowledge-based membrane potential, calculated by the st

164 his review we discuss recent developments in knowledge-based metabolic engineering strategies, that i

165 We describe Matsy, a knowledge-based method that uses matched series to predi

166 miRmut2GO implements a knowledge-based method to assess the functional effects

167 However, the predominant scenarios of knowledge-based methods are that (1) knowledge databases

168 Existing knowledge-based methods only use fragments that are the

169 By contrast, models obtained by knowledge-based methods, in which each domain is modeled

170 de predictions for every target, unlike some knowledge-based methods.

171 association tests in a systematic biological Knowledge-based mining system for Genome-wide Genetic st

172 Non-canonical pairs can be predicted using a knowledge-based model of structure that scores nucleotid

173 integrative energy function that combines a knowledge-based multibody potential and two atomic energ

174 mprovement is mostly due to the inclusion of knowledge-based mutual information.

175 zer mismanagement plus the implementation of knowledge-based N management practices.

176 As a result of their knowledge-based nature, the next-generation nonbonded po

177 er for Toxicological Research Liver Toxicity Knowledge Base (NCTR-LTKB), the inhibitory properties of

178 vel therapeutic approaches, we constructed a knowledge-based network describing the development of co

179 cs (SequencEnG) to provide a tree-structured knowledge base of 66 different sequencing techniques and

180 her, these findings expanded the mechanistic knowledge base of apremilast and provided translational

181 KaBOB is an integrated knowledge base of biomedical data representationally bas

182 esses and solutions by presenting KaBOB (the Knowledge Base Of Biomedicine), a knowledge base of sema

183 source, open-data, curated and peer-reviewed knowledge base of biomolecular pathways.

184 Development of a comprehensive knowledge base of candidate genes related to development

185 tools now rests on rapidly assimilating our knowledge base of coral bleaching into more integrated f

186 shed in the Journal in 2012 that enhance our knowledge base of environmental and occupational disorde

187 A growing knowledge base of genetic and environmental information

188 Here, we describe GWASkb, a machine-compiled knowledge base of genetic associations collected from th

189 In previous work, the comprehensive knowledge base of hippocampal neuron types Hippocampome.

190 on of gene expression is commonplace and our knowledge base of interactome data is rapidly expanding,

191 small directed networks are generated from a knowledge base of literature-curated qualitative biologi

192 Hippocampome.org is a comprehensive knowledge base of neuron types in the rodent hippocampal

193 uld, in a short time, become a comprehensive knowledge base of nodulation-related pathways.

194 ProbOnto, is an ontology-based knowledge base of probability distributions, featuring m

195 We first create a knowledge base of protein structural environments annota

196 KaBOB (the Knowledge Base Of Biomedicine), a knowledge base of semantically integrated data from 18 p

197 verages public RNA-seq big data to provide a knowledge base of splicing regulation via deep learning,

198 and parasite persistence and evolution, the knowledge base of the factors contributing to transmissi

199 h are essential to advancing our mechanistic knowledge base of the host-pathogen interactions that in

200 ole in assembling each individual's semantic knowledge base of the olfactory world.

201 models (GEMs) are mathematically structured knowledge bases of metabolism that provide phenotypic pr

202 The knowledge-base of bottled water leachate is highly contr

203 ies in human subjects have generated a large knowledge base on the complexity of the interrelationshi

204 Although the knowledge base on the impacts of interventions is limite

205 t Norovirus genogroups and expands a growing knowledge base on the interaction between positive-stran

206 are important since they expand our limited knowledge base on virulence factors unique to hvKP, whic

207 , including the researchers who generate the knowledge base on what services, supports, and policies

208 ome remains poorly defined, with our current knowledge based on a few cohort studies whose findings a

209 These specimens have improved our knowledge based on compression fossils in Cretaceous sed

210 tion on the Earth these tools would organize knowledge based on location within the tissues or embryo

211 This review describes the current state of knowledge based on repertoire sequencing studies conduct

212 We provide the first evidence, to our knowledge, based on in depth monitoring of a social netw

213 xperimental site (Spe); (b) using a generic, knowledge-based, parameterization applicable in the Cent

214 litating a synthesis of perception-based and knowledge-based perspectives on realistic observational

215 An up-to-date GEM-PRO thus serves as a knowledge-based platform to elucidate S. aureus' metabol

216 As a result, the knowledge base, political will, and momentum are increas

217 asks like genome annotation, image analysis, knowledge-base population and protein structure determin

218 ew energy function combines a multibody (MB) knowledge-based potential and two atomic energy terms (h

219 e are many demonstrated successes from using knowledge-based potential energies, computing entropies

220 ctions, including sequence-based algorithms, knowledge-based potential functions, and all-atom molecu

221 that might not be accurately captured by the knowledge-based potential owing to the mean force nature

222 inity for all possible DNA sequences using a knowledge-based potential, after optimization in a molec

223 full atomic models are scored using RAGTOP's knowledge-based potential, and geometries of top scoring

224 dancy-weighting, may improve the accuracy of knowledge-based potentials and increase the power of pro

225 ce a new web application, WebRASP, that uses knowledge-based potentials for scoring RNA structures ba

226 nship, in a manner analogous to the way that knowledge-based potentials have been extracted.

227 entropies almost doubles the performance of knowledge-based potentials in selecting the native prote

228 g and torsion angles, and determine distinct knowledge-based potentials with and without k-turn motif

229 tigation of the workflows generated from the knowledge base produced a quantitative measure of the te

230 eports from humans performing perceptual and knowledge-based psychometric decision tasks.

231 ed through a voluntary anonymous survey with knowledge-based questions.

232 ences, environmental medicine, and molecular knowledge-based redox medicine.

233 The work here can help build the knowledge base regarding shape control of nanomaterials

234 mbine probabilistic mechanisms with symbolic knowledge-based representations (e.g., heuristics) to ad

235 manipulation and creation of ontologies and knowledge bases represented with the Web Ontology Langua

236 we developed a novel orientation-dependent, knowledge-based, residue-level potential for improving t

237 rkers that would contribute substantially to knowledge-based resistance breeding.

238 oundation for improved bioinformatics tools, knowledge-based resources and scientific communication.

239 es suggest that an increased use of top-down knowledge-based resources would compensate for degraded

240 mbining Kendrick mass defect information and knowledge-based rules.

241 mplex structures, in this work, we develop a knowledge-based scoring function of nucleic acid-ligand

242 Here, we have developed a knowledge-based scoring function, referred to as ITScore

243 Here, we combine geometrical considerations, knowledge-based scoring, and atomistic modeling to facil

244 high expression similarities and high prior-knowledge based similarities in all datasets, comparing

245 rporating expression similarities with prior-knowledge based similarities in an assessment criterion.

246 nwhile, other types of features, e.g., prior-knowledge based similarities, is only viable for measuri

247 oneywise but will have an impact in a modern knowledge-based society.

248 e permitted the development of comprehensive knowledge-based software to predict the metabolic fate o

249 PGen workflow integrated within the Soybean Knowledge Base (SoyKB),.

250 ion statistical potential (DISPOT), a simple knowledge-based statistical potential that estimates the

251 We sample these graphs in 3D space guided by knowledge-based statistical potentials derived from bend

252 on improves the prediction accuracy over the knowledge-based, statistical potentials, especially for

253 Structure-based and knowledge-based strategies were utilized to design this

254 ected epitope rearrangements combined with a knowledge-based structural modification resulted in a pr

255 This growing knowledge base suggests 4 shifts in thinking about polic

256 ine genetic testing, this rapidly increasing knowledge base suggests that testing may now or soon hav

257 n experience-based system of inference and a knowledge-based system of inference.

258 Meantime, knowledge-based technologies are experiencing a potentia

259 We established SynGO, an interactive knowledge base that accumulates available research about

260 in preclinical research will help to build a knowledge base that better informs the design of clinica

261 y will contribute to building the scientific knowledge base that enables development of design rules

262 Wikidata is a community-maintained knowledge base that has been assembled from repositories

263 Challenges include the ever-changing knowledge base that informs our understanding of sepsis,

264 With an increasing knowledge base that is coupled with user-friendly and in

265 ailability and metabolism and to advance the knowledge base that is required to move toward the devel

266 We also highlight gaps in the knowledge base that need to be addressed to advance the

267 , over time, expand our currently incomplete knowledge base that plays a critical role in informing t

268 PGxLOD (PGx Linked Open Data) the resulting knowledge base that represents and reconciles knowledge

269 odels as a means to highlight the gap in our knowledge base that requires further examination.

270 FlyBase (flybase.org) is a knowledge base that supports the community of researcher

271 tabolic models are mathematically-structured knowledge bases that can be used to predict metabolic pa

272 cted networks are organized and systematized knowledge bases that have multiple uses, including conve

273 truction of automatically annotated chemical knowledge bases that integrate chemical information and

274 Armed with this growing knowledge base, the sleep, respiratory, and cardiovascul

275 anisms of tumorigenesis have translated into knowledge-based therapies directed against specific onco

276 since we lack the luxury of waiting for the knowledge base to be acquired before the window of oppor

277 formation should provide clinicians with the knowledge base to counsel patients about the risks and b

278 This allows the surgeon the knowledge base to deliver the required relative customiz

279 ry circuits and their interplay provides the knowledge base to deploy ESCs and induced pluripotent st

280 nt the burden of disease and to generate the knowledge base to develop and deploy a vaccine.

281 with sediment fingerprinting to generate the knowledge base to improve land management and to reduce

282 and an inference engine that reasons on the knowledge base to produce workflows.

283 ents within a target protein to those in the knowledge base to retrieve statistically preferred fragm

284 We use biomedical knowledge bases to create a knowledge graph of entities

285 on of metabolomics studies heavily relies on knowledge-based tools that contain information about met

286 computational tools through expansion of the knowledge base underpinning them.

287 lassification in Enzymes (MACiE) and UniProt Knowledge Base (UniProtKB) resources.

288 model, MTBPROM2.0, represents a substantial knowledge base update and extension of simulation capabi

289 eutics can only proceed from a foundation of knowledge based upon in vitro findings that recapitulate

290 eux Vitek MS with both the SARAMIS v4.09 and Knowledge Base v2.0 databases for the identification of

291 es offers a foundation for developing future knowledge-based vaccines that elicit strong and long-las

292 tion of these reports with anxiety, risk and knowledge-based variables.

293 were correctly identified using the Vitek MS Knowledge Base, version 3.0 database.

294 tration of usage, a SPARQL query of the ODAE knowledge base was developed to identify all the drugs h

295 querying and evaluation) to interrogate this knowledge base, we examined 48,231 C. elegans genes for

296 This unique knowledge base, when combined with existing phenotypic,

297 matics ExperT SYstem (BETSY) that includes a knowledge base where the capabilities of bioinformatics

298 s can mostly be divided into two categories: knowledge-based, where databases of fragments are search

299 Building from a tremendous knowledge base with > 1,000 scientific papers published

300 resents an up-to-date and interactive online knowledge base with specific focus on 3D structural cont