ライフサイエンスコーパス: knowledge base

1 for a better curated variant interpretation knowledge base.

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

3 5 using the Ingenuity Pathway Analysis (IPA) Knowledge Base.

4 le causal network derived from the Ingenuity Knowledge Base.

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

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

7 tomic data sets using a publically available knowledge base.

8 rich structural, biophysical and biochemical knowledge base.

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

10 teraction with the integrated repository and knowledge base.

11 milated into a schema and thereby expand the knowledge base.

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

13 vaScript for fast programmatic access to its knowledge base.

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

15 redesigned Biochemical, Genetic and Genomic knowledge base.

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

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

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

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

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

21 nderstandable disease phenotype relationship knowledge bases.

22 rm future, using currently available genomic knowledge bases.

23 ws that encapsulate information from protein knowledge bases.

24 nimize their predictive potential and use as knowledge bases.

25 The prediction algorithm is knowledge-based.

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

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

28 Thus, GOAP is a promising advance in knowledge-based, all-atom statistical potentials.

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

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

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

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

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

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

35 We evaluated knowledge based and corpus IC based semantic similarity

36 iomedical domain can be roughly divided into knowledge based and distributional based methods.

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

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

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

40 lity to broaden their traditional ecological knowledge base, and a case of being too specialized, too

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

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

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

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

45 Knowledge-based approach deals with this complexity by c

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

47 Our knowledge-based approach is generally applicable to phen

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

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

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

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

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

53 onal responses were analyzed using a network knowledge-based approach.

54 Knowledge based approaches utilize knowledge sources suc

55 As knowledge-based approaches could yield unsatisfactory ou

56 It is well established that conventional knowledge-based approaches do not correctly treat many-b

57 Knowledge-based approaches frequently employ empirical r

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

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

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

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

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

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

64 re human PTP family and present a systematic knowledge-based characterization of global and local sim

65 g system, GPCR ontology offers potential for knowledge-based classification of individuals (such as s

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

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

68 ocols could be facilitated by integration of knowledge-based, closed-loop controlled protocols into r

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

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

71 A critical gap in the knowledge base concerns the understanding of network pro

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

73 ) with three interaction sets shows that the knowledge-based contact potential is viable tool to inve

74 rained Monte Carlo simulation based on three knowledge-based contact potentials (MJ, BT, BFKV).

75 Currently, its knowledge base contains 250 biotransformation rules and

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

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

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

79 Knowledge-based databases holding molecular replacements

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

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

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

83 The fully populated knowledge base described in this document is available f

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

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

86 he molecular level, thus will facilitate the knowledge-based discovery of novel compounds with desire

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

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

89 We discuss the evolution of knowledge base-driven pathway analysis over its first de

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

91 3 in particular might be a novel, appealing, knowledge-based drug target for treatment of schizophren

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

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

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

95 Knowledge-based entropies are derived by using the inver

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

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

98 intern curriculum (boot camp) incorporating knowledge-based, experiential, and practical components.

99 distinct high-resolution GPCRs and proposes knowledge-based filtering methods for improvement of sam

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

101 We have developed a unique knowledge base (FlyExpress) to facilitate visual mining

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

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

104 o report outcomes in children to improve the knowledge base for care, especially as new drugs become

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

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

107 To expand the knowledge base for clostridial species relevant to curre

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

109 uencing of the human genome introduced a new knowledge base for decoding information structured in DN

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

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

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

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

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

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

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

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

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

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

120 Our study affords a strong knowledge base for understanding BAHD members' evolution

121 oms with the use of a composite physics- and knowledge-based force field.

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

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

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

125 ogies, we developed the GPCR-Oligomerization Knowledge Base (GPCR-OKB).

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

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

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

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

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

131 a large eye and an existing and substantial knowledge base in retinal circuitry, anatomy, and ophtha

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

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

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

135 onstruct drug-target networks from different knowledge bases including DrugBank, PharmGKB, and the PI

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

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

138 GeneTIER replaces knowledge-based inference traditionally used in candidat

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

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

141 tor-DNA interactions, such as development of knowledge-based interaction potential, transcription fac

142 We have recently developed a new class of knowledge-based interaction potentials called Decoys as

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

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

145 Soybean Knowledge Base is a comprehensive web resource developed

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

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

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

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

150 tion is a complex process with an incomplete knowledge base; its uniprofessional focus is particularl

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

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

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

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

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

156 Furthermore, knowledge based measures significantly and meaningfully

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

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

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

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

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

162 tically outperforms existing Monte Carlo and knowledge-based methods for 3D structure prediction.

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

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

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

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

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

168 ng 10 cases that are not solvable by current knowledge-based modeling approaches.

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

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

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

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

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

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

175 ogy (DO) database represents a comprehensive knowledge base of 8043 inherited, developmental and acqu

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

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

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

179 Given the current knowledge base of breast cancer mechanobiology, these fi

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

181 portant role in achieving this comprehensive knowledge base of cell function.

182 We have developed a knowledge base of criteria, which replicate expert asses

183 are consistent with and extend the existing knowledge base of differentiated cell populations in yea

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

185 A growing knowledge base of genetic and environmental information

186 ing; investment in development of a rigorous knowledge base of health-systems research; development o

187 We have built a knowledge base of human pseudogenes, extending the exist

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

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

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

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

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

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

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

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

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

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

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

199 ults significantly extend the limited public knowledge-base of crystallographic small molecule/bromod

200 and high curation standards, the PlateletWeb knowledge base offers the systems biologic background fo

201 nd a transparent, distributed, authoritative knowledge base on genetic variation and human health.

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

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

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

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

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

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

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

209 icle was to perform a summary of the current knowledge-base on outcome and its determinants in adequa

210 ent that employs a computationally tractable knowledge base or repository in order to reason upon dat

211 ctions based either on statistical analysis (knowledge based) or experimental data.

212 owed that distributional measures outperform knowledge based path finding methods; but more recent st

213 molecular analysis as well as transcriptomic knowledge-based pathway profiling of emerging tumours id

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

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

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

217 arly fast and accurate due to the underlying knowledge-based potential derived from structures deposi

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

219 We have designed a comprehensive knowledge-based potential function based on a C alpha re

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

221 finement protocol based on minimization of a knowledge-based potential of mean force.

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

223 eveloped iterative method for extracting the knowledge-based potential parameters from the known stru

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

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

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

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

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

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

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

231 the assumptions and physical significance of knowledge-based potentials, allow for their systematic i

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

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

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

235 We discuss possibilities for knowledge-based rational design based on the photochemis

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

237 d on the information presented to expand the knowledge base regarding ERs in children with CP.

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

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

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

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

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

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

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

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

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

247 tion threshold levels for lumen, plaque, and knowledge-based segmentation of coronary arteries for qu

248 Knowledge based semantic similarity measures are more pr

249 and query ontology-based annotations; (ii) a knowledge base server with an inference engine to suppor

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

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

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

253 esis methodology that relies on a four-body, knowledge-based, statistical contact potential.

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

255 -capturing steps, demonstrating the merit of knowledge-based strategies in heterogeneous catalysis.

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

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

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

259 A knowledge-based system can be defined as an intelligent

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

261 Examples of the application of knowledge-based systems in biomedicine span a broad spec

262 distinct benefits associated with the use of knowledge-based systems in such contexts.

263 t can be addressed via the design and use of knowledge-based systems.

264 rovement of a control group who trained on a knowledge-based task that did not engage working memory;

265 only white noise, to force a pure top-down, knowledge-based task.

266 Meantime, knowledge-based technologies are experiencing a potentia

267 pically include both molecular-mechanics and knowledge-based terms.

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

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

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

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

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

273 achine-understandable drug-disease treatment knowledge base that is resultant of our study, in combin

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

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

276 These reconstructions represent structured knowledge bases that abstract pertinent information on t

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

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

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

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

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

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

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

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

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

286 s of other biomedical ontologies and protein knowledge bases to provide the ability to formally organ

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

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

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

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

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

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

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

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

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 Finally, we were left with a knowledge base which could be queried to discover inform

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