ライフサイエンスコーパス: 3D structure

1 hods for recovering the underlying chromatin 3D structure.

2 y entrapped on the matrix surface and in the 3D structure.

3 CFTR expression, but has minor effect on its 3D structure.

4 residue highlighting in protein sequence and 3D structure.

5 channels, sharing a highly conserved modular 3D structure.

6 PIs correlate with the already published HEV 3D structure.

7 nding RNA function is to uncover its complex 3D structure.

8 eful tool for the accurate prediction of RNA 3D structure.

9 ling and provided valuable information about 3D structure.

10 ide interactions that constitute the desired 3D structure.

11 as a graph, and can be viewed on the antigen 3D structure.

12 ches which cannot adequately replicate their 3D structure.

13 Z), by employing the geometric property of a 3D structure.

14 objects that either obey or violate possible 3D structure.

15 ements of RNA and how they contribute to RNA 3D structure.

16 s a viable electronic switch within a unique 3D structure.

17 ay and allow interactive manipulation of the 3D structure.

18 ticular target requires the knowledge of its 3D-structure.

19 led graphene by engineering 2D graphene into 3D structures.

20 nome folds into a characteristic ensemble of 3D structures.

21 dentified and may function by forming 2D and 3D structures.

22 ough the layers and (iii) bridging of 2D and 3D structures.

23 ly online interface for the alignment of RNA 3D structures.

24 anded DNAs (ssDNAs) to assemble into desired 3D structures.

25 can be used to facilitate the design of SMP 3D structures.

26 ty distributions results in almost identical 3D structures.

27 e necessary for assembling certain intricate 3D structures.

28 umbers from representative atomic-resolution 3D structures.

29 interaction relationships considered for RNA 3D structures.

30 are constructed using atomic-resolution RNA 3D structures.

31 ods to assemble them into macroscopic 2D and 3D structures.

32 erful tools have been developed to align RNA 3D structures.

33 ss that led to the self-assembly of discrete 3D structures.

34 de an accounting of such interactions in RNA 3D structures.

35 o discuss the mapping between Pfam and known 3D structures.

36 tein families are generally close in protein 3D structures.

37 design rules for the fabrication of complex 3D structures.

38 imilar atomic fragments in a data set of RNA 3D structures.

39 structures, and refining the resulting ssDNA 3D structures.

40 olithography demonstrates the scalability of 3D structures.

41 anding of the chromosomal three-dimensional (3D) structure.

42 ovide a single and unique three-dimensional (3D) structure.

43 sequence can be close in the 3-dimensional (3D) structure, 3D contact approaches can complement sequ

44 When the cation of en becomes part of the 3D structure, a high density of SnI2 vacancies is create

45 ave accurate computational prediction of RNA 3D structure, a task which remains challenging.

46 the transmembrane barrel region, the average 3D structure accuracy [template-modeling (TM) score] of

47 with optical microscopy to characterise the 3D structure and composition of archival paraffin embedd

48 isordered proteins (IDPs) that lack a unique 3D structure and comprise a large fraction of the human

49 "3D pop-up"-that is, large-scale changes in 3D structure and fluidic paths-by folding/unfolding add

50 h significant support from a high-resolution 3D structure and from molecular dynamics calculations, s

51 successfully printed, where the customizable 3D structure and inner pore architecture can potentially

52 Reconstructing a scene's 3D structure and reflectivity accurately with an active

53 Our technique recovers 3D structure and reflectivity from the first detected ph

54 sing various features, based on both protein 3D structure and sequence.

55 t to understand the relationship between the 3D structure and the function of nanoscale objects.

56 s simultaneous consideration of thousands of 3D structures and biomolecular interactions to predict r

57 /mass spectrometry (MS) for deriving protein 3D structures and for probing protein/protein interactio

58 e nanocrystal (CNC) aerogels with controlled 3D structures and inner pore architecture are printed us

59 We show that despite having nearly identical 3D structures and sequences, each KIM-PTP family member

60 However, the 3D structures and their morphologies of such composite a

61 ow they fold into complex three-dimensional (3D) structures and how these structures remain stable wh

62 we present RAG-3D-a dataset of RNA tertiary (3D) structures and substructures plus a web-based search

63 ith domain boundaries as observed in protein 3D structure, and which model the structurally conserved

64 ion both on epitope data derived from solved 3D structures, and on a large collection of linear epito

65 transforming the 3D ssRNA models into ssDNA 3D structures, and refining the resulting ssDNA 3D struc

66 a sequencing-based route to uncovering ncRNA 3D structure, applicable to functionally important but p

67 dentifying protein modifications observed in 3D structures archived in the Protein Data Bank (PDB).

68 Using these inks, 2D and 3D structures are printed on various flexible substrates

69 Various 3D structures are successfully printed without support m

70 xperimental methods used for determining RNA 3D structures are technologically challenging and labori

71 ha-ImI moiety in the dendrimers had the same 3D structure as native alpha-ImI.

72 network, PCN) based on the formalization of 3D structures as contact networks among amino-acid resid

73 ely neutral human variants mapped to protein 3D structures as part of a systematic study of the loss

74 er but are located near the periphery of the 3D structure, as are regions enriched in CTCF or RNA pol

75 al molecular chaperone that adopts different 3D structures associated with distinct nucleotide states

76 pe that allows imaging of three-dimensional (3D) structures at 10- to 20-nm resolution throughout ent

77 Mutational analysis and inspection of the 3D structures available allowed us to identify a network

78 the design of hybrid and hierarchical 2D and 3D structures based on 2D nanomaterials is presented.

79 When comparing RNA 3D structures, both types of information need to be take

80 e quantify the construction dynamics and the 3D structures built by ants.

81 shear modulus (G') to build self-supporting 3D structures by direct write assembly.

82 ic 3D printing method able to produce stable 3D structures by utilising the liquid to solid phase cha

83 ts indicate that systematic consideration of 3D structure can assist in the identification of cancer

84 Protein 3D structure can be a powerful predictor of function, bu

85 Alternatively, a 3D structure can be defined by incorporating a multivale

86 Instead, 3D structures can be modeled as protein structure networ

87 Although originally discovered in 3D structures, circular dichroism can also emerge in a t

88 topic proteins with known three-dimensional (3D) structures classified into 129 families; (iii) compu

89 sults in the formation of three-dimensional (3D) structures, closely resembling in vivo tissues (fat

90 linked through shared O/F vertices to form a 3D structure configurationally isotypic to zeta-Nb2O5.

91 rescence microscopies, are unable to resolve 3D structures deep inside (>50 mum) tumor spheroids.

92 monstrate laser-based fabrication of complex 3D structures deep inside silicon using 1 microm-sized d

93 sed to triage the most promising ligands for 3D structure determination by X-ray crystallography.

94 he experimental demonstration of single-shot 3D structure determination of an object; in this case, i

95 tion of these functionally essential states, 3D structure determination of excited states (ESs) of RN

96 ng regime, paving the way to nanometer-scale 3D structure determination with electrons.

97 Traditional 3D contact approaches study 3D structures directly and are alignment-based.

98 RNA can form very complicated and conserved 3D structures displaying a large variety of functions, s

99 are equal in molecular weight but differ in 3D structure due to their different linkage types can be

100 oded topological constraints in defining RNA 3D structure, dynamics and folding.

101 nd it is also used in physical chemistry for 3D structure elucidation with computational chemistry su

102 w-dimensional nanomaterials in a tube-shaped 3D structure, enabling the fabrication of multifunctiona

103 l signals have very small amplitudes and the 3D structure enhances the level of background noise.

104 ion using multiple experimentally determined 3D structures (Escherichia coli RNAP, the Thermus aquati

105 on is based on observations made in terms of 3D structure estimation accuracy and preservation of top

106 etween amino acid residues and the predicted 3D structure for the viral proteins provided further dif

107 ynamics simulations producing an ensemble of 3D structures for all GM12878 autosomes.

108 iggered rolling/unrolling, with a variety of 3D structures forming from biopolymer structures that ha

109 Because our method derives the 3D structure from images of individual nanoparticles rot

110 Predicting RNA 3D structure from sequence is a major challenge in bioph

111 uperior performance of tREX: the constructed 3D structure from tREX is consistent with the FISH measu

112 ne (3D-GNOME), a web service which generates 3D structures from 3C data and provides tools to visuall

113 elationships from text mining, sequences and 3D structures from other databases, and predicted enzyme

114 oting our understanding of their topologies, 3D structures, functions and interactions.

115 ur understanding of their three-dimensional (3D) structure, generation, and dissipation remains fragm

116 able the comprehensive study of inflammatory 3D structures, genetics and flora in IBD.

117 A well-defined 3D structured gold nanoarray was fabricated on a glassy

118 One of the key motivations in producing 3D structures has always been the realization of metamat

119 er-resolution optical microscopy modalities, 3D structured illumination microscopy (3D-SIM) and singl

120 3D structured illumination microscopy (3D-SIM) is the su

121 Using 3D structured illumination microscopy (3D-SIM), we obser

122 Further, clustering analysis and 3D structured illumination microscopy (SIM) show that de

123 Applying 3D structured illumination microscopy to Xenopus laevis

124 The 3D structured illumination microscopy was performed to a

125 s, as detected by biochemical approaches and 3D Structured Illumination Microscopy.

126 Here we use three-dimensional (3D) structured illumination microscopy and dual-channel

127 Linear 2D- or 3D-structured illumination microscopy (SIM or3D-SIM, res

128 link the neighboring layers, creating a near-3D structure in the GH.

129 r efforts are aimed at expanding the role of 3D structure in understanding biology and medicine.

130 e cells and cell assemblies to create 2D and 3D structures in a precise, noninvasive, label-free, and

131 human cells can self-assemble into chimeric 3D structures in combination with embryonic mouse kidney

132 a well-established technique to characterize 3D structures in material sciences and biology; its magn

133 this design enables the formation of 2D and 3D structures in one step and high yield.

134 for query, analysis and visualization of the 3D structures in the PDB archive.

135 By scanning all 3D structures in the PDB using BioJava-ModFinder, we ide

136 Complex three-dimensional (3D) structures in biology (e.g., cytoskeletal webs, neur

137 ection patterns, calculated from their known 3D structures, in single electron cryo-micrographs.

138 t in characterizing their three-dimensional (3D) structure, in designing pharmacological agents, and

139 se sheets, which can self-roll into distinct 3D structures including microscopic rings, tubules, and

140 to have its own preferred three-dimensional (3D) structure independent of the other chromosomes.

141 irs of small-molecule binding sites based on 3D structure information about the local microenvironmen

142 structural biology, providing complementary 3D structure information for biomolecules within samples

143 The 3D structure interconnected by ALG and GO ensures the hi

144 or synthesizing and converting nonplanar and 3D structures into planar forms.

145 the discovery of functional interactions and 3D structures involving RNA.

146 esis but experimental determination of their 3D structure is challenging.

147 ptide optimization showed that the antigen's 3D structure is essential to achieve neutralizing antibo

148 r of interphase including G2 phase, implying 3D structure is not sufficient to maintain replication t

149 olecules cannot be crystallized, hence their 3D structure is unknown.

150 ial species colonize surfaces and form dense 3D structures, known as biofilms, which are highly toler

151 The reconfigurable 3D structure makes it possible to change the fluidic pat

152 ations were mapped upon a three-dimensional (3D) structure modeled from the published crystal structu

153 ast majority of repeat proteins with unknown 3D structures, mostly because of the extreme diversity o

154 circle are the main factors that dictate the 3D structure of a 336 bp DNA minicircle under torsional

155 On the basis of the 3D structure of a bovine antibody with a well-folded, ul

156 ropose a novel approach to infer a consensus 3D structure of a genome from Hi-C data.

157 In summary, this study has revealed the 3D structure of a macrocyclic precursor protein and prov

158 hy were used for the first time to study the 3D structure of a metal functionalized CNC hybrid.

159 ons and by experimentally reconstructing the 3D structure of a porous material and a frozen-hydrated

160 d inspected by the user in the corresponding 3D structure of a protein or protein complex.

161 ay microscopy has been used to determine the 3D structure of a whole individual fluid catalytic crack

162 d computational protocols for predicting the 3D structure of an antibody from sequence (RosettaAntibo

163 ethod must be implemented to reconstruct the 3D structure of an object from a number of 2D projection

164 However, such information is limited as a 3D structure of any RE in the unbound form is not availa

165 mputationally modeling a plausible atomistic 3D structure of ApoE4.

166 re the application of CS for visualizing the 3D structure of biological specimens from tomographic ti

167 Fortunately, the 3D structure of chromosomes proves possible to construct

168 Here, we have modeled the 3D structure of dimeric, full-length LRRK2 by combining

169 onstrate that lamina recruitment changes the 3D structure of DNA, enabling Xist and its silencing pro

170 ture of the Ewald sphere, we reconstruct the 3D structure of each nanocrystal from a single-shot diff

171 Here we show that, in Campylobacter, the 3D structure of FlgK differs from that of its orthologs

172 CoV-OC43) as a model for CoV, we present the 3D structure of HCoV-OC43 N-NTD complexed with ribonucle

173 The 3D structure of Hui1 reveals a SAK1 fold, rationalizes K

174 ional methods are needed for visualizing the 3D structure of large RNAs.

175 agnitude, paving the way for deciphering the 3D structure of macromolecules.

176 Podocytes have a unique 3D structure of major and interdigitating foot processes

177 a sparsity-based approach to reconstruct the 3D structure of molecules.

178 The 3D structure of MotI bound to c-di-GMP was solved, and M

179 Here we determined the 3D structure of pb10 and investigated its capsid-binding

180 us, for the first time, to map the physical 3D structure of previously inaccessible habitats and dem

181 tivity in this population, we visualized the 3D structure of the axon initial segment (AIS) along wit

182 form lidar technology that measures the full 3D structure of the canopy.

183 We reveal the 3D structure of the cargo binding dynein tail and show h

184 The 3D structure of the cavity vacuum is reconstructed from

185 We report here the predicted 3D structure of the full-length TAS1R2/TAS1R3 heterodime

186 The 3D structure of the genome plays a critical role in regu

187 The 3D structure of the genome plays a key role in regulator

188 The 3D structure of the genome plays a vital role in biologi

189 ture (Hi-C) have been developed to probe the 3D structure of the genome.

190 details and to provide novel insights in the 3D structure of the heart.

191 nalytes are both closely packed in the quasi-3D structure of the lower epidermis, thereby enhancing t

192 The 3D structure of the mouse ASC-PYD filament is highly sim

193 to isolate because they are embedded in the 3D structure of the nucleus.

194 uorescence emission spectra that reflect the 3D structure of the protein aggregates.

195 Furthermore, if the 3D structure of the protein is known, this information a

196 nucleotide interactions that constitute the 3D structure of the query sequence.

197 Importantly, because of the 3D structure of the rings, these results were obtained a

198 vealed the solution shape of Mtalpha and the 3D structure of the subunit alpha C-terminal peptide (52

199 one, we developed an approach to predict the 3D structure of TMBs.

200 new opportunities to visualize the internal 3D structures of a bacterium.

201 structural model, which was compared to the 3D structures of A. flavus derived FADGDH and of two glu

202 S-MEE for the first time captured full-depth 3D structures of an anticyclonic and cyclonic eddy pair,

203 few methods can effectively reconstruct the 3D structures of an entire genome due to the difficulty

204 xtension of this control into multilayers or 3D structures of BCP microdomains remains limited, despi

205 tein Data Bank (RCSB PDB) provides access to 3D structures of biological macromolecules and is one of

206 eta-6 complexes revealed similarities in the 3D structures of bound partner proteins, suggesting the

207 Here we calculate 3D structures of entire mammalian genomes using data fro

208 ions from 4,742 tumors relative to all known 3D structures of human proteins in the Protein Data Bank

209 l methods have been developed to reconstruct 3D structures of individual chromosomes from chromosomal

210 e describe a method to reconstruct preferred 3D structures of individual chromosomes of the human gen

211 This method yielded two 3D structures of individual platinum nanocrystals at nea

212 essential for making sense of the intricate 3D structures of macromolecules.

213 oscope imaging techniques to obtain detailed 3D structures of oil-particle aggregates (OPAs) formed i

214 is a rapid alternative to the elucidation of 3D structures of peptide drug leads, which has been a co

215 s, has been successfully used to predict the 3D structures of proteins from sequences.

216 cal application (such as timely modeling the 3D structures of proteins targeted for drug development)

217 We make use of all experimentally available 3D structures of query proteins, and also, unlike other

218 g transmission electron microscopy to obtain 3D structures of rat rod bipolar cell terminals in 1-mum

219 t of conductive polymer and graphene forming 3D structures of reactive sites resulted in a N-MIP with

220 Therefore, comparing the 3D structures of RNA molecules can yield in-depth unders

221 Currently, two 3D structures of sigma1.1 are available: from Escherichi

222 Methods focusing on the analysis of 3D structures of such proteins identified many subtle ef

223 The method utilizes 3D structures of the corresponding protein-protein compl

224 zation of the relevant residue groups on the 3D structures of the corresponding proteins.

225 t can be used to computationally reconstruct 3D structures of the genome.

226 the same pattern of interactions observed in 3D structures of the motif.

227 eries (29) exploiting the recently available 3D structures of TSPO bound to its standard ligand (PK11

228 These models have been shown to simulate 3D structures of tumors in vitro with relatively low cos

229 Using embryonic stem cells, 3D structures of varying geometries were created and sta

230 This work shows that the three-dimensional (3D) structure of an HIV protein partially determines whi

231 Deciphering the three-dimensional (3D) structure of complex molecules is of major importanc

232 econstruction to obtain a three-dimensional (3D) structure of native vertebrate dynactin.

233 tion tools to present the three-dimensional (3D) structure of proteins in web browsers.

234 dies suggested an altered three-dimensional (3D) structure of the Ad14P1 fiber knob in the F-G loop r

235 The three-dimensional (3D) structure of the reactant, a helical diphenanthrene

236 ing and remodeling of the three-dimensional (3D) structure of the X chromosome.

237 ontains more than 120,000 three-dimensional (3D) structures of biological macromolecules.

238 Knowledge of three-dimensional (3D) structures of each individual particles of asymmetri

239 the interaction energies and 3-dimensional (3D) structures of FvTox1 and FvTox1-interacting peptide

240 a method for determining three-dimensional (3D) structures of individual nanoparticles in solution.

241 t upon sustained specific three-dimensional (3D) structures of RNA, with or without the help of prote

242 These unique high-performance 3D structures offer potential in fields ranging from wat

243 dent biofilm matrix that allows it to form a 3D structure on surfaces.

244 no computational framework to predict their 3D structures on the basis of programmed underlying mult

245 ogical scores display unique sub-clusters of 3D-structure-patterns of IBD pathology, which we call 3D

246 we developed a vaccine targeting VEGF using 3D-structured peptides that mimic the bevacizumab bindin

247 4.90 cd A(-1) ) are demonstrated by mixing a 3D-structured perovskite material (methyl ammonium lead

248 el families to become accessible to accurate 3D structure prediction as the number of available seque

249 he predicted contacts allow all-atom blinded 3D structure prediction at good accuracy for several kno

250 ide a general approach to the problem of RNA 3D structure prediction from sequence.

251 corporates this information into current RNA 3D structure prediction methods, specifically 3dRNA.

252 Encouraged by successful de novo 3D structure prediction of globular and alpha-helical me

253 e and function and as a component of protein 3D structure prediction pipelines.

254 nts a method to tackle a key step in the RNA 3D structure prediction problem, the prediction of the n

255 is a community-wide, blind assessment of RNA 3D structure prediction programs to determine the capabi

256 Our method makes much more accurate RNA 3D structure prediction than the original 3dRNA as well

257 se results indicate that optimization of RNA 3D structure prediction using evolutionary restraints of

258 Beyond 3D structure prediction, evolutionary couplings help ide

259 this report have immediate applications for 3D structure prediction, protein model assessment, and p

260 such substructuring could be useful for RNA 3D structure prediction, structure/function inference an

261 on conformations, a major bottleneck for RNA 3D structure prediction.

262 tion belong to the current challenges in RNA 3D structure prediction.

263 In contrast, the sensitivity to object 3D structure remains stable even through late adulthood

264 To demonstrate this concept, planar and 3D-structured sheets are preprogrammed to evolve into bi

265 red on secondary structure diagrams, but RNA 3D structures show that most such loops are structured b

266 the human genome across protein sequence to 3D structure space.

267 occupied molecular orbital) level, while the 3D structured spirobifluorene core can effectively suppr

268 A common path to the formation of complex 3D structures starts with an epithelial sheet that is pa

269 articles, this method may also be applied to 3D structure studies of such particles at nanometer reso

270 The 3D structure suggests a mechanism for dynactin assembly

271 target, cancer cell line, protein family and 3D structure summaries and tools.

272 unohistochemical staining was performed, and 3D structure tensor analyses were used to identify the c

273 l that can be designed to self-assemble into 3D structures that are fully determined by underlying Wa

274 hey bind to target molecules by folding into 3D structures that can discriminate different chiral com

275 umulate in human carotid plaques as distinct 3D structures that include aggregated and fused lipoprot

276 ach, liver and pancreas into self-assembling 3D structures that we have termed 'organoids'.

277 Based on similarities with Cdk2 3D structure, the Cdk9 peptide cross-linked by Hexim1 co

278 With very similar 3D structures, the widely expressed beta-arrestin isofor

279 hips could be proposed based on the enzymes' 3D structures; the hits' selectivity profiles appear to

280 se for the closest homolog with an available 3D structure to be used as a template.

281 of unfolding heat maps and a colored protein 3D structure to show the residues critical to the protei

282 RAG-3D search tool then compares a query RNA 3D structure to those in the database to obtain structur

283 omena found in nature and generating complex 3D structures to benefit diverse applications.

284 As such as ribozymes must fold into specific 3D structures to carry out their biological functions.

285 Finally, we used these 3D structures to generate contact maps.

286 that seamlessly links RNA three-dimensional (3D) structures to high-quality RNA multiple sequence ali

287 The RNA 3D Structure-to-Multiple Sequence Alignment Server (R3D-

288 The objects in RAG-3D consist of 3D structures translated into 3D graphs, cataloged based

289 cobalamin (F2PhEtyCbl) was prepared, and its 3D structure was studied in solution and in the crystal.

290 well as inner-section within the microcolony 3D structure were resistant to neutralization (vs. upper

291 After irradiation, 3D structures were dissociated and passaged as a monolay

292 The stabilities of the 2D and 3D structures were measured and compared by gradient tan

293 oundary genes in formation of more elaborate 3D structures, which also derive from organ primordia, r

294 ellular behavior in culture, yet quantifying 3D structure with nanoscale resolution to fully characte

295 anwhile, the chemical synthesis of organized 3D structures with a period of a few nanometers and a si

296 a paradigm for creating actively deployable 3D structures with complex shapes.

297 ncluding structures with tunable stiffening, 3D structures with gradient and programmable swelling pr

298 rom sequence only can be used to predict RNA 3D structures with much improved accuracy.

299 s a widely used, open-source Java viewer for 3D structures, with a powerful scripting language.

300 aphy, and the preparation of high-resolution 3D structures without sacrificing bulk material properti