ライフサイエンスコーパス: 3D structure

1 ation efficiency in forming a droplet into a 3D structure.

2 ics-based techniques can efficiently predict 3D structure.

3 as spatial frequency) that provide cues for 3D structure.

4 ge of applications arises from their defined 3D structure.

5 ymeric matrix, and maturation of the biofilm 3D structure.

6 ddition to control folding to the functional 3D structure.

7 ches which cannot adequately replicate their 3D structure.

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

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

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

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

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

13 t an object's future position or to derive a 3D structure.

14 reutilizing strategy based on a bio-mimetic 3D structure.

15 te an ab initio model of pneumococcal ComW's 3D-structure.

16 dopted in these compounds leading to the new 3D structures.

17 nding they constitute about 20% of all known 3D structures.

18 biomarkers with spatial localization within 3D structures.

19 ynthetic sequence variation might also yield 3D structures.

20 olithography demonstrates the scalability of 3D structures.

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

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

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

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

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

26 most promising methods to construct delicate 3D structures.

27 d Hi-C data and simultaneously infer allelic 3D structures.

28 dentified RLM-containing domains among known 3D structures (20%) and classified them according to the

29 iCn3D (I-see-in-3D) can simultaneously show 3D structure, 2D molecular contacts and 1D protein and n

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

31 st available database linking CS and protein 3D structures (5270 entries organized in three levels) a

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

33 n of total axon content in large and complex 3D structures after registration to a standard reference

34 an open-source algorithm, RNA-align, for RNA 3D structure alignment which has the structure similarit

35 g carriers because their membrane-disturbing 3D structure also affects weaker binders ( P((Cl/Na)) =

36 ar modeling studies were used to predict the 3D structure and analyze the interaction of selected com

37 er, including detailed PTM annotation on the 3D structure and biological information in terms of muta

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

39 most affected peak depends on the polymer's 3D structure and displays a ~1 cm(-1) shift and a broade

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

41 However, the roles of 3D structure and its dynamics in hormone-dependent breas

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

43 ide insertion is not indicative of unaltered 3D structure and solution behaviour.

44 s show that liquids have a highly nontrivial 3D structure and that this structural information is enc

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

46 substrates as a driving force for assembling 3D structures and functional microdevices from 2D precur

47 coprotein from SARS-CoV-2, based on reported 3D structures and glycomics data for the protein produce

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

49 important information for predicting protein 3D structures and protein functions.

50 d fine-resolution diploid chromatin maps and 3D structures and provided insights into the allelic chr

51 e advantages as it can visualize both native 3D structures and quantitative regional volume without i

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

53 Fabrication of three-dimensional (3D) structures and functional tissues directly in live a

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

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

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

57 eveals that the most important dimensions of 3D structure are distance and openness.

58 ive transcriptional elongation and chromatin 3D structure are enriched at rapidly silenced genes.

59 , together with inconsistencies in how their 3D structures are reported, has led to difficulties in c

60 Various 3D structures are successfully printed without support m

61 We solve its 3D structure by NMR and x-ray crystallography and valida

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

63 Stabilizing their active 3D-structure by appropriate modifications remains, howev

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

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

66 Comparison of RNA 3D structures can be used to infer functional relationsh

67 ntify and explore morphological variation in 3D structures can enable important discoveries and insig

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

69 format, RNA_normalizer, rna-tools) and (iii) 3D structure comparison metric tools (RNAQUA, MCQ4Struct

70 valuable tool for elucidating comprehensive 3D structures, compositions, and functions in diverse bi

71 ces, their predicted intrinsic disorder, and 3D structure contents is related to data on protein cell

72 Atomic-level three-dimensional (3D) structure data for biological macromolecules often p

73 RISMOID, a novel publicly available and free 3D structure database for a wide range of PTMs.

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

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

76 antibodies for neutralizing SARS-CoV-2 with 3D structures deposited in the Protein Data Bank (PDB).

77 monstrate that this method is suited to both 3D structure determination and correlative light/electro

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

79 tivity from the viewpoint of single-molecule 3D structure determination.

80 an experimental method of three-dimensional (3D) structure determination that exploits the increasing

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

82 tional applications in assembling multistate 3D structures driven by the magnetic force-induced buckl

83 ies with high active volume fraction, thick, 3D-structured electrodes (V(2) O(5) cathode and Li metal

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

85 were used in the CASE-3D (computer-assisted 3D structure elucidation) protocol.

86 Their 3D structures enabled comparisons with stereoselective l

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

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

89 t modification sites on 3919 related protein 3D structure entries pertaining to 37 different types of

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

91 nto a new direction of research for checking 3D structure "foldability" or "predictability" of relate

92 novo prediction of the membrane protein (MP) 3D structure followed by the embedding of the MP into th

93 onformational distributions and the detailed 3D structures for a set of three RNA hairpins that conta

94 Here, we report the three-dimensional (3D) structure for the active state of human kappaOR comp

95 printing strategy to fabricate controllable 3D structures from a single droplet ascribing to the rec

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

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

98 is essential that we can characterise their 3D structures, identifying the locations of individual n

99 3D structured illumination microscopy (3D-SIM) is the su

100 Here we apply super-resolution 3D structured illumination microscopy (3D-SIM) to invest

101 Here, we used 3D structured illumination microscopy, a subdiffraction-

102 Using 3D-structured illumination microscopy (3D-SIM) and live-

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

104 tagging, immunofluorescence microscopy, and 3D-structured illumination super-resolution microscopy,

105 ria for the reconstruction of macromolecular 3D structure in the field of cryoelectron microscopy (cr

106 The technology to print 3D structures in color at the microscopic scale promises

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

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

109 c images, since the embedding of interactive 3D structures in webpages is non-trivial.

110 regions while maintaining the 3-dimensional (3D) structure in the murine PDL.

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

112 cal UniProt sequences and associated protein 3D structures, including validation checks, and annotati

113 Analysis of the inferred 3D-structures indicates no difference in affinity of TDF

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

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

116 Its 3D structure is held together by pai-pai stacking intera

117 The mass value of each DNA bead in a 3D structure is novelly defined as one or more genetic o

118 Moreover, the 3D structure is predicted to have four alpha-helices int

119 Knowledge of their 3D structures is critical to understanding mechanisms of

120 sequence based predicted three dimensional (3D) structure is composed of four alpha-helices stabiliz

121 A single-molecule three-dimensional (3D) structure is essential for understanding the thermal

122 mutation clustering patterns in the protein 3D structures, literature annotation based on OncoKB, TP

123 e used to provide complementary, independent 3D structure measurements of these very large trees.

124 irigami enable the scale-invariant design of 3D structures, metamaterials, and robots from 2D startin

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

126 ndow which became possible through extensive 3D structure modeling covering the majority (74%) of all

127 the complete amino acid sequence, in silico 3D structure modeling, and the antiproliferative activit

128 The rational design of 3D structures (MOFs, COFs, etc.) is presently limited by

129 ited increased fMRI activations in the other 3D-structure nodes and more variably in other parts of v

130 Our results indicate that 3D-structure nodes in ITC form a strongly interconnected

131 Electrical stimulation of each of the 3D-structure nodes in ITC mainly elicited increased fMRI

132 -evaluation and standardized datasets), (ii) 3D structure normalization, analysis, manipulation, visu

133 While well-defined three-dimensional (3D) structures occur in biomineralization proteins, the

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

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

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

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

138 e the prediction results on a representative 3D structure of an HIV-1 antigen.

139 ET) is an approach for obtaining a snap-shot 3D structure of an individual macromolecule particle by

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

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

142 In good agreement, the 3D structure of camel alpha-lactalbumin determined by X-

143 data for nucleosome positions to predict the 3D structure of chromatin in the yeast genome.

144 In particular, we discuss how the 3D structure of chromatin, in addition to its DNA sequen

145 r models have successfully reconstructed the 3D structure of chromosome territories from Hi-C.

146 Reconstructing the 3D structure of different morphologies of DNs revealed t

147 nt years have seen important progress on the 3D structure of dimeric psi.

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

149 n limited by difficulties in determining the 3D structure of eyes.

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

151 between remote sensing measurements and the 3D structure of forests, and may thereby improve contine

152 ased on x-ray microtomography to measure the 3D structure of insect eyes and to calculate predictions

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

154 The high-resolution 3D structure of MeT1 in complex with its exhausted cofac

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

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

157 The 3D structure of PilE1, solved by NMR, revealed a classic

158 Here, we have shown the 3D structure of pncA can be used to accurately identify

159 on on how variants were likely to affect the 3D structure of pncA to identify variants likely to lead

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

161 import and visualize information such as the 3D structure of protein complexes, its role in reactions

162 ein interaction-specificity and maintain the 3D structure of proteins.

163 e a simple method that allows probing of the 3D structure of such systems.

164 ere, we use solid-state NMR to determine the 3D structure of the amyloid fiber formed by the human ho

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

166 de insight into the subunit organization and 3D structure of the CA, which is a prerequisite for unde

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

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

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

170 refore, provides a network framework for the 3D structure of the genome on a global scale.

171 Corrected Gene Proximity map is a map of the 3D structure of the genome on a global scale.

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

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

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

175 Thus the 3D structure of the glomerular capillary network provide

176 The 3D structure of the human pulmonary lymphatic network is

177 areas in the human brain represent both the 3D structure of the local visual environment and low-lev

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

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

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

181 Here, we report the 3D structure of the UDP-glucosyltransferase UGT76G1, inc

182 The 3D structure of the vertex complex shows interactions wi

183 The 3D structure of the X-shaped conformation contributes to

184 We also find that the compact 3D structure of the Xi partly depends on the Firre locus

185 aphy and subtomogram averaging to derive the 3D structure of the Z-band in the swimbladder sonic musc

186 an orthogonal technique to characterize the 3D structure of therapeutic antibodies, provides insight

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

188 ng has evolved as a valuable tool to predict 3D structures of biomolecular complexes.

189 3D structures of biomolecules (including proteins, DNA,

190 wide by delivering experimentally-determined 3D structures of biomolecules integrated with >40 extern

191 alyses of natural variants and with existing 3D structures of both glycoproteins to generate molecula

192 emplify its efficacy and speed for analyzing 3D structures of both proteins and nucleic acids.

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

194 er of computational tools that can model the 3D structures of chromosomes based on single-cell Hi-C d

195 (SCL), a computational method to reconstruct 3D structures of chromosomes based on single-cell Hi-C d

196 wever, recent breakthroughs in resolving the 3D structures of eFGF signaling complexes have now unvei

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

198 called bladder (cancer) organoids consist of 3D structures of epithelial cells that recapitulate many

199 The 3D structures of ERalpha, PR, EGFR and mTOR were obtaine

200 Here we have generated 3D structures of glycoforms of the spike (S) glycoprotei

201 GPCRs, similar to the variations observed in 3D structures of GPCR-G-protein complexes.

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

203 CoV-2 virus mutations with information about 3D structures of its proteins, allowing users to visuall

204 y by insights from experimentally determined 3D structures of ligands in complex with their targets.

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

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

207 been impressive advances in determining the 3D structures of protein complexes.

208 The accurate and reliable prediction of the 3D structures of proteins and their assemblies remains d

209 y focus on protein sequences, while the real 3D structures of PTMs have been largely ignored.

210 Using this approach, we uncover 3D structures of ribosomes directly from single embryo e

211 STAR3D compares the 3D structures of RNA molecules using consecutive base-pa

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

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

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

215 Here, we elucidated the 3D structures of two pterocarpan-forming proteins with d

216 spherically averaged, the three-dimensional (3D) structure of disordered systems is basically unknown

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

218 The three-dimensional (3D) structure of RiCE17 with a mannopentaose in the acti

219 sual systems estimate the three-dimensional (3D) structure of scenes from information in two-dimensio

220 IgG requires knowledge of three-dimensional (3D) structure of synthetic IgG.

221 in hormone secretion, the three-dimensional (3D) structure of the amyloid fibril of the human hormone

222 e, we have determined the three-dimensional (3D) structure of the catalytic module of human CAK, reve

223 The three-dimensional (3D) structure of the genome plays a crucial role in gene

224 cently made to obtain the three-dimensional (3D) structure of the genome with the goal of understandi

225 simulations to determine three-dimensional (3D) structures of activated beta-arrestin2 stabilized by

226 cks to realize deployable three-dimensional (3D) structures of arbitrary shape.

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

228 M), we resolved the first three-dimensional (3D) structures of K63 ubiquitinated ribosomes from oxida

229 the determination of the three-dimensional (3D) structures of macromolecules.

230 Three-dimensional (3D) structures of protein complexes are critical for gai

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

232 as crystallized and, for the first time, the 3D-structure of a fungal PPCDC elucidated.

233 proven in vivo activity, and determined the 3D-structure of the protein-ligand complex to 3.6 angstr

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

235 ires sectioning tissue, hence distorting its 3D structure, particularly in larger human samples.

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

237 lation factor 5/8 (F5/8C) domains, and their 3D structures predicted that they bind calcium and extra

238 structure and the 3D templates, we develop a 3D structure prediction approach.

239 omputational tools as well as a standard RNA 3D structure prediction assessment protocol for the comm

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

241 ng (i) decoy sets generated by different RNA 3D structure prediction methods (raw, for-evaluation and

242 n made in the efficiency and accuracy of RNA 3D structure prediction methods during the succeeding ch

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

244 d identifying limitations of the current RNA 3D structure prediction methods, this work is bringing u

245 rk set or decoy structures available for the 3D structure prediction of RNA, hindering the standardiz

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

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

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

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

250 the contact-map is thus essential to protein 3D structure prediction, which is particularly useful fo

251 ment of an RNA family for the success of RNA 3D structure prediction.

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

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

254 , and these pairwise couplings have improved 3D structure predictions.

255 ving input from parietal areas implicated in 3D-structure processing.SIGNIFICANCE STATEMENT Previous

256 sts that the skyrmion structure is a complex 3D structure rather than an identical planar texture thr

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

258 to create a continuous surface patch on the 3D structure, rendering it an IgE-binding hotspot.

259 The 3D structure reveals the binding mode of WIN 55,212-2 an

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

261 The glomerular 3D structure should help to understand its function, but

262 The 3D structures show that the protein surface is extensive

263 showed a PE entity with a three-dimensional (3D) structure similar to that of the recently published

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

265 Among all the global alignment tools for RNA 3D structures, STAR3D has become a valuable tool for its

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

267 woven textiles or on optimally configured 2D/3D structures such as serpentines and helical coils of c

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

269 reported by our group, prompted design of a 3D structure that maximizes cellular interaction, allows

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

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

272 3D structures that incorporate high-performance electron

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

274 context of known PTM annotations and protein 3D structures through homology-based search.

275 e, from the first description of an enzyme's 3D structure to a growing and deep understanding of the

276 ture as identified by BLAST, and thus relate 3D structure to a large fraction of all known proteins.

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

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

279 cable to any PPI of known three-dimensional (3D) structure, to identify and prioritize druggable cavi

280 DNA can fold into defined 3D structures upon binding to metal centers and/or lanth

281 ere additionally employed to produce complex 3D structures using high-resolution visible light 3D pri

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

283 onal scaling for modelling chromatin or TADs 3D structures was designed and benchmarked, which can ha

284 From known RNA 3D structures, we observed that the probability a G/U wi

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

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

287 nomethylpyridinium (AMPY) can template novel 3D structures which resemble conventional perovskites.

288 and artificial miRNAs can arrange in several 3D-structures which affect their activity and selectivit

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

290 Comparing the experimentally determined 3D structure with the control, RV-B5 incubated with solv

291 grams are displayed to compare the reference 3D structure with the one altered by SVs.

292 l, and experimental studies of ~20 different 3D structures with characteristic sizes (e.g., ribbon wi

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

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

295 ly heterogeneous aggregates ('organoids') or 3D structures with less physiological relevance ('sphero

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

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

298 BALOs yield a highly branched 3D structure within 21 days of culture, mimicking the ce

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

300 ns (IDRs) that do not fold into well-defined 3D structures yet perform numerous biological functions