ライフサイエンスコーパス: protein-protein interaction

1 ensional structure) and quaternary (specific protein-protein interactions).

2 r tweezer CLR01 tunes the 14-3-3/Cdc25CpS216 protein-protein interaction.

3 velopment of inhibitors of the VHL:HIF-alpha protein-protein interaction.

4 ural elements of TopoI-CTD utilized for this protein-protein interaction.

5 ximity of proteins as an indirect measure of protein-protein interaction.

6 , CSNK-2beta, and mTOR as a prerequisite for protein-protein interaction.

7 block the WDR5-mixed lineage leukemia (MLL) protein-protein interaction.

8 is no functional system for monitoring this protein-protein interaction.

9 n cyclic hexapeptides for inhibitors of this protein-protein interaction.

10 isomal import that depends on the PEX14-PEX5 protein-protein interaction.

11 bout the role that lipids play in modulating protein-protein interactions.

12 atile templates for developing inhibitors of protein-protein interactions.

13 cessfully used to measure spatially proximal protein-protein interactions.

14 ining insight into DNA-DNA, protein-DNA, and protein-protein interactions.

15 erfaces between proteins and thus, influence protein-protein interactions.

16 ein containing a BTB/POZ motif necessary for protein-protein interactions.

17 embrane permeable, and capable of modulating protein-protein interactions.

18 hat control glucuronidation activity through protein-protein interactions.

19 the frequency with which such motifs mediate protein-protein interactions.

20 f nonphysiological complexes by specializing protein-protein interactions.

21 and the intraoligomeric FRET resulting from protein-protein interactions.

22 ferent cGMP affinities, and isoform-specific protein-protein interactions.

23 ate a single reliability score for assessing protein-protein interactions.

24 he development of cyclopeptide inhibitors of protein-protein interactions.

25 ype alpha-helical repeats, which may mediate protein-protein interactions.

26 gical processes by phosphorylation-dependent protein-protein interactions.

27 e fate of proteins through the regulation of protein-protein interactions.

28 on factor activator protein-1 (AP-1) through protein-protein interactions.

29 tracellular trafficking, cell signaling, and protein-protein interactions.

30 es a region usually involved in ANK-mediated protein-protein interactions.

31 dinucleotide) binding domains that regulate protein-protein interactions.

32 ress the challenges associated with modeling protein-protein interactions.

33 coiled-coil motifs, typically implicated in protein-protein interactions.

34 face of the protein possibly involved in the protein-protein interactions.

35 s regulation, proteins, protein domains, and protein-protein interactions.

36 Rab13 appears to associate with vesicles via protein-protein interactions.

37 phosphate at the plasma membrane and mediate protein-protein interactions.

38 understanding protein structure/function and protein-protein interactions.

39 llosteric mechanisms as a general feature of protein-protein interactions.

40 ional fluctuations, catalysis, and transient protein-protein interactions.

41 iophysical approaches are available to study protein-protein interactions.

42 h challenging biomolecular targets including protein-protein interactions.

43 d that both missense variants led to altered protein-protein interactions.

44 L3, showing that it is highly accessible to protein-protein interactions.

45 re ubiquitous structural motifs that mediate protein-protein interactions.

46 e one was rationally designed for optimizing protein-protein interactions.

47 xploited as therapeutics to modulate complex protein:protein interactions.

48 analyses to decipher the transcriptional and protein-protein interaction activities of effector targe

49 Previous studies identified a network of protein-protein interactions among a subset of common ed

50 In this work, we first investigated protein-protein interactions among the apocytochrome c,

51 ns of target protein activity, localization, protein-protein interactions, among other functions, dra

52 , which are thought to form through multiple protein-protein interactions analogous to a liquid-liqui

53 titration combined with in vitro and in vivo protein-protein interaction analyses identified the AVR-

54 Differential gene expression and protein-protein interaction analyses reveal altered path

55 Multiple protein-protein interaction analyses suggest the direct

56 Differential expression, enrichment, and protein-protein interaction analysis of the proteomic da

57 Finally, protein-protein interaction analysis predicted several a

58 cal correlation between the top loci through protein-protein interaction and changes in the gene expr

59 antified with six different scores including protein-protein interaction and context based associatio

60 Protein-protein interaction and functional analyses of X

61 ions extracted from multiple sources such as protein-protein interactions and curated biological path

62 also integrated target gene associations and protein-protein interactions and designed our model to p

63 ar and extracellular responses by regulating protein-protein interactions and enzymatic activity.

64 re coordinated by a sophisticated network of protein-protein interactions and posttranslational modif

65 tial role for many cellular functions during protein-protein interactions and recognition processes.

66 mply important consequences for the study of protein-protein interactions and the assembly of both pr

67 reening of small-molecule inhibitors of such protein-protein interactions and the detailed characteri

68 ynthetase makes it possible to map transient protein-protein interactions and their interfaces in liv

69 d reassessing available experimental data on protein-protein interactions, and importing known pathwa

70 od to enhance protein stability, investigate protein-protein interactions, and improve the pharmacolo

71 regulating trafficking to the cell membrane, protein-protein interactions, and post-translational mod

72 e substantially enriched with co-expression, protein-protein interactions, and specific biological fu

73 containing domains are typically involved in protein-protein interactions, and we therefore sought to

74 Regulated protein-protein interactions are critical for cell signa

75 Protein-protein interactions are essential for the contr

76 Small, dense BCR clusters likely formed via protein-protein interactions are present on the surface

77 Protein-protein interactions are vital for protein funct

78 Protein:protein interactions are among the most difficul

79 Protein:protein interactions are fundamental in living o

80 However, they, as all other protein-protein interactions, are difficult to target by

81 twork partially overlaps previously reported protein-protein interactions as well as suggesting novel

82 Protein-protein interaction assays using a transmission-

83 identified by studying urinary proteins and protein-protein interactions at each stage of diabetic n

84 ) is a key element in the complex network of protein-protein interactions at microtubule (MT) growing

85 er, our protocol correctly identifies 81% of protein-protein interactions at the expense of only 19%

86 -particle EM can enrich our understanding of protein-protein interactions at the single-molecule leve

87 a reduced net charge, and in DNA binding and protein-protein interactions because key residues are tr

88 At last, the protein-protein interaction between Dlx3 and Osx in odon

89 The protein-protein interaction between the human CMG2 recep

90 ructure switch of TNFalpha that inhibits the protein-protein interaction between TNFalpha and TNFalph

91 n peroxide, supporting the importance of the protein-protein interaction between topoisomerase I and

92 We propose that the protein-protein interaction between UIS3 and host LC3 re

93 in molecular interaction was depleted due to protein-protein interaction between viral particles and

94 fy small molecules capable of inhibiting the protein-protein interactions between activated Galpha su

95 H3 mimetics ("magic bullets") to disrupt the protein-protein interactions between anti- and proapopto

96 Disrupting the protein-protein interactions between BRD4 and acetyl-lys

97 ng microscopy analysis demonstrated specific protein-protein interactions between OsONS1 and both O.

98 predicted from the number of currently known protein-protein interactions between P-body components.

99 Areas associated with protein-protein interactions between the trimer subunits

100 The inhibitors of the protein-protein interactions, bromodomains, and the beta

101 mitochondrial phosphoproteomics, analyses of protein-protein interactions by affinity enrichment-mass

102 GFPs have been widely applied for monitoring protein-protein interactions by expressing GFPs as two o

103 represents another example of regulation of protein-protein interactions by intramolecular mimicry.

104 Inhibition of protein-protein interactions by small molecules offers t

105 Finally, we show that protein-protein interactions can be used to assemble com

106 n intracellular adaptor molecule with a high protein-protein interaction capacity.

107 pha-lactalbumin:beta-lactoglobulin formulas, protein-protein interactions caused marked increases in

108 diated transcription, chromatin recruitment, protein-protein interactions, cell invasion and prolifer

109 ase mutant transgenes in model mice prevents protein-protein interaction changes of the complex induc

110 "Cluster-deconvolution" revealed visual protein-protein interaction clusters involved in process

111 controlled tool to map transient and dynamic protein-protein interaction complexes in living cells.

112 ost cell binding partners have shed light on protein-protein interactions critical to Nef function.

113 tive cell imaging data, gene expression, and protein-protein interaction data to systematically descr

114 of genetic interactions, and comparison with protein-protein-interaction data revealed a functional m

115 U, YscP, and YscI families suggests that the protein-protein interactions discussed in this study are

116 The in vivo significance of these protein-protein interaction domains of PCDH15 in hair ce

117 Protein-protein interactions dominate all major biologic

118 m, that is the blockade of the VHL:HIF-alpha protein-protein interaction downstream of HIF-alpha hydr

119 cidate their role for the diversification of protein-protein interactions during evolution.

120 new insights into the control mechanisms in protein-protein interactions during the Fe protein cycle

121 nucleus in response to CO2 A cohort of RelB protein-protein interactions (e.g. with Raf-1 and Ikappa

122 ation at a very low concentration to isolate protein-protein interaction effects.

123 High-throughput methods for screening protein-protein interactions enable the rapid characteri

124 naling scaffold SAP97, which, through direct protein-protein interactions, escorts beta2 signaling to

125 ighting the recently uncovered importance of protein-protein interactions, especially between the pep

126 f small-molecule inhibition of costimulatory protein-protein interactions, establish the structural r

127 termed MXPs), we assessed condition-specific protein-protein interactions for 50 select MXPs using af

128 a deubiquitinating enzyme, as a regulator of protein-protein interactions for the spliceosome dynamic

129 model with prior biological knowledge (i.e., protein-protein interactions) for biological network inf

130 monitoring of biochemical reactions, such as protein-protein interactions, for biosensing and biotech

131 le where protonation-ligation events enhance protein-protein interactions fundamental to many life pr

132 the data onto a biological networks such as protein-protein interaction, gene-gene interaction or an

133 n N-terminal non-repetitive region, and this protein-protein interaction has been proposed to promote

134 nt, dynamic, and unstructured nature of this protein-protein interaction has limited structural mappi

135 riving protein 3D structures and for probing protein/protein interactions has largely increased durin

136 pre-existing crystal structure of the target protein-protein interaction, hotspots grafting with CDR

137 critical neuronal signaling pathways through protein-protein interactions; however, the mechanism by

138 tobiological approaches use light to control protein-protein interaction in live cells and multicellu

139 e split-GFP system to assess in living cells protein-protein interactions in a dynamic cytoskeletal s

140 nces of DNA secondary structure and twist on protein-protein interactions in cooperative AGT complexe

141 us holds promise to identify other transient protein-protein interactions in membrane protein complex

142 this communication can be applied to detect protein-protein interactions in other organisms and path

143 AtZED1, that are important for immunity and protein-protein interactions in planta and in yeast (Sac

144 K-Ras dimerization involves direct but weak protein-protein interactions in solution, consistent wit

145 interference optical system can be used for protein-protein interactions in the micromolar KD value

146 nd allosteric mechanisms, as well as disrupt protein-protein interactions in transcriptional regulato

147 Design of small molecules that disrupt protein-protein interactions, including the interaction

148 anscriptional activity of beta-catenin via a protein-protein interaction, independent of SPDEF DNA bi

149 We previously proposed that the protein-protein interaction induces conformational rearr

150 Previous studies have revealed a plethora of protein-protein interactions influencing DAT cellular lo

151 fferes an opportunity for the development of protein-protein interaction inhibitors.

152 ds directly and selectively to a hydrophobic protein-protein interaction interface in the cytoplasmic

153 The protein-protein interaction interface maps to a patch of

154 e dynamics to translate kinase activities or protein-protein interactions into changes in fluorescenc

155 ription of aggregation-based inhibition of a protein-protein interaction involving tumor necrosis fac

156 ly controlled cell division via a network of protein-protein interactions involving DynA, DynB, FtsZ,

157 Protein-protein interactions involving intrinsically dis

158 vel mutations affect the binding affinity of protein-protein interactions is a key issue of protein e

159 eover, the accuracy of the identification of protein-protein interactions is improved by considering

160 l, and its LRR-domain (which likely mediates protein-protein interactions) is associated with the pla

161 at should be amenable to studying many other protein-protein interactions, is relatively simple and c

162 Broad-scale protein-protein interaction mapping is a major challenge

163 and turnover in InhA and how this may affect protein-protein interactions may facilitate the developm

164 Given the ubiquity of protein-protein interaction mediated by interactions bet

165 on is unaffected primarily because of robust protein-protein interactions mediated by the N-terminal

166 FR2 drives LUAD progression through aberrant protein-protein interactions mediated via its C-terminal

167 imaging and a mammalian membrane two-hybrid protein-protein interaction method, we identified eight

168 Mutations in highly connected nodes alter protein-protein interactions modulating macromolecular c

169 their properties will likely reveal further protein-protein interaction motifs to enrich our mechani

170 d quality control, we provide a scored human protein-protein interaction network (InWeb_InBioMap, or

171 Gene ontology enrichment analysis and protein-protein interaction network analysis are used to

172 in microglia and highlight an immune-related protein-protein interaction network enriched for previou

173 ments for complex formation and describe the protein-protein interaction network in which VirD4 is in

174 Protein-protein interaction network prediction, coexpres

175 r method is unbiased and scans a genome-wide protein-protein interaction network using a novel formul

176 Secondly, we built a protein-protein interaction network using the InnateDB d

177 NSL1, CRHR1, BOLA2, and GUCY1A3 are within a protein-protein interaction network with known PD genes.

178 n genes and phenotypes in HPO based on human protein-protein interaction network, both DLP and tlDLP

179 ype-gene associations for all the genes in a protein-protein interaction network, tlDLP benefits from

180 a real gene expression dataset and the human protein-protein interaction network, we demonstrate the

181 Alternative splicing is known to remodel protein-protein interaction networks ("interactomes"), y

182 trics evaluating the superenhancers quality, protein-protein interaction networks and enriched metabo

183 bcellular map can be used to refine existing protein-protein interaction networks and provides an imp

184 lipids control SH2 domain-mediated cellular protein-protein interaction networks and suggest a new s

185 Genome-scale human protein-protein interaction networks are critical to und

186 throughput, quantitative characterization of protein-protein interaction networks in a fully defined

187 trate how to leverage these opportunities in protein-protein interaction networks related to several

188 ciency incorporate biological networks, e.g. protein-protein interaction networks that have recently

189 d Annealing Network Aligner) and apply it to protein-protein interaction networks using S 3 as the to

190 d by analyses of RNA co-expression networks, protein-protein interaction networks, and gene regulator

191 Protein-protein interaction networks, together with othe

192 nsights from sequence profile alignments and protein-protein interaction networks.

193 f genome-wide association studies (GWAS) and protein-protein interaction networks.

194 Protein-protein interactions networks (PPINs) are known

195 The function of direct protein-protein interaction of phytochromes and cryptoch

196 Preventing the protein-protein interaction of the cellular chromatin bi

197 In this review, I will discuss the protein-protein interactions of FOXM1 that are critical

198 By applying SEC-PCP-SILAC, we analyzed protein-protein interactions of hyperactive BRAF(V)(600E

199 switches by mapping phosphorylation sites to protein-protein interactions of known structure and anal

200 lays a key role in the regulation of dynamic protein-protein interactions of the spliceosome.

201 orm through which cellular triggers, such as protein-protein interactions or post-translational modif

202 n p53 by mutagenesis, chemical modification, protein-protein interaction, or aggregation has been ass

203 iction, finding candidate genes of diseases, protein-protein interactions, or drug target relations,

204 l mechanism of action of disrupting critical protein-protein interactions, overcomes the limitations

205 Protein-protein interactions play a vital role in cellul

206 including cellular metabolism of compounds, protein-protein interactions, post-translational modific

207 the utility of computational mapping of the protein-protein interaction potential for designing focu

208 Comprehensive protein-protein interaction (PPI) analysis of viral prot

209 PMI is an inhibitor of the protein-protein interaction (PPI) between the transcript

210 ctive target for a challenging but strategic protein-protein interaction (PPI) inhibition approach.

211 Targeting protein-protein interaction (PPI) is rapidly becoming an

212 thologues, over 90% of which form a coherent protein-protein interaction (PPI) network containing kno

213 Paralleling the increasing availability of protein-protein interaction (PPI) network data, several

214 Recently, we reported a protein-protein interaction (PPI) network of cancer-asso

215 onal information in biological pathways or a protein-protein interaction (PPI) network, we can find b

216 into account the dependence of genes given a protein-protein interaction (PPI) network, we simulated

217 ques or highly dense subgraphs from a single protein-protein interaction (PPI) network.

218 Traditional Protein-Protein Interaction (PPI) networks, which use a

219 ge transfer method to reconstruct functional protein-protein interactions (PPI) networks between Epst

220 n this study, we use more than 52,000 unique protein-protein interactions (PPIs) across 349 different

221 raction is a promising therapeutic strategy, protein-protein interactions (PPIs) are considered poorl

222 Protein-protein interactions (PPIs) are crucial in many

223 Protein-protein interactions (PPIs) can offer compelling

224 Protein-protein interactions (PPIs) govern most processe

225 Targeting the complex network of protein-protein interactions (PPIs) has now been widely

226 w technology for monitoring multidimensional protein-protein interactions (PPIs) inside live mammalia

227 two-hybrid and TANGO, that convert transient protein-protein interactions (PPIs) into stable expressi

228 scale efforts have systematically catalogued protein-protein interactions (PPIs) of a cell in a singl

229 influenza virus polymerase involves complex protein-protein interactions (PPIs) of PA, PB1, and PB2

230 nse and repair (DDR) pathways by focusing on protein-protein interactions (PPIs) of the key DDR compo

231 Protein-protein interactions (PPIs) of these subunits pl

232 Protein-protein interactions (PPIs) regulate assembly of

233 The network of activator protein-protein interactions (PPIs) that underpin transc

234 we investigate mycobacteriophage Giles-host protein-protein interactions (PPIs) using yeast two-hybr

235 Protein regions that are involved in protein-protein interactions (PPIs) very often display a

236 into networks offers opportunities to reveal protein-protein interactions (PPIs) with functional and

237 Disordered protein-protein interactions (PPIs), those involving a f

238 Our protein-protein interaction predictions increased from 5

239 d in the context of miRNA biogenesis and the protein/protein interaction properties of Type B dsRBDs.

240 interspecies conservation, gene expression, protein-protein interactions, protein structure, etc.

241 s and describe their use in the detection of protein-protein interactions, proteolytic activities, an

242 Understanding the myriad protein-protein interactions required for cell function

243 Atomic modeling of protein-protein interactions requires the selection of n

244 and predicted drug-protein interactions and protein-protein interactions, respectively.

245 Here, we develop a highly parallel protein-protein interaction sequencing (PPiSeq) platform

246 of SA11-tsC and shed new light on functional protein-protein interaction sites of VP1.

247 This raises the question of how protein-protein interaction specificity is achieved on t

248 The importance of interface add-ons for protein-protein interaction specificity is demonstrated

249 FC-A), a small-molecule stabilizer of 14-3-3 protein-protein interactions, stimulates axon growth in

250 atasets (Nephroseq database), their reported protein-protein interactions (STRING database), kidney t

251 Protein-protein interaction studies further demonstrated

252 Protein-protein interaction studies supported the idea t

253 Protein-protein interaction studies then revealed that t

254 nockdown and overexpression experiments, and protein-protein interaction studies.

255 Structural protein:protein interaction studies reveal that the canc

256 riven transport network in Arabidopsis using protein-protein interaction, subcellular localization, g

257 pular techniques for measuring high-affinity protein-protein interactions, such as biosensing or calo

258 olysis, and mass spectrometry, we identified protein-protein interaction surfaces within the complex.

259 ding despite sequence divergence, suggesting protein-protein interactions sustain conserved collectiv

260 ted data identify the nature of the critical protein-protein interaction that enables antibody coatin

261 rged head group of surfactant/LPS promotes a protein-protein interaction that results in facile amylo

262 tion is achieved in part through networks of protein-protein interactions that assemble functionally

263 +) TnC binding Ca(2+) initiates a cascade of protein-protein interactions that begins with the openin

264 Here we show that the protein-protein interactions that control the peroxisoma

265 The protein-protein interactions that form this shell must b

266 further broadly caution the analyses of weak protein-protein interactions that may be pivotal for fun

267 ) assay and report for the first time on the protein-protein interactions that occur between ciliary

268 Transmembrane domains (TMDs) engage in protein-protein interactions that regulate many cellular

269 plex of two single-domain lectins formed via protein-protein interactions, the double-domain lectin f

270 ce of NAD(+) Thus, NAD(+) directly regulates protein-protein interactions, the modulation of which ma

271 SV-1 pUL7 and pUL51 form a stable and direct protein-protein interaction, their expression levels rel

272 cated RRM2 result in a higher probability of protein-protein interactions through altered electrostat

273 at many of these small molecules inhibit the protein-protein interactions through covalent modificati

274 ins and participates in an unknown number of protein-protein interactions throughout life.

275 retains Rap1 intracellularly through direct protein-protein interaction, thus preventing its cytopla

276 ity, and it disrupts repressor complexes via protein-protein interaction to enable viral gene transcr

277 anscription factors use both protein-DNA and protein-protein interactions to assemble appropriate com

278 Here we use protein-protein interactions to drive controlled aggrega

279 sponse to injury, extend this by analysis of protein-protein interactions, transcription factors and

280 ortant driving force for protein folding and protein-protein interaction, two open and fundamental pr

281 Protein-protein interaction was confirmed by co-immunopr

282 or in situ detection of a target protein and protein-protein interactions was developed.

283 ive effect of 1181 microRNAs-mRNAs pairs and protein-protein interactions was realized by applying wi

284 trometry and verified by staining for direct protein-protein interaction, we find that SPARC binds to

285 To define the mechanism of action of this protein-protein interaction, we have examined the intera

286 rownian forces that are readily perturbed by protein-protein interactions, we anticipate that this fu

287 Using cell-based reporters to map protein-protein interactions, we discovered that RI bind

288 metics to target the HNF1beta-importin alpha protein-protein interaction were designed, guided by X-r

289 As a proof of concept, 61,913 protein-protein interactions were confidently predicted

290 ic enzymatic specificity with the network of protein-protein interactions, which positions the enzyme

291 e coiled-coil region of WipA is engaged in a protein-protein interaction with a tyrosine-phosphorylat

292 tance of a MAPK docking domain necessary for protein-protein interaction with MAPKs and consequently

293 rface of IL-18 that is involved in extensive protein-protein interactions with both IL-18BP and its c

294 s of genes with coordination are involved in protein-protein interactions with each other, raising th

295 ' reflecting the formation of intermolecular protein-protein interactions with higher rate.

296 eted with the endogenous topoisomerase I for protein-protein interactions with RNA polymerase.

297 zation through simple, adhesive, stabilizing protein-protein interactions with RNAP holoenzyme.

298 tion of phospholipase activity is induced by protein-protein interactions with ubiquitin in the cytos

299 Vis-a-vis virion morphogenesis, an improper protein-protein interaction within an early assembly int

300 s that have difficult binding sites, such as protein-protein interactions, would open vast opportunit