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

1 ricting RECQ4 mitochondrial localization via protein-protein interaction.

2 regulates HCN channels via a cell-autonomous protein-protein interaction.

3 gn of stapled peptide inhibitors targeting a protein-protein interaction.

4 plete diffuse mHtt or by urea, which negates protein-protein interaction.

5 ed on the design of allosteric modulators of protein-protein interaction.

6 ll scaffolding and signaling are governed by protein-protein interactions.

7 e a new and alternative strategy to modulate protein-protein interactions.

8 nd cancer, features numerous WW domain-based protein-protein interactions.

9 rticles based on multivalent RNA-protein and protein-protein interactions.

10 tions, post-translational modifications, and protein-protein interactions.

11 nits forming an uninterrupted daisy chain of protein-protein interactions.

12 etwork, consisting of more than 2,000 binary protein-protein interactions.

13 09 has previously been shown to inhibit LSD1 protein-protein interactions.

14 interaction are not as abundant as that for protein-protein interactions.

15 ticipate in Cu exchange through highly tuned protein-protein interactions.

16 ve alpha-helical ligands developed to target protein-protein interactions.

17 dentifying the specific subcellular roles of protein-protein interactions.

18 hways that have been remodeled by changes to protein-protein interactions.

19 ligand-binding energy landscape and modulate protein-protein interactions.

20 ttranslational modifications, and by various protein-protein interactions.

21 ases, suggesting a role in the modulation of protein-protein interactions.

22 of multiprotein complexes that form through protein-protein interactions.

23 he formation of protein complexes via direct protein-protein interactions.

24 esis and adenylate cyclase activity, through protein-protein interactions.

25 function as signaling molecules by mediating protein-protein interactions.

26 and conformation and contribute crucially to protein-protein interactions.

27 modeling of peptides acting as inhibitors of protein-protein interactions.

28 g method used to study protein structure and protein-protein interactions.

29 For example, it is often used to study protein-protein interactions.

30 tron-radiation CD for mechanistic studies of protein-protein interactions.

31 inefficient but is abundantly available for protein-protein interactions.

32 act of each variant on protein structure and protein-protein interactions.

33 s with structure predictions of proteins and protein-protein interactions.

34 ApeC and ApeI:ApeP complexes depict striking protein-protein interactions.

35 ino acid substitutions to reprogram specific protein-protein interactions.

36 g their role in protein folding/stability or protein-protein interactions.

37 rovide key insights into HSF1 regulation via protein-protein interactions.

38 e of a membraneless compartment organized by protein-protein interactions.

39 dy, we have devised a new scheme for scoring protein-protein interactions.

40 served surface amino acids that likely drive protein-protein interactions.

41 abeling is a powerful approach for detecting protein-protein interactions.

42 ty of plant CRYs is regulated by alternative protein-protein interactions.

43 targeting in the fly through highly specific protein-protein interactions.

44 sms, based on the identification of specific protein-protein interactions.

45 sm are rapidly, and reversibly, regulated by protein:protein interactions.

46 rged macrocyclic inhibitor of the Keap1-Nrf2 protein-protein interaction, a particularly challenging

47 lized by newly synthesized peptidoglycan and protein-protein interactions across the septum.

48 ver, precisely how evolutionary variation in protein-protein interactions affects MADS box protein fu

49 Posttranslational modifications and protein-protein interactions alter p53 tetramerization a

50 Inhibition of this protein/protein interaction ameliorated inflammatory sym

51 Network analysis of known protein-protein interactions among screen results identi

52 Based on STRING analysis of protein-protein interactions among the reported putative

53 The protein-protein interactions amongst the Na/K-ATPase alp

54 We performed host-pathogen protein-protein interaction analysis between SARS-CoV-2

55 In vivo protein-protein interaction analysis, ChIP-qPCR and EMSA

56 Here, we introduce a cell-based assay for protein-protein interaction analysis.

57 We also build cellular senescence protein-protein interaction and co-expression networks.

58 tential candidates to inhibit the RGS/Galpha protein-protein interaction and enhance GPCR signaling.

59 n isoform-specific mechanism for calcineurin protein-protein interaction and localization.

60 we have carried out comparative viral-human protein-protein interaction and viral protein localizati

61 abilities of mass photometry for quantifying protein-protein interactions and clarify the energetics

62 with mass spectrometry was employed to probe protein-protein interactions and conformational changes

63 g copy number variants (CNVs), as well as on protein-protein interactions and information from cross-

64 er, has been associated with defects in eNOS protein-protein interactions and posttranslational modif

65 nction and role in cell and tissue dynamics, protein-protein interactions and protein regulatory netw

66 ncers, C-terminal phosphorylation alters p27 protein-protein interactions and shifts p27 from CDK inh

67 proximity labeling applications for mapping protein-protein interactions and subcellular proteomes i

68 chemical approach, whereby multiple modes of protein-protein interactions and symmetry are simultaneo

69 de binding, the multidentate organization of protein-protein interactions and the global architecture

70 he impact of residue mutations on AAV capsid protein-protein interactions and thus predict changes in

71 ructural component (such as DNA junction and protein-protein interaction) and DNA polarity.

72 ssion network, differential gene expression, protein-protein interaction, and brain intermediate phen

73 crucial processes such as protein turnover, protein-protein interaction, and protein targeting.

74 rk constructed from miRNA-gene associations, protein-protein interactions, and gene-disease associati

75 PR-based detection method, we find that some protein-protein interactions are essential for trimer fo

76 Protein-protein interactions are involved in a wide rang

77 proteins form oligomeric complexes and that protein-protein interactions are perturbed by some of th

78 of floral development, and shifting MADS box protein-protein interactions are predicted to have influ

79 Thus, it appears that while protein-protein interactions are required for PIP2 clust

80 g on gene ontologies, gene coexpression, and protein-protein interactions are used to identify conver

81 nding kinetics and equilibria of multivalent protein-protein interactions as a function of the kineti

82 calization, but rule out previously proposed protein-protein interactions as essential for polarizati

83 Here, we used mutant analysis, protein-protein interaction assays and DNA affinity puri

84 Notably, our protein-protein interaction assays show that the NEIL3 Z

85 Using protein-protein interaction assays, we show that ZMYM2 i

86 In particular, protein-protein interactions associated with the JNK apo

87 lity of APEX2 to capture the complex in vivo protein-protein interactions at the chlamydial inclusion

88 series of benzimidazolone inhibitors of the protein-protein interaction between BCL6 and its co-repr

89 and oxidation, G6P reduction, and increased protein-protein interaction between hexokinase II and mT

90 The protein-protein interaction between menin and mixed line

91 inhibition of MYC via the disruption of the protein-protein interaction between MYC and its chromati

92 and proximity ligation assays demonstrate a protein-protein interaction between PAI-1 and eNOS.

93 rom an mRNA display screen which inhibit the protein-protein interaction between PCSK9 and LDLR.

94 This effect is mediated by a novel protein-protein interaction between VP35 and NP that con

95 A cascade of protein-protein interactions between four herpes simplex

96 h of signal transduction is mediated by weak protein-protein interactions between globular peptide-bi

97 Crucially, protein-protein interactions between hGrx1, Atox1 and WL

98 sid could be modulated by a changing mode of protein-protein interactions between portal and capsid,

99 pectrometry, identifying 332 high-confidence protein-protein interactions between SARS-CoV-2 and huma

100 tion does not promote any specific exogenous protein:protein interactions, but instead stabilizes FAN

101 ated through multiple, systematic studies of protein-protein interactions by two-hybrid techniques an

102 witches in which a chemical compound induces protein-protein interactions can allow cellular function

103 odel for how these interactions can template protein-protein interactions causative of cellular toxic

104 evamp are more enriched for tissue-dependent protein-protein interactions compared to alternative app

105 esidues (PBRs) improves our understanding of protein-protein interactions, contributes to the predict

106 ion of developmental gene networks: changing protein-protein interactions could affect not only the c

107 gene descriptors (e.g. Gene Ontology terms, protein-protein interaction data and biological pathway

108 tiviral drug target discovery using existing protein-protein interaction data and network analysis me

109 derived from affected individuals and FAM50A protein-protein interaction data.

110 The expansion of protein-protein interaction databases and recent advance

111 st monomers, and was generally applicable to protein-protein interaction design, as it recapitulated

112 ctive starting point for further design of a protein-protein interaction detection system as well as

113 Our study reveals how specific protein-protein interactions drive the spatial organisat

114 In this work, a protein-protein interaction ELISA revealed the interacti

115 n, transcriptional regulation, regulation of protein-protein interactions, endocytosis, autophagy, DN

116 Short linear motifs (SLiMs) drive dynamic protein-protein interactions essential for signaling, bu

117 Protein-protein interaction experiments identified the R

118 D, FBDD for the stabilization of proteins or protein-protein interactions, FBDD for enzyme activators

119 Protein-protein interactions featuring intricate binding

120 ative proteomic workflow, we mapped over 450 protein-protein interactions for 21 stably expressed, fu

121 in general aimed at targeting intracellular protein-protein interactions for disease intervention.

122 7) and, via self-aggregation and heterotypic protein-protein interactions, form a condensate(1) in th

123 y, its discovery demonstrates that targeting protein-protein interactions found within the autophagy

124 ingle nucleotide variants (SNVs) across 2185 protein-protein interactions, generating interaction pro

125 s form supertertiary structures and modulate protein-protein interactions has only recently been addr

126 We hypothesized that protein-protein interactions have an important role in p

127 With approximately 53,000 protein-protein interactions, HuRI has approximately fou

128 nd phosphoprotein abundances, (ii) universal protein-protein interactions, (iii) shareable regulatory

129 hts the potential importance of the E2-DCTN6 protein-protein interaction in CSFV virulence and provid

130 rmed with the capacity to precisely modulate protein-protein interaction in time and space.

131 6(HP1), and H3K9 methylation stimulates this protein-protein interaction in vitro and in vivo.

132 entally determined patterns that are key for protein-protein interactions in 2 datasets of complexes,

133 mbrane interactions are just as important as protein-protein interactions in ANXB12 trimer formation

134 d a fraction of the estimated 300,000 binary protein-protein interactions in Arabidopsis.

135 ourse of our efforts to target intracellular protein-protein interactions in cancer, we observed that

136 These functions highly depend on protein-protein interactions in cell-cell junction and c

137 y transfer (FRET), and for quantification of protein-protein interactions in cells.

138 a proxy, we have identified the differential protein-protein interactions in each cancer type and pre

139 pose that ASAP1 is a hub protein for dynamic protein-protein interactions in mechanosensitive structu

140 or membrane proteins because of the roles of protein-protein interactions in membrane protein functio

141 l to glutamatergic dysregulation and suggest protein-protein interactions in mGluR5-GluN complexes as

142 ition and consistent with diffusion-mediated protein-protein interactions in the absence of long-rang

143 say that readily detects these intercellular protein-protein interactions in the less than or equal t

144 del links atomistic molecular simulations of protein-protein interactions in the thin-filament regula

145 teraction (PhotoPPI) profiling method to map protein-protein interactions in vitro and in live cells.

146 Protein-protein interactions indicate an extensive netwo

147 inhibition of transcription factor-cofactor protein-protein interactions, inhibition of transcriptio

148 delivery of a notoriously difficult class of protein-protein interaction inhibitors that displayed on

149 Then we use it to predict protein-protein interaction interface residue pairs, and

150 packing often influences ligand-binding and protein-protein interaction interfaces, which are the ke

151 of cancer metastasis by inhibiting a crucial protein-protein interaction involved in actin filament p

152 However, protein-protein interactions involving proline-rich segm

153 Targeting the menin-MLL protein-protein interaction is a new therapeutic strateg

154 its multiple active domains and its diverse protein-protein interactions is a key question in unders

155 egulation of DNA cleavage activity via trans protein-protein interactions, is unexpectedly rigid in f

156 -promoting splicing regulator hnRNPM through protein-protein interaction, it also directly binds to R

157 twork composed of a gene regulatory layer, a protein-protein interaction layer, and a metabolic layer

158 Protein-protein interactions lie at the heart of many bi

159 s that can enter cells and disrupt essential protein-protein interactions may be applicable in broad

160 We identify IFN-dependent protein-protein interactions mediating novel regulatory

161 dicinal chemistry such as the development of protein-protein interaction modulators.

162 von Willebrand factor type A (VWA) domains, protein-protein interaction modules found in a range of

163 LIM domains are protein-protein interaction modules found in cytoskeleta

164 consistent with the simplest scenario for a protein-protein interaction; namely, a two-state mechani

165 t the level of DNA, protein, and cooperative protein-protein interactions, necessitating high-through

166 The non-random interaction pattern of a protein-protein interaction network (PIN) is biologicall

167 ike gene expression, Gene Ontology (GO), and protein-protein interaction network (PPIN) are utilized

168 Our protein-protein interaction network analysis identified

169 understand this, we first characterized the protein-protein interaction network of Rrp9 within the S

170 urther defines the molecular composition and protein-protein interaction network of the IMAC and Ushe

171 Here, we present the protein-protein interaction network of TULP3, a protein

172 esponses already characterized in A thaliana Protein-protein interaction network reconstitution then

173 The cellular protein-protein interaction network that governs cellula

174 Exploiting the latter observation, we used a protein-protein interaction network to identify robust s

175 ignaling and ontological pathways, clustered protein-protein interaction network using multilayer net

176 etworks, signaling and ontological pathways, protein-protein interaction network, and survival functi

177 e has the most comprehensively characterized protein-protein interaction network, or interactome, of

178 ng the interaction between two diseases in a protein-protein interaction network.

179 well as network properties derived from the protein-protein interaction network.

180 map IFN-induced rearrangements in the human protein-protein interaction network.

181 Based on a ranked list and protein-protein-interaction network, missense variants i

182 y their similarity to known disease genes in protein-protein interaction networks and identified gene

183 e sophisticated approaches applied to global protein-protein interaction networks and pathway databas

184 With the rapid discovery of cellular protein-protein interaction networks and regulatory mech

185 ly ranked associations were constructed into protein-protein interaction networks and visualized onto

186 gene activation is the formation of dynamic protein-protein interaction networks between transcripti

187 Our results suggest that protein-protein interaction networks can be used to prio

188 Are "turn-on" and "turn-off" functions in protein-protein interaction networks exact opposites of

189 conducted enrichment analyses and in silico protein-protein interaction networks to explore the biol

190 framework can be applied to high-throughput protein-protein interaction networks to gain novel insig

191 Hub proteins are central nodes in protein-protein interaction networks with critical impor

192 nformation in the form of kernels (e.g. from protein-protein interaction networks).

193 mmune-related functions, coded for nonrandom protein-protein interaction networks, and coexpressed in

194 ncoding proteins that are connected in human protein-protein interaction networks, and that at the sa

195 n in genes with biological networks, such as protein-protein interaction networks, to identify cancer

196 t carried variants in genes that interact on protein-protein interaction networks.

197 nd constructed the preeclampsia module using protein-protein interaction networks.

198 NG for the retrieval of pathway diagrams and protein-protein interaction networks.

199 highly connected in both gene regulatory and protein-protein interaction networks.

200 Protein-protein-interaction networks (PPINs) organize fu

201 we provide the first studies targeting a key protein-protein interaction of the GABA(B) receptor comp

202 Here we examine the wider protein-protein interactions of plant glycolytic enzymes

203 c carbene generation to selectively identify protein-protein interactions on cell membranes, an appro

204 To assess the impact of changing MADS box protein-protein interactions on transcription factor fun

205 of TurboID that can be reconstituted through protein-protein interactions or organelle-organelle inte

206 ing post-translational modifications (PTMs), protein-protein interaction, or by the global environmen

207 Based on metabolic fluxes and protein:protein interactions, our model of TAG synthesis

208 ery with a case study about confirmations of protein-protein interactions over time.

209 network-i.e., the number of weak attractive protein-protein interactions per unit of volume-determin

210 s revealed by analyzing alpha-helix-mediated protein-protein interaction (PPI) complex structures.

211 light-dependent proximal labeling of a model protein-protein interaction (PPI) in vitro.

212 gained great attention for their function as protein-protein interaction (PPI) inhibitors.

213 Hence, inhibiting the PEX14-PEX5 protein-protein interaction (PPI) is an attractive way t

214 Towards this end, we performed a protein-protein interaction (PPI) network analysis of kn

215 tology (GO), Hallmark pathway enrichment and protein-protein interaction (PPI) network analysis.

216 more, the key genes were evaluated through a protein-protein interaction (PPI) network combined with

217 gued that there is some special structure in protein-protein interaction (PPI) network data that migh

218 g gene expression with gene networks such as protein-protein interaction (PPI) network, gene co-expre

219 Cytoscape software were used to construct a protein-protein interaction (PPI) network, then the modu

220 s interactions with other genes in the whole protein-protein interaction (PPI) network.

221 ting features derived from sequence data and protein-protein interaction (PPI) network.

222 Protein-protein interaction (PPI) networks are frequentl

223 To characterize how protein-protein interaction (PPI) networks change, we qu

224 Specifically, we built protein-protein interaction (PPI) networks with proteins

225 In addition, we find altered protein-protein interaction (PPI) of mGluR5 with RGS4, n

226 ion, drug-drug interaction (DDI) prediction, protein-protein interaction (PPI) prediction; and 2 node

227 ty of molecular target interactions, such as protein-protein interaction (PPI), remains to be elucida

228 to full-length kinase functions by reporting protein-protein interaction (PPI)-dependent, mutation-sp

229 tivity is regulated via a complex network of protein-protein interactions (PPI).

230 come a powerful structural tool for defining protein-protein interactions (PPIs) and elucidating arch

231 tein interfaces, can change the stability of protein-protein interactions (PPIs) and impact their fun

232 Protein-protein interactions (PPIs) are an essential par

233 Protein-protein interactions (PPIs) are central to many

234 Protein-protein interactions (PPIs) are fundamental in m

235 Protein-protein interactions (PPIs) are involved in many

236 Disruption of protein-protein interactions (PPIs) between Na(v)1.6 and

237 ndly web server for structural prediction of protein-protein interactions (PPIs) between the host and

238 Protein-protein interactions (PPIs) control many importa

239 Stabilization of protein-protein interactions (PPIs) holds great potentia

240 Structure-based stabilization of protein-protein interactions (PPIs) is a promising strat

241 A comprehensive examination of protein-protein interactions (PPIs) is fundamental for t

242 The complexity of protein-protein interactions (PPIs) is further compounde

243 Cell-surface protein-protein interactions (PPIs) mediate cell-cell co

244 We analyzed the predicted protein-protein interactions (PPIs) of all gene products

245 Protein-protein interactions (PPIs) play essential roles

246 Protein-protein interactions (PPIs) play important roles

247 of years is reflected in dynamic virus-host protein-protein interactions (PPIs) that are intrinsic t

248 enact a range of cellular functions through protein-protein interactions (PPIs) with client proteins

249 Biochemical techniques that evaluate these protein-protein interactions (PPIs), such as in vitro pu

250 interactions) and two extrinsic evaluations (protein-protein interaction prediction and drug-drug int

251 tal to many biological applications, such as protein-protein interaction prediction and literature-ba

252 expression plots as well as enrichments and protein-protein interaction prediction can be generated

253 We propose that these multifaceted protein-protein interaction properties are made possible

254 FPOP is utilized to study protein-protein interactions, protein-ligand interaction

255 nfluences H1 CTD condensation through direct protein-protein interaction, rather than alterations in

256 Our results demonstrate that protein-protein interactions regulate the activities of

257 cis-to-trans switch that is likely to enable protein-protein interactions required for assembly of re

258 g insights into enterovirus species-specific protein-protein interactions required for virus replicat

259 into gene regulation by CHD7, we performed a protein-protein interaction screen by incubating recombi

260 CI) assembly factor NDUFAF5 in a large-scale protein-protein interaction screen.

261 However, applying protein-protein interaction screening of NCBP1, 2 and 3,

262 we find an opposite gradient where a modular protein-protein interaction signal is strongest in the f

263 The identification of the protein-protein interaction site is anticipated to lead

264 hallenges: protein pocket-ligand prediction, protein-protein interaction site prediction and ultrafas

265 We will highlight the lysine-rich regions, protein-protein interaction sites, and post-translationa

266 Protein-protein interaction specificity is often encoded

267 Protein-protein interaction studies (yeast two-hybrid an

268 Molecular dynamics and protein-protein interaction studies showed that LDH and

269 Protein-protein interaction studies showed that the join

270 omains in defined phosphorylation states for protein-protein interaction studies with isolated cardia

271 Protein: protein interaction studies including yeast two

272 ur model identifies more known and predicted protein-protein interactions than other competing networ

273 Our data demonstrate the relevance of this protein-protein interaction that contributes to the form

274 some, there is little molecular insight into protein-protein interactions that drive the assembly pro

275 study, we provide detailed insights into the protein-protein interactions that occur between domains

276 Molecular glue compounds induce protein-protein interactions that, in the context of a u

277 molecule (35d) that disrupts the RAD51-BRCA2 protein-protein interaction, thus mimicking the effect o

278 pull-down technique previously used to study protein-protein interactions to allow for robust measure

279 that evolutionary change involved changes in protein-protein interactions to favor Cas2 binding over

280 lity.IMPORTANCE Nonenveloped viruses rely on protein-protein interactions to shield their genomes fro

281 in a regulatory accessory protein can affect protein-protein interactions to significantly alter the

282 r integrating transcriptome and miRome using protein-protein interactions, transcription factor regul

283 We incorporate SARS-CoV-2 virus-host protein-protein interactions, transcriptomics, and prote

284 ining a challenge for in vivo detection, the protein-protein interactions underlying these disease-sp

285 e set of these overlays was observed for the protein-protein interaction uPA.uPAR.

286 In support of a protein-protein interaction, we found that FMRP associat

287 i) since more data are available for general protein-protein interactions, we employ transfer learnin

288 developed for studying protein structure and protein-protein interactions when coupled with mass spec

289 We find that vHMM-HA suppresses CD44 protein-protein interactions, whereas HMM-HA promotes th

290 esize that disruption of the Beclin 1-ATG14L protein-protein interaction, which is required for the f

291 A surface loading enhanced BSA adsorption by protein-protein interaction, which less ordered structur

292 ene promoters in neuroblastoma cells through protein-protein interaction with the sequence-specific z

293 Receptor movement is constrained by protein-protein interactions with both the intracellular

294 de (CTP) motif that mediates a wide array of protein-protein interactions with DNA-metabolizing prote

295 Analysis of protein-protein interactions with other members indicate

296 s, which also bridge the catalytic domain in protein-protein interactions with SANT (Swi3, Ada2, N-Co

297 Some of them are also involved in protein-protein interactions, with receptor tyrosine kin

298 on of DISC1 through the determination of its protein-protein interactions within an in vitro setting,

299 Hence, targeting key protein-protein interactions within receptor complexes p

300 es at the HIV-1 MA C terminus help stabilize protein-protein interactions within the HIV-1 MA lattice