ライフサイエンスコーパス: protein interaction

1 clic peptide inhibitors of a vital HIV-1 RNA-protein interaction.

2 e in the protein activity due to the saponin-protein interaction.

3 RECQ4 mitochondrial localization via protein-protein interaction.

4 s HCN channels via a cell-autonomous protein-protein interaction.

5 specific variations and their effect on drug-protein interaction.

6 ffuse mHtt or by urea, which negates protein-protein interaction.

7 e design of allosteric modulators of protein-protein interaction.

8 ant CRYs is regulated by alternative protein-protein interactions.

9 g in the fly through highly specific protein-protein interactions.

10 ive fragments to covalently capture fragment-protein interactions.

11 and biophysical details of Na(V) -accessory protein interactions.

12 ed on the identification of specific protein-protein interactions.

13 olding and signaling are governed by protein-protein interactions.

14 and alternative strategy to modulate protein-protein interactions.

15 ance of genotype-specific variations in drug-protein interactions.

16 virus and identified hundreds of direct RNA-protein interactions.

17 r, features numerous WW domain-based protein-protein interactions.

18 tion) to identify the primary viral RNA-host protein interactions.

19 based on multivalent RNA-protein and protein-protein interactions.

20 ming an uninterrupted daisy chain of protein-protein interactions.

21 ost-translational modifications, and protein-protein interactions.

22 ld cause disease is by affecting crucial RNA-protein interactions.

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

24 l functions, such as viral budding and lipid-protein interactions.

25 reviously been shown to inhibit LSD1 protein-protein interactions.

26 for rapidly characterizing the energetics of protein interactions.

27 tion are not as abundant as that for protein-protein interactions.

28 round their genomes via extensive nucleotide-protein interactions.

29 cellular functions by way of heparan sulfate-protein interactions.

30 ity relationships of PS ASO modification and protein interactions.

31 in Cu exchange through highly tuned protein-protein interactions.

32 -helical ligands developed to target protein-protein interactions.

33 ng the specific subcellular roles of protein-protein interactions.

34 tion of protein complexes via direct protein-protein interactions.

35 ance has been viewed largely in terms of DNA-protein interactions.

36 of peptides acting as inhibitors of protein-protein interactions.

37 r example, it is often used to study protein-protein interactions.

38 ach variant on protein structure and protein-protein interactions.

39 tant for DNA secretion by N. gonorrhoeae for protein interactions.

40 ey insights into HSF1 regulation via protein-protein interactions.

41 embraneless compartment organized by protein-protein interactions.

42 he membrane and involves only minimal ligand-protein interactions.

43 ave devised a new scheme for scoring protein-protein interactions.

44 of these proteins to LEs is mediated by ASO-protein interactions.

45 urface amino acids that likely drive protein-protein interactions.

46 is a powerful approach for detecting protein-protein interactions.

47 hat can influence protein functions by lipid-protein interactions.

48 rocyclic inhibitor of the Keap1-Nrf2 protein-protein interaction, a particularly challenging target d

49 newly synthesized peptidoglycan and protein-protein interactions across the septum.

50 in previous studies displayed dysfunctional protein interaction activity.

51 hree-layered gas-and-brake mechanism of bHLH protein interactions, adding a layer of complexity to wh

52 hat the capability of DESMOND to incorporate protein interactions allows identifying the biologically

53 Protein interaction analyses revealed that FRS7 and FRS1

54 Using a combination of protein interaction analyses, characterization of patien

55 BABA-IR), using untargeted transcriptome and protein interaction analyses.

56 We performed host-pathogen protein-protein interaction analysis between SARS-CoV-2 and over

57 In vivo protein-protein interaction analysis, ChIP-qPCR and EMSA were pe

58 we introduce a cell-based assay for protein-protein interaction analysis.

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

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

61 m-specific mechanism for calcineurin protein-protein interaction and localization.

62 Experiments focused on protein interaction and trafficking identified CLN6 as a

63 ignaling events through heparan sulfate (HS)-protein interactions and are associated with the onset o

64 s of mass photometry for quantifying protein-protein interactions and clarify the energetics and kine

65 provides a blueprint for modeling viral-host protein interactions and highlights several important co

66 umber variants (CNVs), as well as on protein-protein interactions and information from cross-species

67 ith relatively fewer intra- and inter-capsid protein interactions and less stably associated tegument

68 -terminal phosphorylation alters p27 protein-protein interactions and shifts p27 from CDK inhibitor t

69 report the characterization with respect to protein interactions and signal-transducing activity of

70 ty labeling applications for mapping protein-protein interactions and subcellular proteomes in live m

71 approach, whereby multiple modes of protein-protein interactions and symmetry are simultaneously ach

72 s applications, including the study of lipid-protein interactions and the development of novel drug d

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

74 twork, differential gene expression, protein-protein interaction, and brain intermediate phenotype as

75 processes such as protein turnover, protein-protein interaction, and protein targeting.

76 termine binding constants for diacylglycerol-protein interactions, and kinetic parameters for diacylg

77 How these HSF1 regulatory protein interactions are altered in response to acute an

78 Protein-protein interactions are involved in a wide range of cel

79 l development, and shifting MADS box protein-protein interactions are predicted to have influenced fl

80 Thus, it appears that while protein-protein interactions are required for PIP2 clustering, f

81 e ontologies, gene coexpression, and protein-protein interactions are used to identify convergence of

82 n(2+), which suggests the importance of salt-protein interactions as described by the Hofmeister effe

83 on, but rule out previously proposed protein-protein interactions as essential for polarization.

84 l determinants responsible for HTR2A-Galphaq protein interactions as well as the conformational rearr

85 A protein interaction assay revealed that PUT3 physically

86 Here, we used mutant analysis, protein-protein interaction assays and DNA affinity purification

87 Protein interaction assays indicate that the PRRs exert

88 In particular, protein-protein interactions associated with the JNK apoptotic p

89 n facilitate real-time communication between protein interactions at distinct sites.

90 of benzimidazolone inhibitors of the protein-protein interaction between BCL6 and its co-repressors.

91 dation, G6P reduction, and increased protein-protein interaction between hexokinase II and mTOR.

92 This effect is mediated by a novel protein-protein interaction between VP35 and NP that controls bo

93 ently described mechanism mediates selective protein interactions between acidic domain readers and u

94 Crucially, protein-protein interactions between hGrx1, Atox1 and WLN5-6 wer

95 d be modulated by a changing mode of protein-protein interactions between portal and capsid, across a

96 try, identifying 332 high-confidence protein-protein interactions between SARS-CoV-2 and human protei

97 d application of this GFP pair for measuring protein interactions between the proteasome and interact

98 e and interacting proteins and for measuring protein interactions between three partners when combine

99 s not promote any specific exogenous protein:protein interactions, but instead stabilizes FANCI:FANCD

100 installing a specific probe to study peptide-protein interactions by (19) F NMR spectroscopy.

101 ough multiple, systematic studies of protein-protein interactions by two-hybrid techniques and of aff

102 Moreover, PS ASO protein interactions can affect many aspects of their pe

103 in which a chemical compound induces protein-protein interactions can allow cellular function to be c

104 drug-like roles, their size, stability, and protein interaction capabilities make CDPs an attractive

105 how these interactions can template protein-protein interactions causative of cellular toxicity.

106 (PBRs) improves our understanding of protein-protein interactions, contributes to the prediction of p

107 evelopmental gene networks: changing protein-protein interactions could affect not only the compositi

108 scriptors (e.g. Gene Ontology terms, protein-protein interaction data and biological pathway informat

109 that the integration of gene expression and protein interaction data improves the robustness of pred

110 e-wide association findings for SCZ and ASD, protein interaction data, and gene expression signatures

111 from affected individuals and FAM50A protein-protein interaction data.

112 The expansion of protein-protein interaction databases and recent advances in RNA

113 We have developed CRISPR-assisted RNA-protein interaction detection method (CARPID), which lev

114 arting point for further design of a protein-protein interaction detection system as well as novel FA

115 sal membrane protein motifs, including lipid-protein interactions, domain rearrangement, and water-me

116 nitrogen (N) deprivation, and its predicted protein interaction domains are necessary for function.

117 Such tethering can occur via protein interaction domains in the kinase or via anchori

118 SH3 domains are common protein interaction domains that typically bind proline-

119 ealed more complexity and promiscuity in the protein interactions driving CCP maturation than anticip

120 Losing these RNA-protein interactions due to the SINE deletion likely cre

121 In silico predictions of protein interactions entail sampling different conformat

122 linear motifs (SLiMs) drive dynamic protein-protein interactions essential for signaling, but sequen

123 tein complexes and pathways, and finds novel protein interactions, even within well-characterized com

124 Protein-protein interaction experiments identified the Rab7 GTPa

125 Gene and protein interaction experiments provide unique opportuni

126 for the stabilization of proteins or protein-protein interactions, FBDD for enzyme activators, new sc

127 Protein-protein interactions featuring intricate binding epitope

128 ral aimed at targeting intracellular protein-protein interactions for disease intervention.

129 via self-aggregation and heterotypic protein-protein interactions, form a condensate(1) in the Xi.

130 iscovery demonstrates that targeting protein-protein interactions found within the autophagy pathway

131 ngle nucleotide polymorphisms can affect RNA-protein interactions from outside binding motifs through

132 upertertiary structures and modulate protein-protein interactions has only recently been addressed an

133 rize recent progress in understanding PS ASO protein interactions, highlighting the proteins with whi

134 With approximately 53,000 protein-protein interactions, HuRI has approximately four times

135 hoprotein abundances, (ii) universal protein-protein interactions, (iii) shareable regulatory informa

136 rmore, electrostatics may rescue the heparin/protein interaction in the absence of the canonical bind

137 and H3K9 methylation stimulates this protein-protein interaction in vitro and in vivo.

138 tion through proximity labeling of transient protein interactions in cell-free Xenopus laevis egg ext

139 way to quantitatively correlate the roles of protein interactions in conformational dynamics at the m

140 We identify > 26,000 protein interactions in IFN-stimulated and unstimulated

141 methods are needed to systematically map RNA-protein interactions in living cells in an unbiased mann

142 t ASAP1 is a hub protein for dynamic protein-protein interactions in mechanosensitive structures, suc

143 readily detects these intercellular protein-protein interactions in the less than or equal to 10 nm

144 xperiments reveal a stark reduction of lipid-protein interactions in the TQ mutant explaining the dra

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

146 els have been explored in the context of LTR-protein interactions, in this work for the first time HI

147 Protein-protein interactions indicate an extensive network of co

148 To investigate how these lipid/protein interactions influence alpha-syn at the residue

149 often influences ligand-binding and protein-protein interaction interfaces, which are the key points

150 However, protein-protein interactions involving proline-rich segments are

151 olecular picture of a key shear-mediated DNA-protein interaction is provided here and it constitutes

152 However, whether this protein interaction is regulated by a mechanism other th

153 tiple active domains and its diverse protein-protein interactions is a key question in understanding

154 n of DNA cleavage activity via trans protein-protein interactions, is unexpectedly rigid in free Cre.

155 Here, we establish protein interaction kinetics and estimation of stoichiom

156 -time single-molecule fluorescence assay for protein interaction kinetics on eukaryotic mRNA populati

157 r ATP7B have been hypothesized to affect its protein interaction landscape contributing to loss of fu

158 These results offer a glimpse of the protein interaction landscape of SS-31 and provide mecha

159 mposed of a gene regulatory layer, a protein-protein interaction layer, and a metabolic layer.

160 an enter cells and disrupt essential protein-protein interactions may be applicable in broad outline

161 t on the importance of protein clearance and protein interaction mechanisms in prion-like models of n

162 Glycosaminoglycan (GAG)-protein interactions mediate critical physiological and

163 We identify IFN-dependent protein-protein interactions mediating novel regulatory mechanis

164 lebrand factor type A (VWA) domains, protein-protein interaction modules found in a range of ECM prot

165 expression, Gene Ontology (GO), and protein-protein interaction network (PPIN) are utilized to build

166 and this, we first characterized the protein-protein interaction network of Rrp9 within the SSU-proce

167 efines the molecular composition and protein-protein interaction network of the IMAC and Usher comple

168 already characterized in A thaliana Protein-protein interaction network reconstitution then revealed

169 ng the latter observation, we used a protein-protein interaction network to identify robust synthetic

170 e most comprehensively characterized protein-protein interaction network, or interactome, of any euka

171 -induced rearrangements in the human protein-protein interaction network.

172 Based on a ranked list and protein-protein-interaction network, missense variants in NOD-li

173 similarity to known disease genes in protein-protein interaction networks and identified gene cluster

174 ticated approaches applied to global protein-protein interaction networks and pathway databases, also

175 d associations were constructed into protein-protein interaction networks and visualized onto an inte

176 tivation is the formation of dynamic protein-protein interaction networks between transcriptional act

177 knowledge about biology in the form of large protein interaction networks can yield quantitatively mo

178 turn-on" and "turn-off" functions in protein-protein interaction networks exact opposites of each oth

179 pagation of genetic evidence through gene or protein interaction networks has been shown to accuratel

180 Protein interaction networks often suggest protein funct

181 lity of ChromID to obtain a detailed view of protein interaction networks on chromatin.

182 overy and efficient validation of functional protein interaction networks on long RNAs in living cell

183 rk can be applied to high-throughput protein-protein interaction networks to gain novel insights, suc

184 Hub proteins are central nodes in protein-protein interaction networks with critical importance to

185 of-of-concept, FOREST discovers multiple RNA-protein interaction networks with quantitative scores, i

186 in-gene products significantly associated on protein interaction networks with the differences in tra

187 on in the form of kernels (e.g. from protein-protein interaction networks).

188 lated functions, coded for nonrandom protein-protein interaction networks, and coexpressed in the nor

189 tivators, two core components of oscillatory protein interaction networks, and find a striking asymme

190 provide a powerful approach for mapping GAG-protein interaction networks, revealing new potential fu

191 condition is not satisfied, especially so in protein interaction networks, the MM rate law has freque

192 es with biological networks, such as protein-protein interaction networks, to identify cancer driver

193 he retrieval of pathway diagrams and protein-protein interaction networks.

194 onnected in both gene regulatory and protein-protein interaction networks.

195 d variants in genes that interact on protein-protein interaction networks.

196 Protein-protein-interaction networks (PPINs) organize fundamenta

197 Protein-interaction networks can be viewed as interconne

198 inimal model for the evolution of functional protein-interaction networks using a sequence-based muta

199 We identify several protein interaction nodes linked to TULP3 that include e

200 ch PS ASOs interact, the influence of PS ASO protein interactions on ASO performance, and the structu

201 e generation to selectively identify protein-protein interactions on cell membranes, an approach we t

202 a case study about confirmations of protein-protein interactions over time.

203 g and mass spectrometry are used to identify protein interaction partners of CIZ1, and CIZ1 replicati

204 ast two-hybrid system was used to search for protein interaction partners.

205 -i.e., the number of weak attractive protein-protein interactions per unit of volume-determines the s

206 We report a novel photoproximity protein interaction (PhotoPPI) profiling method to map p

207 Protein interactions play a crucial role among the diffe

208 RNA-protein interactions play a pivotal role in cell homeost

209 pendent proximal labeling of a model protein-protein interaction (PPI) in vitro.

210 reat attention for their function as protein-protein interaction (PPI) inhibitors.

211 Hence, inhibiting the PEX14-PEX5 protein-protein interaction (PPI) is an attractive way to affect

212 Towards this end, we performed a protein-protein interaction (PPI) network analysis of known intr

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

214 t there is some special structure in protein-protein interaction (PPI) network data that might mean t

215 xpression with gene networks such as protein-protein interaction (PPI) network, gene co-expression (C

216 tures derived from sequence data and protein-protein interaction (PPI) network.

217 ctions with other genes in the whole protein-protein interaction (PPI) network.

218 Protein-protein interaction (PPI) networks are frequently used t

219 To characterize how protein-protein interaction (PPI) networks change, we quantified

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

221 In addition, we find altered protein-protein interaction (PPI) of mGluR5 with RGS4, norbin, P

222 g-drug interaction (DDI) prediction, protein-protein interaction (PPI) prediction; and 2 node classif

223 lecular target interactions, such as protein-protein interaction (PPI), remains to be elucidated.

224 length kinase functions by reporting protein-protein interaction (PPI)-dependent, mutation-specific,

225 owerful structural tool for defining protein-protein interactions (PPIs) and elucidating architecture

226 erfaces, can change the stability of protein-protein interactions (PPIs) and impact their functions,

227 Protein-protein interactions (PPIs) are an essential part of cor

228 Protein-protein interactions (PPIs) are fundamental in many biol

229 Protein-protein interactions (PPIs) are involved in many of life

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

231 server for structural prediction of protein-protein interactions (PPIs) between the host and a micro

232 Protein-protein interactions (PPIs) control many important physi

233 Stabilization of protein-protein interactions (PPIs) holds great potential for th

234 A comprehensive examination of protein-protein interactions (PPIs) is fundamental for the under

235 Cell-surface protein-protein interactions (PPIs) mediate cell-cell communicat

236 s is reflected in dynamic virus-host protein-protein interactions (PPIs) that are intrinsic to the sp

237 range of cellular functions through protein-protein interactions (PPIs) with client proteins.

238 ions) and two extrinsic evaluations (protein-protein interaction prediction and drug-drug interaction

239 any biological applications, such as protein-protein interaction prediction and literature-based disc

240 in LGE VZ progenitors, whereas Ascl1-Tcf3 (E-protein) interactions predominate in the subventricular

241 g website to interactively explore the lipid-protein interaction profile of all GPCRs simulated to fa

242 etical and experimental studies on the lipid-protein interaction profile of several GPCRs hint at an

243 r dynamics simulations, we explore the lipid-protein interaction profiles of 28 different GPCRs, span

244 We propose that these multifaceted protein-protein interaction properties are made possible by the

245 FPOP is utilized to study protein-protein interactions, protein-ligand interactions, and p

246 s H1 CTD condensation through direct protein-protein interaction, rather than alterations in linker D

247 Here, we introduce isobaric quantitative protein interaction reporter (iqPIR) technology which ut

248 rans switch that is likely to enable protein-protein interactions required for assembly of recombinog

249 e regulation by CHD7, we performed a protein-protein interaction screen by incubating recombinant CHD

250 mbly factor NDUFAF5 in a large-scale protein-protein interaction screen.

251 However, applying protein-protein interaction screening of NCBP1, 2 and 3, we find

252 s: protein pocket-ligand prediction, protein-protein interaction site prediction and ultrafast scanni

253 l highlight the lysine-rich regions, protein-protein interaction sites, and post-translational modifi

254 We identified important protein interaction sites, in addition to sites correspo

255 able of tracking the dynamic subcellular and protein interaction "social network" of a redox-sensitiv

256 Protein-protein interaction specificity is often encoded at the

257 ns represent an important determinant of the protein interaction-specificity and maintain the 3D stru

258 Protein-protein interaction studies (yeast two-hybrid and bimole

259 Protein interaction studies identified the VOZ1 and VOZ2

260 Protein: protein interaction studies including yeast two-hybrid a

261 Molecular dynamics and protein-protein interaction studies showed that LDH and GAPDH ca

262 r level of sequence variability in the Spike protein interaction surface, which greatly influences Sp

263 ere is little molecular insight into protein-protein interactions that drive the assembly process.

264 e provide detailed insights into the protein-protein interactions that occur between domains in the B

265 Molecular glue compounds induce protein-protein interactions that, in the context of a ubiquitin

266 (35d) that disrupts the RAD51-BRCA2 protein-protein interaction, thus mimicking the effect of BRCA2

267 n technique previously used to study protein-protein interactions to allow for robust measurement of

268 lutionary change involved changes in protein-protein interactions to favor Cas2 binding over tetramer

269 on and the contributions of individual vIL-6-protein interactions to HHV-8 lytic biology.

270 r to blend both strategies, using nucleotide-protein interactions to organize their genomes into pref

271 that Xist may coopt transposable element RNA-protein interactions to repurpose powerful antiviral chr

272 ating transcriptome and miRome using protein-protein interactions, transcription factor regulation an

273 We incorporate SARS-CoV-2 virus-host protein-protein interactions, transcriptomics, and proteomics in

274 Ms act very locally on the protein, specific protein interactions typically affect larger (sub-)domai

275 challenge for in vivo detection, the protein-protein interactions underlying these disease-specific b

276 Dynamic RNA-protein interactions underpin numerous molecular control

277 these overlays was observed for the protein-protein interaction uPA.uPAR.

278 possible large-scale prediction and curation protein interactions using the conservation of motifs, i

279 In support of a protein-protein interaction, we found that FMRP associated with

280 Drug-protein interactions were determined using molecular doc

281 Importantly, altered RNA-protein interactions were observed upon splicing among t

282 d for studying protein structure and protein-protein interactions when coupled with mass spectrometry

283 We find that vHMM-HA suppresses CD44 protein-protein interactions, whereas HMM-HA promotes them.

284 e loading enhanced BSA adsorption by protein-protein interaction, which less ordered structures chang

285 all molecules targeting the SARS-CoV-2 Spike protein interaction with ACE2.

286 tein receptor binding domain and block spike protein interaction with the angiotensin converting enzy

287 motif that mediates a wide array of protein-protein interactions with DNA-metabolizing proteins.

288 A complex of protein interactions with enhancer RNAs emphasize the ro

289 Analysis of protein-protein interactions with other members indicated that t

290 ) can potentially be expanded to investigate protein interactions with other mycobacterial lipids.

291 Proteins' interactions with ancient ligands may reveal h

292 The environmental pH, binding to serum proteins, interaction with biomembranes, differences in

293 Some of them are also involved in protein-protein interactions, with receptor tyrosine kinase ErbB

294 ries of discrete states mediated by distinct protein interactions, with their ratio modulated by subs

295 Furthermore, TFAM-TFB2M protein interaction within the human mitochondrial core

296 Hence, targeting key protein-protein interactions within receptor complexes provides

297 e HIV-1 MA C terminus help stabilize protein-protein interactions within the HIV-1 MA lattice at the

298 The accuracy and dynamics of RNA-protein interactions within these molecular machines are

299 utations are able to impair Na(V) -accessory protein interactions without altering other properties o

300 Our method, PIZSA (Protein Interaction Z-Score Assessment), is a binary cla