ライフサイエンスコーパス: protein interaction

1 unctional system for monitoring this protein-protein interaction.

2 hexapeptides for inhibitors of this protein-protein interaction.

3 mport that depends on the PEX14-PEX5 protein-protein interaction.

4 -related proteins by mimicking a native host protein interaction.

5 nstituents for controlling and enhancing DNA-protein interaction.

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

7 lates the activity of p53 through the lncRNA-protein interaction.

8 beta, and mTOR as a prerequisite for protein-protein interaction.

9 he WDR5-mixed lineage leukemia (MLL) protein-protein interaction.

10 nging biomolecular targets including protein-protein interactions.

11 lpha helix to the distal loop where it forms protein interactions.

12 oth missense variants led to altered protein-protein interactions.

13 ays, which are often hijacked by viruses via protein interactions.

14 wing that it is highly accessible to protein-protein interactions.

15 t bilayer-mediated but rather involve direct protein interactions.

16 itous structural motifs that mediate protein-protein interactions.

17 s rationally designed for optimizing protein-protein interactions.

18 role that lipids play in modulating protein-protein interactions.

19 mplates for developing inhibitors of protein-protein interactions.

20 tive behavior of pigment-pigment and pigment-protein interactions.

21 wed that 2PPM is capable of detecting GPCR-G protein interactions.

22 y used to measure spatially proximal protein-protein interactions.

23 sight into DNA-DNA, protein-DNA, and protein-protein interactions.

24 tate of the lipid bilayer and specific lipid-protein interactions.

25 as therapeutics to modulate complex protein:protein interactions.

26 between proteins and thus, influence protein-protein interactions.

27 t of loss of VF formation or important virus protein interactions.

28 tion to be expanded to monitoring endogenous protein interactions.

29 aining a BTB/POZ motif necessary for protein-protein interactions.

30 permeable, and capable of modulating protein-protein interactions.

31 s an important regulator of dynamic membrane-protein interactions.

32 siological complexes by specializing protein-protein interactions.

33 rol glucuronidation activity through protein-protein interactions.

34 a partial unfolding event and promoting new protein interactions.

35 promoter gene sequences before transcript or protein interactions.

36 c mechanisms as a general feature of protein-protein interactions.

37 ocesses by phosphorylation-dependent protein-protein interactions.

38 uctuations, catalysis, and transient protein-protein interactions.

39 ular distribution of PS ASOs are mediated by protein interactions.

40 al approaches are available to study protein-protein interactions.

41 to decipher the transcriptional and protein-protein interaction activities of effector targets.

42 Our study shows that intrafamily protein interactions affect DNA binding specificity of f

43 dentified three conserved motifs of RNA-coat protein interactions among 15 of these stem-loops with d

44 In this work, we first investigated protein-protein interactions among the apocytochrome c, CcmG, an

45 rget protein activity, localization, protein-protein interactions, among other functions, dramaticall

46 are thought to form through multiple protein-protein interactions analogous to a liquid-liquid phase

47 n combined with in vitro and in vivo protein-protein interaction analyses identified the AVR-Pia inte

48 erential expression, enrichment, and protein-protein interaction analysis of the proteomic data revea

49 elation between the top loci through protein-protein interaction and changes in the gene expression a

50 with six different scores including protein-protein interaction and context based association scores

51 Protein-protein interaction and functional analyses of XND1 dele

52 e results recapitulated known small molecule:protein interactions and also revealed that ethacrynic a

53 e both a direct stabilizing effect of ligand-protein interactions and an indirect destabilizing effec

54 racted from multiple sources such as protein-protein interactions and curated biological pathways.

55 egrated target gene associations and protein-protein interactions and designed our model to provide i

56 date the intimate relationship between water-protein interactions and dynamics on the ultrafast time

57 article, applications of FRET microscopy to protein interactions and modifications are discussed, an

58 a widely applicable tool to detect transient protein interactions and other biomolecular interactions

59 e for many cellular functions during protein-protein interactions and recognition processes.

60 ortant consequences for the study of protein-protein interactions and the assembly of both proteinace

61 ut the role of leucine 138 in supporting key protein interactions and the catalytic function of the V

62 Protein domains mediate drug-protein interactions and this principle can guide the de

63 igh-resolution modeling of many more peptide-protein interactions and to the detailed study of peptid

64 Through its many protein interactions and various post-translational modi

65 , e.g., RNA stabilization, localization, and protein interaction, and their conservation across speci

66 , the BioGRID contains 1 072 173 genetic and protein interactions, and 38 559 post-translational modi

67 relaxing RNA secondary structures and/or RNA-protein interactions, and can be used as an effective to

68 ssing available experimental data on protein-protein interactions, and importing known pathways and p

69 hance protein stability, investigate protein-protein interactions, and improve the pharmacological pr

70 derivatives to study lipid metabolism, lipid-protein interactions, and intracellular lipid localizati

71 ng trafficking to the cell membrane, protein-protein interactions, and post-translational modificatio

72 ays in promoting signal amplification, novel protein interactions, and protein turnover has progresse

73 tudies of translational gene regulation, RNA-protein interactions, and RNA virus assembly.

74 ng domains are typically involved in protein-protein interactions, and we therefore sought to determi

75 sing time-lapse embryonic imaging, genetics, protein-interaction, and functional studies, we uncover

76 Regulated protein-protein interactions are critical for cell signaling, di

77 RNA-protein interactions are essential for proper gene expre

78 Protein-protein interactions are essential for the control of ce

79 mined structures, or complex RNA-RNA and RNA-protein interactions are present in an RNA folding probl

80 dense BCR clusters likely formed via protein-protein interactions are present on the surface of resti

81 However, they, as all other protein-protein interactions, are difficult to target by small m

82 Using recombinant proteins and a sensitive protein interaction assay, we establish the binding inte

83 gulation of ERN1 via transactivation and DNA-protein interaction assays.

84 ein interactions at the cognate site, (ii) G-protein interactions at distinct allosteric and cognate

85 ied by studying urinary proteins and protein-protein interactions at each stage of diabetic nephropat

86 ey element in the complex network of protein-protein interactions at microtubule (MT) growing ends, w

87 genetic analyses suggests that distinct DNA-protein interactions at subgroups of replication initiat

88 rallel mechanisms involving (i) sequential G-protein interactions at the cognate site, (ii) G-protein

89 protocol correctly identifies 81% of protein-protein interactions at the expense of only 19% false po

90 ombining features of the DNA, protein or DNA-protein interactions at the interface.

91 d net charge, and in DNA binding and protein-protein interactions because key residues are truncated.

92 localization of two molecules as a proxy for protein interaction being a ubiquitous example.

93 The protein-protein interaction between the human CMG2 receptor and

94 de, supporting the importance of the protein-protein interaction between topoisomerase I and RNA poly

95 ular interaction was depleted due to protein-protein interaction between viral particles and MTs.

96 molecules capable of inhibiting the protein-protein interactions between activated Galpha subunits a

97 ics ("magic bullets") to disrupt the protein-protein interactions between anti- and proapoptotic Bcl-

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

99 However, the precise protein interactions between the different editing facto

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

101 The method presented here, which we term protein interaction by SAMDI (PI-SAMDI), has the advanta

102 drial phosphoproteomics, analyses of protein-protein interactions by affinity enrichment-mass spectro

103 e been widely applied for monitoring protein-protein interactions by expressing GFPs as two or more c

104 nts another example of regulation of protein-protein interactions by intramolecular mimicry.

105 rthermore, we investigate the disruptions in protein interactions by mapping mutations onto the domai

106 Inhibition of protein-protein interactions by small molecules offers tremendou

107 us on cellular components of viral integrase protein interactions can be used to combat the problems

108 issue- and stimulus-specific RNA-RNA and RNA-protein interactions can modulate the functions of a giv

109 te genomic sequence conservation, changes in protein interactions can occur relatively rapidly and ma

110 , we present evidence that individual GPCR-G-protein interactions can reinforce each other to enhance

111 ellular adaptor molecule with a high protein-protein interaction capacity.

112 ranscription, chromatin recruitment, protein-protein interactions, cell invasion and proliferation, a

113 How RNA-protein interactions change over time and space to suppo

114 To map Coy1 protein interactions, co-immunoprecipitation experiments

115 ed tool to map transient and dynamic protein-protein interaction complexes in living cells.

116 Peptide-protein interactions contribute a significant fraction o

117 Metallodrug-protein interactions contribute to their therapeutic eff

118 binding partners have shed light on protein-protein interactions critical to Nef function.

119 and YscI families suggests that the protein-protein interactions discussed in this study are also re

120 This study identifies a host-parasite protein interaction during the hepatic stage of infectio

121 heir role for the diversification of protein-protein interactions during evolution.

122 tors that likely reflect the dynamics of RNA-protein interactions during MZT.

123 in response to CO2 A cohort of RelB protein-protein interactions (e.g. with Raf-1 and IkappaBalpha)

124 a very low concentration to isolate protein-protein interaction effects.

125 developed a new method to discover and model protein interactions employing an exhaustive all-to-all

126 igh-throughput methods for screening protein-protein interactions enable the rapid characterization o

127 ty, and by improving excited-state trapping, protein interactions enhance the molecular fluorescence.

128 the recently uncovered importance of protein-protein interactions, especially between the peptide sub

129 hanges, lipid membrane fabrication, membrane-protein interactions, exosome and virus detection and an

130 th prior biological knowledge (i.e., protein-protein interactions) for biological network inference.

131 -standing model is that targeting occurs via protein interactions; for instance, between repressors a

132 a onto a biological networks such as protein-protein interaction, gene-gene interaction or any other

133 The DNA-protein interaction geometry is such that the efficient

134 inal non-repetitive region, and this protein-protein interaction has been proposed to promote S. gord

135 mic, and unstructured nature of this protein-protein interaction has limited structural mapping of ki

136 Phosphorylation is a major regulator of protein interactions; however, the mechanisms by which r

137 ifs, specific residues, and functional viral protein interactions important for VLP formation, we imp

138 ical approaches use light to control protein-protein interaction in live cells and multicellular orga

139 ative library-on-library characterization of protein interactions in a modifiable extracellular envir

140 can also alter RNA structures to affect RNA-protein interactions in cells.

141 ablished for detecting ligand induced GPCR-G protein interactions in cells.

142 oof-of-concept we investigated proteome-wide protein interactions in E. coli and HeLa cell lysates, r

143 promise to identify other transient protein-protein interactions in membrane protein complexes.

144 Here we characterise Myst2/Kat7/Hbo1 protein interactions in mouse embryonic stem cells by af

145 resent study, we determined the role of KCC2-protein interactions in regulating total and surface mem

146 a sequence-based web tool for prediction of protein interactions in the human transcriptional regula

147 thod is broadly applicable to study membrane protein interactions in the intact plasma membrane, whil

148 rence optical system can be used for protein-protein interactions in the micromolar KD value range.

149 blem with this view is that looser substrate-protein interactions in the open state may not be compat

150 current data suggest a biochemical basis for protein interactions in trans with a preference to the c

151 teric mechanisms, as well as disrupt protein-protein interactions in transcriptional regulatory compl

152 uable for investigating currently intangible protein interactions in vivo for better understanding of

153 For the study of dynamic regulation of protein interactions in vivo, there is a need for techni

154 sign of small molecules that disrupt protein-protein interactions, including the interaction of RAS p

155 ional activity of beta-catenin via a protein-protein interaction, independent of SPDEF DNA binding ca

156 We previously proposed that the protein-protein interaction induces conformational rearrangement

157 studies have revealed a plethora of protein-protein interactions influencing DAT cellular localizati

158 li when placed at an appropriate site at the protein interaction interface.

159 cs to translate kinase activities or protein-protein interactions into changes in fluorescence fluctu

160 olled cell division via a network of protein-protein interactions involving DynA, DynB, FtsZ, SepF, S

161 Protein-protein interactions involving intrinsically disordered

162 nse to environmental stress and results from protein interactions involving regions of low amino acid

163 activate one or more G proteins, the GPCR-G-protein interaction is viewed as a bimolecular event inv

164 tions affect the binding affinity of protein-protein interactions is a key issue of protein engineeri

165 The identification of carbohydrate-protein interactions is central to our understanding of

166 he accuracy of the identification of protein-protein interactions is improved by considering only tho

167 d be amenable to studying many other protein-protein interactions, is relatively simple and complemen

168 ity-based proteomic methods to determine the protein interaction landscape of BIA 10-2474 in human ce

169 ecific function of these variants at the DNA-protein interaction level.

170 k regulation at both the transcriptional and protein-interaction levels.

171 Broad-scale protein-protein interaction mapping is a major challenge given t

172 nt produce loose clusters, while cytoplasmic protein interactions mediate a tightly packed state.

173 affected primarily because of robust protein-protein interactions mediated by the N-terminal non-kina

174 and a mammalian membrane two-hybrid protein-protein interaction method, we identified eight novel in

175 ions in highly connected nodes alter protein-protein interactions modulating macromolecular complexes

176 II Phox and Bem1p (PB1) domains of NLP6&7, a protein-interaction module conserved in animals for nutr

177 y control, we provide a scored human protein-protein interaction network (InWeb_InBioMap, or InWeb_IM

178 ene ontology enrichment analysis and protein-protein interaction network analysis are used to identif

179 Proximity labeling and protein interaction network analysis reveal that CPH1 fu

180 In one, we disrupted the S. cerevisiae INO80 protein interaction network by isolating complexes after

181 r complex formation and describe the protein-protein interaction network in which VirD4 is involved.

182 tudy multicellular function in a multi-layer protein interaction network of 107 human tissues.

183 s of generated RNAP variants revealed an RNA/protein interaction network that is crucial for transcri

184 tion information in the context of the human protein interaction network to infer new phosphatase sub

185 is unbiased and scans a genome-wide protein-protein interaction network using a novel formulation fo

186 HR1, BOLA2, and GUCY1A3 are within a protein-protein interaction network with known PD genes.

187 and phenotypes in HPO based on human protein-protein interaction network, both DLP and tlDLP improved

188 associations for all the genes in a protein-protein interaction network, tlDLP benefits from the enr

189 ly derived interactome data to build a RIG-I protein interaction network.

190 ility location" (RWFL) problem in a gene (or protein) interaction network, which differs from the sta

191 rnative splicing is known to remodel protein-protein interaction networks ("interactomes"), yet large

192 tissues from TCGA, we derive sample-specific protein interaction networks and assign sample-specific

193 Genome-scale human protein-protein interaction networks are critical to understandi

194 Cellular protein interaction networks are integral to host defenc

195 ut, quantitative characterization of protein-protein interaction networks in a fully defined extracel

196 w to leverage these opportunities in protein-protein interaction networks related to several therapeu

197 ncorporate biological networks, e.g. protein-protein interaction networks that have recently been sho

198 a robust statistic (NetSig) that integrates protein interaction networks with data from 4,742 tumor

199 Protein-protein interaction networks, together with other biolog

200 teraction data for the bottom-up assembly of protein interaction networks.

201 Protein-protein interactions networks (PPINs) are known to share

202 ow the core-scaffold machinery associates in protein-interaction networks or how proteins encoded by

203 These checkpoints are governed by protein-interaction networks, composed of phase-specific

204 The function of direct protein-protein interaction of phytochromes and cryptochromes an

205 Conversely, the protein interaction of the Tg O-2 side chain with SPCA1a

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

207 applying SEC-PCP-SILAC, we analyzed protein-protein interactions of hyperactive BRAF(V)(600E) and wi

208 by mapping phosphorylation sites to protein-protein interactions of known structure and analysing th

209 es that this approach is applicable to study protein interactions of medium- and high-affinities with

210 ey role in the regulation of dynamic protein-protein interactions of the spliceosome.

211 Kinetic monitoring of protein interactions offers insights to their correspond

212 itative label-free detection of carbohydrate-protein interactions on arrays of simple synthetic glyca

213 ugh which cellular triggers, such as protein-protein interactions or post-translational modifications

214 mutagenesis, chemical modification, protein-protein interaction, or aggregation has been associated

215 finding candidate genes of diseases, protein-protein interactions, or drug target relations, and demo

216 ism of action of disrupting critical protein-protein interactions, overcomes the limitations of curre

217 GAG-protein interactions participate in neuronal development

218 llomavirus (PV) E2 protein is a DNA binding, protein interaction platform that recruits viral and hos

219 Protein-protein interactions play a vital role in cellular proce

220 RNA and protein interactions play crucial roles in multiple biol

221 lity of computational mapping of the protein-protein interaction potential for designing focused prot

222 PMI is an inhibitor of the protein-protein interaction (PPI) between the transcription fact

223 Targeting protein-protein interaction (PPI) is rapidly becoming an attract

224 s, over 90% of which form a coherent protein-protein interaction (PPI) network containing known and c

225 Recently, we reported a protein-protein interaction (PPI) network of cancer-associated g

226 ount the dependence of genes given a protein-protein interaction (PPI) network, we simulated microarr

227 highly dense subgraphs from a single protein-protein interaction (PPI) network.

228 Traditional Protein-Protein Interaction (PPI) networks, which use a node and

229 Protein-protein interactions (PPIs) can offer compelling evidenc

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

231 forts have systematically catalogued protein-protein interactions (PPIs) of a cell in a single enviro

232 repair (DDR) pathways by focusing on protein-protein interactions (PPIs) of the key DDR components.

233 Protein-protein interactions (PPIs) of these subunits play pivot

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

235 works offers opportunities to reveal protein-protein interactions (PPIs) with functional and therapeu

236 Disordered protein-protein interactions (PPIs), those involving a folded pr

237 ecies conservation, gene expression, protein-protein interactions, protein structure, etc.

238 scribe their use in the detection of protein-protein interactions, proteolytic activities, and posttr

239 s and quantitative proteomics to profile RNA-protein interactions regulated by N(6)-methyladenosine (

240 These protein interaction repositories provide meaningful stru

241 Atomic modeling of protein-protein interactions requires the selection of near-nati

242 analysis, RNA alignment, RNA annotation, RNA-protein interaction, ribosome profiling, RNA-seq analysi

243 istent with the idea of molecular mimicry in protein interactions, RidL outcompeted TBC1D5 for bindin

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

245 This raises the question of how protein-protein interaction specificity is achieved on the struc

246 importance of interface add-ons for protein-protein interaction specificity is demonstrated by an ex

247 small-molecule stabilizer of 14-3-3 protein-protein interactions, stimulates axon growth in vitro an

248 Protein-protein interaction studies further demonstrated that ye

249 Structural protein:protein interaction studies reveal that the cancer-assoc

250 Protein-protein interaction studies supported the idea that GpsB

251 ansport network in Arabidopsis using protein-protein interaction, subcellular localization, gene knoc

252 chniques for measuring high-affinity protein-protein interactions, such as biosensing or calorimetry,

253 bility, ligand binding, enzyme activity, and protein interactions, suggesting that GmSHMT08 has addit

254 urthermore, the persistence length for lipid-protein interactions suggests the curvature force field

255 pite sequence divergence, suggesting protein-protein interactions sustain conserved collective occupa

256 Lipid rafts are hypothesized to facilitate protein interaction, tension regulation, and trafficking

257 molecules aimed at targeting focal adhesion protein interactions that are essential for pathologic n

258 achieved in part through networks of protein-protein interactions that assemble functionally related

259 inding Ca(2+) initiates a cascade of protein-protein interactions that begins with the opening of the

260 ovide insight into long-lived specific water-protein interactions that escape the generic treatments

261 The protein-protein interactions that form this shell must be stable

262 veal the details of covalent and noncovalent protein interactions that link the outer membrane to the

263 broadly caution the analyses of weak protein-protein interactions that may be pivotal for function bu

264 and report for the first time on the protein-protein interactions that occur between ciliary gating c

265 ractome in the mouse brain to determine KCC2-protein interactions that regulate KCC2 function.

266 ansmembrane domains (TMDs) engage in protein-protein interactions that regulate many cellular process

267 D(+) Thus, NAD(+) directly regulates protein-protein interactions, the modulation of which may protec

268 7 and pUL51 form a stable and direct protein-protein interaction, their expression levels rely on the

269 M2 result in a higher probability of protein-protein interactions through altered electrostatic surfa

270 of these small molecules inhibit the protein-protein interactions through covalent modification of cy

271 participates in an unknown number of protein-protein interactions throughout life.

272 it disrupts repressor complexes via protein-protein interaction to enable viral gene transcription.

273 at can faithfully capture different types of protein interactions to allow their study.

274 ion factors use both protein-DNA and protein-protein interactions to assemble appropriate complexes t

275 Here we use protein-protein interactions to drive controlled aggregation of

276 otential for thioamides to modulate specific protein interactions to increase proteolytic stability o

277 ggesting that ligand-induced variations in G-protein interaction underpin partial agonism.

278 facile strategy for promoting or disrupting protein interactions using solvent-accessible residues,

279 by studying alpha1B-adrenergic receptor-Rab protein interactions, using Forster resonance energy tra

280 ct of 1181 microRNAs-mRNAs pairs and protein-protein interactions was realized by applying with cytos

281 and verified by staining for direct protein-protein interaction, we find that SPARC binds to actin.

282 al model for membrane mechanics and membrane protein interaction, we have systematically investigated

283 forces that are readily perturbed by protein-protein interactions, we anticipate that this fundamenta

284 To explore the importance of receptor-protein interactions, we conducted yeast two-hybrid scre

285 To investigate such protein interactions, we establish a ribosome affinity p

286 stigating the biological importance of these protein interactions, we identified Srp1, Kap95, and Sxm

287 mer to ARL2 in the trimer suggested that its protein interactions were comparable to those of a canon

288 As a proof of concept, 61,913 protein-protein interactions were confidently predicted and mode

289 nt differences for rs13082711 in DNA-nuclear protein interactions, where the risk allele is associate

290 atic specificity with the network of protein-protein interactions, which positions the enzymes in clo

291 hrotron radiation SAXS measurements to probe protein interactions while minimizing radiation damage.

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

293 IL-18 that is involved in extensive protein-protein interactions with both IL-18BP and its cognate r

294 d transcriptional activity despite unaltered protein interactions with co-activators and -repressors.

295 ion assay to characterize the truncated NEMO protein interactions with IKK-alpha, IKK-beta, TNF recep

296 RNA-protein interactions with physiological outcomes usually

297 h the endogenous topoisomerase I for protein-protein interactions with RNA polymerase.

298 PEG conjugation reduces protein interactions with the oligonucleotide, and helps

299 phospholipase activity is induced by protein-protein interactions with ubiquitin in the cytosol of a

300 is virion morphogenesis, an improper protein-protein interaction within an early assembly intermediat