ライフサイエンスコーパス: binding curve

1 bound ligand, leading to a model-independent binding curve.

2 medium caused a rightward shift in the force-binding curve.

3 H) to measure the sigmoidal character of the binding curve.

4 and a partially hyperbolic shape for the O2 binding curve.

5 amer into dimers, leading to a sigmoidal DNA binding curve.

6 myosin-1C-EGFP as a model system and fit its binding curve.

7 tely 5 mol of spermine/mol with a hyperbolic binding curve.

8 cooperative transition observed in the Mn2+ binding curve.

9 ionic strength the data fit best to a simple binding curve.

10 d directly on arrays by obtaining saturation binding curves.

11 els to fit our real-time experimental Cu(II)-binding curves.

12 resultant images to generate individual-site binding curves.

13 of the IgA1 N-glycans yielded superimposable binding curves.

14 ffered considerably in the complexity of the binding curves.

15 els, generating association and dissociation binding curves.

16 fetal receptors with shallow but monophasic binding curves.

17 ely 7 mol of spermine exhibiting a sigmoidal binding curve and a Hill coefficient of 1.4.

18 range of initial binding ratios to yield the binding curve and equilibrium constant as in the usual g

19 s of S1 the binding complications deform the binding curve and produce nonlinear transforms ("anomalo

20 Measuring the binding curve and stoichiometry of protein complexes in

21 s from the sample mixture and determines the binding curve and stoichiometry of the protein complex.

22 binding by unregulated S1 followed a normal binding curve and was not affected by the presence of nu

23 We showed indirectly from binding curves and directly from fluorescence-detection

24 nel microfluidic devices to acquire one-shot binding curves and protein binding kinetic data.

25 Global fit analyses of experimental glucose binding curves are consistent with a kinetic model that

26 re offered by this method: (i) Hemoglobin-O2 binding curves are obtained rapidly and reproducibly; (i

27 Finally, we observed a break in the binding curve around zero bits of information.

28 d or curve fitting analysis of the titration binding curves as a reliable means to quantitate the bin

29 an atypical isothermal-titration-calorimetry-binding curve at low-salt aqueous solutions whereby the

30 The inhibition binding curves at various cell concentrations were compa

31 ther lowered because the shape of the oxygen binding curve becomes completely sigmoidal.

32 system, we successfully recorded 25 separate binding curves between glutathione S-transferase (GST) a

33 Fluorescence-monitored binding curves between gp45 and ATP-activated gp44/62 re

34 hyperbola: at high concentrations of S1 the binding curve can be transformed into a linear plot ("no

35 Its oxygen binding curve, cooperativity, response to allosteric eff

36 protein expression levels, and a fit of the binding curve determines the number of binding sites and

37 ng of myosin subfragment 1, to actin but the binding curves differed significantly between the constr

38 n EB1 and tubulin can exceed 1:1, and EB1-MT binding curves do not fit simple binding models.

39 Binding curves fit perfectly to Hill-Waud models, and th

40 re and the cooperativity that is seen in the binding curves for alamethicin are postulated to be a re

41 The binding curves for both skeletal and cardiac calsequestr

42 Assay conditions were optimized, the binding curves for C-reactive protein (CRP) in buffer an

43 Binding curves for ligand densities ranging from 0.1 to

44 , distinct affinities were not resolvable in binding curves for mixed-affinity binders (MABs), which

45 The model predicts equilibrium binding curves for myosin-S1 and TnI as a function of th

46 130C037 gave shallow binding curves for PKC isoforms alpha, beta, gamma, delt

47 Sigmoidal binding curves for titration of BioI with azole drugs su

48 through numerical simulations of the kinetic binding curves for various assay conditions.

49 droplets are shown to yield high-resolution binding curves from which precise dissociation constants

50 Further analysis of the binding curves in terms of a nonspecific binding model i

51 cence quenching assays, and the shape of the binding curve indicated a single specific urea-binding s

52 The membrane binding curve is constructed by mapping those concentrat

53 e assumed intermolecular interactions on the binding curves (isotherms).

54 For this, differences were maximized between binding curve kinetic parameters for probes binding to c

55 d forms of the mutants exhibit biphasic Ca2+ binding curves, nearly identical to that observed for wi

56 ity filter produces the shape of the calcium binding curves observed in experiment, and it predicts B

57 The antibody/antigen binding curves obtained by this approach can be used to

58 the formation of the complex by fitting the binding curves obtained experimentally to a model based

59 In addition, the binding curves obtained with 8A11-Cy5 and DCP-UO22+ spec

60 Binding curves obtained with aminobenzyl-DTPA or its com

61 Binding curves obtained with DCP-UO22+ and the bivalent

62 derivatives of Cy5 or Alexa 488 altered the binding curves obtained with DCP-UO22+ from hyperbolic t

63 Binding curves obtained with DTPA and a cyclohexyl deriv

64 Binding curves obtained with the Hg(II) and Cd(II) compl

65 Binding curves obtained with the Pb(II) and In(III) comp

66 Analyses of the binding curves obtained with this technique immediately

67 gmoidal in contrast to the hyperbolic-shaped binding curve of delta369.

68 The shape of the binding curve of full-length Tnp is sigmoidal in contras

69 The binding curve of myosin subfragment-1 (S1) to F-actin is

70 ges are counted to create digital adsorption binding curves of single 220 nm HNPs from picomolar nano

71 Oxygen binding curves of sol-gel-encapsulated deoxy human adult

72 difference in stoichiometry by measuring the binding curves of the full-length proteins in living cel

73 The shapes of competition binding curves of various interacting partners construct

74 nables the collection of a complete Langmuir binding curve on a single sensor surface.

75 P9/G10.1 site did not result in the biphasic binding curve predicted from other models involving two

76 al behavior, greatly steepening the beacon's binding curve relative to that of the parent receptor.

77 exation occurred (K(assoc) > or = 150 M(-1); binding curve saturation approximately > or =50%) betwee

78 Association binding curves showed that steady state occurred rapidly

79 d from three different models applied to the binding curves suggest that binding of a protein to a li

80 ceable, was saturable, and yielded a typical binding curve, suggesting that specific receptor-ligand

81 The sigmoidal nature of the binding curve suggests that SecA in lipids has two confo

82 regulation, we established the physiological binding curves that describe the binding of Bub3-Bub1 an

83 For each digital adsorption binding curve, the average single nanoparticle SPRM refl

84 This enabled an entire binding curve to be obtained in a single experiment.

85 , or substituting Trp(2) for Ala reduces the binding curves to a simple, monophasic rise in binding p

86 The method allowed binding curves to be acquired with excellent signal-to-n

87 Published S1 binding curves to regulated filaments with different tro

88 itro, it is practical to generate a complete binding curve using the normalized cross-correlation sig

89 The binding curve was sigmoidal exhibiting an IC(50) of appr

90 The binding curve was weakly cooperative, implying interacti

91 lized with GM 1, DNP, and biotin lipids, and binding curves was generated by recording surface fluore

92 The binding curves were almost identical for both fibrillar

93 Competitive agonist binding curves were biphasic (high-affinity IC50 = 3.9 p

94 % by excess unlabeled PCSK9, and competition binding curves were consistent with a one-site binding m

95 All binding curves were established and limits of detection

96 inding potential (BP(ND)), and 1- and 2-site binding curves were fitted to these data to measure (11)

97 The binding curves were found to fit the functional form of

98 Ca(2+) binding curves were measured using atomic absorption spe

99 Hyperbolic binding curves were obtained regardless of whether the c

100 Binding curves were quantitatively explained by a new st

101 oth models generate very similar families of binding curves when [S1]/[actin] is varied.

102 he concentration of a 23-nt target follows a binding curve with an approximate 1:1 stoichiometry and

103 pendent and saturable and can be fitted to a binding curve with an equilibrium constant K(Hal) = 2.1

104 The appendix contains an analysis of several binding curves with multiple binding site models.

105 Therefore, binding curves with nH>1 provide a direct measure of coo

106 The absorbance shift follows a simple binding curve, with an apparent dissociation constant of