ライフサイエンスコーパス: Gibbs

1 Gibbs free energies of reaction depended on the net char

2 Gibbs free energies of reactions with various free radic

3 Gibbs free energy (DeltaG > 0), enthalpy (DeltaH > 0), a

4 Gibbs free energy changes of reaction were calculated to

5 Gibbs free energy contribution values were estimated for

6 From the B3LYP/6-31++G(3df,3pd) Gibbs free energy, the keto-enol tautomeric equilibrium

7 A Gibbs sampling algorithm then locates putative cis-actin

8 A Gibbs sampling method was then developed to estimate the

9 nction of the remaining pump activity, and a Gibbs-Donnan-like equilibrium state is reached.

10 In this paper, we develop a Gibbs-sampling-induced stochastic search procedure to ra

11 We developed a Gibbs sampling Markov chain Monte Carlo algorithm that p

12 Here we have developed a Gibbs sampling technique to identify genes whose express

13 We have developed a Gibbs sampling-based algorithm for the genomic mapping o

14 coefficients are dealt with by developing a Gibbs sampling algorithm to stochastically search throug

15 theory analysis of the adiabatic ET gives a Gibbs energy of activation that is equal to k B T at app

16 We describe here a Gibbs sampler that employs a full phylogenetic model and

17 Here, a Gibbs-energy-based methodology is proposed for mathemati

18 biclustering model (BBC), and implemented a Gibbs sampling procedure for its statistical inference.

19 sitions, and incorporate these priors into a Gibbs sampling algorithm for motif discovery.

20 its chemical output ensemble from that of a Gibbs equilibrium.

21 MS then performs bicluster mining based on a Gibbs sampling paradigm.

22 We also present a Gibbs sampler for estimating the parameters of evolution

23 s using HPLC and NMR spectroscopy revealed a Gibbs activation energy of 122.4 (121.8) kJ/mol and 115.

24 nt of 3(1) x 10(7) M(-1), corresponding to a Gibbs free energy of adsorption of -52.6(8) kJ/mol, and

25 We use a Gibbs sampler to perform inference on the resulting mode

26 deriving error bars for breakpoints using a Gibbs sampling approach.

27 s strongly attracted to the interface with a Gibbs free energy of adsorption of -6.8 kcal/mol.

28 me was found to unfold cooperatively, with a Gibbs free energy of stabilization (DeltaG(0)) of 32 +/-

29 The calculated activation Gibbs energy of this interconversion was quite small (10

30 This model connects the activation Gibbs free energy of point defects formation and migrati

31 e nonlinear thermorheologically complex Adam Gibbs (extended "Scherer-Hodge") model for the glass tra

32 In the context of the Adam-Gibbs and random first-order transition models of glass

33 cooperative strings, and we recover the Adam-Gibbs description of glassy dynamics.

34 ility, we show that the validity of the Adam-Gibbs relation (relating configurational entropy to stru

35 ed from S (Q) by using an analog of the Adam-Gibbs relation.

36 acterize phenolic OMT activities, we adapted Gibbs' reagent, the dye originally used for detecting ph

37 uctures and association constants (K(a)) and Gibbs free energies of transfer for GLY-humic complex fo

38 trifugation, which only provide affinity and Gibbs-free energy (i.e., K(D) and DeltaG), are employed.

39 ope 0.8, between the activation barriers and Gibbs free energies for these TIM-catalyzed reactions.

40 Association constant and Gibbs free energy for the interaction of anti-OTA/Protei

41 Association constant and Gibbs free energy for the interaction of Glass/ZnO-NRs/P

42 their more favorable binding enthalpies and Gibbs energies.

43 Enthalpies and Gibbs free energies of reaction obtained from Born-Fajan

44 rees ) showed negative entropy, enthalpy and Gibbs free energy change at 25 degrees C.

45 Calculated enthalpy and Gibbs free energy of formation at 298 K for NO3- and ReO

46 between ionic potential and the enthalpy and Gibbs free energy of formation for previously measured o

47 well as the changes of entropy, enthalpy and Gibbs free energy.

48 whereas the ab initio heats, entropies, and Gibbs free energies of adsorption are used to assess the

49 es such as the Washburn-Laplace equation and Gibbs-Thomson equation to describe the thermodynamics of

50 We find the unfolding kinetics and Gibbs free energies obtained from all three methods to b

51 activation ranging from 79 to 112 kJ/mol and Gibbs free energies of reaction ranging from -11 to -55

52 activation ranging from 62 to 73 kJ/mol, and Gibbs free energies of reaction ranging from -23 to -38

53 ip models of protein isotherm parameters and Gibbs free energy changes in ion-exchange systems were g

54 escence unfolding curves of [D]50 values and Gibbs free energy correlate well with each other and mor

55 or Bayesian inference using Forward-Backward Gibbs sampling.

56 ine factor binding sites by using a Bayesian Gibbs sampling algorithm and an extensive protein locali

57 Because Gibbs' reagent reacting with different regioselectively

58 onducting multiple linear regression between Gibbs free energy of sorption and Abraham descriptors fo

59 The difference between the binding Gibbs free energy changes of the two affinities (Delta G

60 It uses a blocked Gibbs sampling algorithm, which has a theoretical advant

61 sued in statistical physics since Boltzmann, Gibbs, and Maxwell.

62 is paper we start by reviewing how Boltzmann-Gibbs-Shannon entropy is related to multiplicities of in

63 locally correlated, we expect the Boltzmann-Gibbs entropy S(BG) identical with -k Sigma(i) p(i) ln p

64 (which, for q --> 1, recovers the Boltzmann-Gibbs entropy).

65 takes a more general form than the Boltzmann-Gibbs entropy.

66 Maximizing the Boltzmann-Gibbs-Shannon entropy subject to this energy-like constr

67 ual steps in the model were characterized by Gibbs free energies for the equilibria and activation en

68 ontrol and that their shape is determined by Gibbs free energy minimization.

69 er by thermal fluctuations, as postulated by Gibbs, or by 1D nucleation of new crystalline rows.

70 We also calculated Gibbs free energy as in the order of -30 kJ/mol and DHFR

71 The calculated Gibbs energy barriers support the reinsertion route prop

72 n states, but on the basis of the calculated Gibbs free energy a +II/+IV mechanism can be excluded.

73 of the model using Markov Chain Monte Carlo, Gibbs sampling in particular, to simulate parameters fro

74 The cavitation Gibbs free-energy change (DeltaDeltaGcav = 4.78 kcal mol

75 We use a collapsed Gibbs sampling algorithm for inference.

76 20 degrees C reveal that, despite comparable Gibbs free energies, association with the major groove i

77 r predicting signal intensities by comparing Gibbs free energy (DeltaG degrees) calculations to exper

78 Complete Gibbs energy profiles for the solvolysis reactions of be

79 The computed Gibbs free energy profiles for E- and Z-isomers when (1)

80 predicted stereoselectivities using computed Gibbs free energies of diastereomeric transition states

81 en the phospholipid forms a liquid-condensed Gibbs monolayer, which is the case for dipalmitoylphosph

82 ed with five alternative methods (CONSENSUS, Gibbs sampler, MEME, SPLASH and DIALIGN-TX).

83 e Carlo sampling and, in particular, discuss Gibbs sampling and Metropolis random walk algorithms wit

84 otif of interest, masking DNA repeats during Gibbs sampling becomes unnecessary.

85 w that it is less than the ideal work (i.e., Gibbs free energy of mixing) due to inefficiencies intri

86 We provide an efficient Gibbs sampler for posterior computation along with simpl

87 Electronic coupling matrix elements, Gibbs free energy, and reorganization energy were calcul

88 c function in terms of dissolution enthalpy, Gibbs energy and dissolution entropy showed endothermic,

89 otic equilibrium simultaneously to establish Gibbs-Donnan equilibrium in a polyelectrolyte-directed m

90 We implement our approach using existing Gibbs samplers redesigned for parallel hardware.

91 Experimental Gibbs free activation energy, activation enthalpy, and a

92 (2+), Br(-)](+*) was due to a less favorable Gibbs free energy change for electron transfer that resu

93 c analysis indicates that the less favorable Gibbs free energy of binding reflects a substantial enth

94 s in approximately 1 kcal/mol less favorable Gibbs free energy of duplex formation at 37 degrees C.

95 ligands generally bound with more favorable Gibbs energies than their flexible controls, but this in

96 hibited domain organization due to favorable Gibbs free energy of phospholipid mixing.

97 NO3(-), SO4(2-), Na(+), and NH4(+) and find Gibbs free energies of water displacement of -10.9, -22.

98 a and the Ramachandran Psi angle (un)folding Gibbs free energy landscape coordinate of a mainly polya

99 New features are derived from Gibbs energies of amino acid-DNA interactions and hydrox

100 enate into monodentate surface complexes had Gibbs free energies of activation ranging from 62 to 73

101 plexes to bidentate, binuclear complexes had Gibbs free energies of activation ranging from 79 to 112

102 and desorption can be attributed to the high Gibbs free energies of activation for forming and breaki

103 The highest Gibbs free energies of reaction for physical adsorption

104 ch-containing duplexes have almost identical Gibbs free energy at 37 degrees C, with values approxima

105 es is directly proportional to the change in Gibbs energy due to a reaction (DeltarG').

106 The change in Gibbs free energy was also found to be positive for RCM

107 stabilized and favored by a large change in Gibbs free energy, DeltaG degrees (-50 kJ/mol).

108 The dependence of the change in Gibbs free energy, DeltaGobs, for the diffusion of AQ th

109 he underlying cause was a positive change in Gibbs free energy.

110 is used to estimate the relative changes in Gibbs binding free energies.

111 thermodynamic binding parameters [changes in Gibbs free energy (DeltaG), enthalpy (DeltaH) and entrop

112 o titrate PDZ3, which yielded the changes in Gibbs free energy (DeltaG), enthalpy (DeltaH), and entro

113 he second complete accounting of the cost in Gibbs free energy of protein transport to be undertaken.

114 attributed to a markedly small difference in Gibbs free energy compared to the known similar class of

115 e; (2) electric-field induced differences in Gibbs free energy of exfoliation; (3) dispersion of MoS2

116 x as represented by a 4 kcal/mol increase in Gibbs free energy for duplex formation at 25 degrees C.

117 ) and vWbp(1-474), with a 30-45% increase in Gibbs free energy, implicating a regulatory role for fra

118 with N(4)-CMdC in a 12-mer duplex increased Gibbs free energy for duplex formation at 25 degrees C b

119 lows the estimate of lipid-lipid interaction Gibbs energies between SM/Chol, SM/POPC, and Chol/POPC.

120 olysis reaction for dynamic reasons, and its Gibbs free energy of activation is 19.3 kcal/mol and rem

121 es, but is effectively arrested by the large Gibbs energy barrier associated with nucleation.

122 ible atropisomerization pathways, the lowest Gibbs free activation energy 25.8 kcal/mol was in close

123 aled-particle theory gives the partial molar Gibbs energy of dissolution, Deltag2, allowing calculati

124 d for only 6-18% of the total standard molar Gibbs energy change in the salt concentration range 10-5

125 The PMLs are estimated with a multivariate Gibbs sampler; the liability-scale phenotypic covariance

126 to estimate thermodynamic quantities, namely Gibbs free energy, enthalpy, entropy, and heat capacity,

127 H-S4 was confirmed by both the high negative Gibbs free energy gain, DeltaG = -115.95 kJ/mol, calcula

128 A nested Gibbs-Helmholtz model is used in a novel combined analys

129 The obtained Gibbs free energies of activation are in the range 7-22

130 ng the last two years, including addition of Gibbs free energy values for compounds and reactions; re

131 ments would benefit from the availability of Gibbs free energy data of chlordecone and its potential

132 27-Mg (Mg-MOF-74), ab initio calculations of Gibbs free energies of adsorption have been performed.

133 C) between predicted and measured changes of Gibbs free-energy gap, DeltaDeltaG, upon mutation reache

134 ntal framework, we employed a combination of Gibbs sampling and linear regression to build a classifi

135 numbers and the convergence efficiencies of Gibbs sampling were calculated and discussed for achievi

136 thickness follows the linear scaling law of Gibbs-Thomson effect.

137 portant factors governing the performance of Gibbs sampling and reversible jump for mapping multiple

138 Literature values of Gibbs energies of transfer of ions from water to other s

139 crobial biomass (theoretical yield) based on Gibbs free energy and microbially available electrons.

140 on an ergodic Markov chain generated by our Gibbs sampler.

141 plant type I OMTs, we demonstrated that our Gibbs' reagent-mediated colorimetric assay could reliabl

142 S(double dagger)), with intrinsic oxydianion Gibbs binding free energies that range from -8.4 kcal/mo

143 The modeled partial Gibbs free energy of calcium in Ca-Ag, Ca-In, Ca-Pb, Ca-

144 The partial Gibbs free energy of Ca in six Ca-Pb-Sb alloys was deter

145 The partial Gibbs free energy of calcium in Ca-Bi liquid alloys at 6

146 Secondary structure and predicted Gibbs free energy values of the psbA 5' untranslated reg

147 y band offset of the nanoparticles (reaction Gibbs energy).

148 certainty in estimation of standard reaction Gibbs energy.

149 The reaction Gibbs free energies indicate that all reactions are virt

150 ting, in vivo, standard transformed reaction Gibbs energy as a function of compartment-specific pH, e

151 Relative Gibbs free energies (133 K) calculated using B3LYP and M

152 n the conformational equilibria and relative Gibbs free energy landscapes along the Ramachandran Psi-

153 y in SrCoO(3-delta) is attributed to a small Gibbs free-energy difference between two topotatic phase

154 aerobic processes are characterised by small Gibbs energy changes in the reactions catalysed, and thi

155 bond length alternation, as well as smaller Gibbs energies of the opening reaction.

156 Peptides with smaller Gibbs energies of insertion into the membrane translocat

157 sterior distributions are in closed form, so Gibbs sampling is straightforward.

158 mine the partition coefficients and standard Gibbs adsorption energy per CH(2) group for adsorption o

159 tical micellar concentration (CMC), standard Gibbs free energy of micellization (DeltaG(0)mic.) etc.

160 to the state-of-the-art, including standard Gibbs sampling.

161 The assay allows the standard Gibbs free energy (DeltaG degrees ), enthalpy (DeltaH de

162 thods were utilized to estimate the standard Gibbs free energy change of every reaction in the constr

163 is is introduced for estimating the standard Gibbs free energy of formation (Delta(f)G'(o)) and react

164 ption factor binding sites than the standard Gibbs sampling algorithms.

165 involve bubble profile analysis tensiometry (Gibbs films), Langmuir monolayers and microbubble experi

166 e Carlo algorithm should be more robust than Gibbs sampling approaches to multimodality problems.

167 We demonstrated that Gibbs' reagent reacted with phenolics yielding distinct

168 The Gibbs activation energies of the rate-determining steps

169 The Gibbs activation energy for the first stage was 18.7 kca

170 The Gibbs adsorption equation and related formulations (e.g.

171 The Gibbs Centroid Sampler is a software package designed fo

172 The Gibbs Centroid Sampler reports a centroid alignment, i.e

173 The Gibbs Centroid Sampler, along with interactive tutorials

174 The Gibbs energies of peptide binding to membranes determine

175 The Gibbs energy for insertion into the bilayer core was cal

176 The Gibbs free activation energy DeltaG() was obtained exper

177 The Gibbs free energies of oxygen transfer from these hetero

178 The Gibbs free energies of the transition states with the na

179 The Gibbs free energy change for reactions of inactivation o

180 The Gibbs free energy difference between native and unfolded

181 The Gibbs free energy for this process, DeltaG(o), obtained

182 The Gibbs free energy of formation of zinc peroxide was foun

183 The Gibbs free energy of mixing dissipated when fresh river

184 The Gibbs phase rule restricts equilibrium coexistence of th

185 The Gibbs sampler MATLAB package is freely available at http

186 The Gibbs sampling procedure we use simultaneously maps ambi

187 ation, when the ion is held at and above the Gibbs dividing surface, highlight a basic deficiency in

188 eratures, the enthalpy, the entropy, and the Gibbs energy of these reactions, as well as the enhancem

189 the gas-phase NHC-CO2 bond distance and the Gibbs free energy barrier for decarboxylation is demonst

190 s reduces to standard thermodynamics and the Gibbs-Duhem relation, and we show that the First and Sec

191 th the Onsager reciprocity principle and the Gibbs-Duhem thermodynamic constraint.

192 t exchange, local thermal gradients, and the Gibbs-Thomson effect on the melting points of the convex

193 raditionally been calculated by applying the Gibbs equation to the steep linear decline in surface te

194 s or waters in the DNA phase by applying the Gibbs-Duhem equation.

195 Peptide-induced efflux becomes faster as the Gibbs energies for binding and insertion of the tp10 var

196 ential probability distribution known as the Gibbs measure.

197 Historically this is known as the Gibbs phase rule, and is one of the oldest and venerable

198 of published molecular areas obtained by the Gibbs approach should be reconsidered.

199 t peptide translocation is determined by the Gibbs energy of insertion into the bilayer from the memb

200 We show that the areas derived by the Gibbs equation (typically 50-60 A(2)/molecule) are much

201 e particle size and is well described by the Gibbs-Thomson equation, T(m)(R) = T(m)(bulk) - K(GT)/(R

202 itical nucleus size is well described by the Gibbs-Thomson relation, from which we extract a liquid-c

203 y more stable than DBD1: at 20 degrees C the Gibbs energy of unfolding of DBD3 is -28.6 kJ/mol, which

204 t-guest mutational strategy to calculate the Gibbs free energy changes of water-to-lipid transfer for

205 hain Monte Carlo algorithm that combines the Gibbs sampling algorithm of HapSeq and Metropolis-Hastin

206 and porous carbon electrodes to convert the Gibbs free energy of mixing sea and river water into ele

207 omposed of two coupled leaves and derive the Gibbs Phase Rule for such a system.

208 We determined the Gibbs activation energy barrier DeltaG (double dagger)r

209 5 A of the phosphorylation site--encode the Gibbs free energy of inhibition (DeltaG(inhibition)) for

210 g thermodynamic integration, we estimate the Gibbs free energy of mixing, thereby determining the tem

211 Finally, we evaluate the Gibbs free energy of transfer of individual lipid compon

212 0 enabled calculation of the limits for the Gibbs activation energies for the conversions of compoun

213 the hypernetted chain approximation for the Gibbs free energy, and we find results that are consiste

214 inimum, which completely disappears from the Gibbs free energy surface.

215 Furthermore, the Gibbs free energies of binding and insertion of the pept

216 everse electrodialysis (RED) can harness the Gibbs free energy of mixing when fresh river water flows

217 the Cys56-thiol result in an increase in the Gibbs energy barrier of the first thiol-disulfide exchan

218 The remaining deviations in the Gibbs free energy (about 1 kJ/mol) are significantly sma

219 hybrid material, a discrepancy occurs in the Gibbs free energy leading to a difference in oxidation p

220 r decline, proving that the interface in the Gibbs region is not saturated as generally assumed.

221 is uncertain but is proposed to involve the Gibbs-Thomson effect.

222 that these clamping side chains minimize the Gibbs free energy for substrate deprotonation, and that

223 s energy of binding to the membrane, not the Gibbs energy of insertion, is the primary determinant of

224 Almost half of the Gibbs energy is attributable to the electrostatic compon

225 owed that the electrostatic component of the Gibbs energy of association resulting from the entropy o

226 (CC) concept, the salt-dependent part of the Gibbs energy of binding, which is defined as the electro

227 tatic component provides the majority of the Gibbs energy of complex formation and does not depend on

228 A sequence, the salt-independent part of the Gibbs energy--usually regarded as non-electrostatic--is

229 DFT calculations of the Gibbs free energies of possible isomers were performed t

230 Analysis of the Gibbs free energies of these two reactions guides the se

231 ckground molecules, on the estimation of the Gibbs free energy change (DeltarG) of the reactions.

232 enable the experimental determination of the Gibbs free energy landscape along the Psi reaction coord

233 We analyze the definition of the Gibbs free energy of a nanoparticle in a reactive fluid

234 of total mixed solution, which is 57% of the Gibbs free energy of mixing.

235 alorimetry (DSC) enabled a dissection of the Gibbs free energy of stability into enthalpic and entrop

236 sistent with the curvature dependence of the Gibbs free energy.

237 and is the primary driving component of the Gibbs free energy.

238 semblies reside at the global minimum of the Gibbs free energy.

239 At the heart lies the exploration of the Gibbs free-energy landscapes and the extended phase diag

240 An implementation of the Gibbs sampler in Java is available at http://www.stats.o

241 SAN combines GibbsMarkov, our variant of the Gibbs Sampler, described here for the first time, with o

242 was applied to improve the efficiency of the Gibbs sampler.

243 O, but the barrier for H2S permeation on the Gibbs energy profile is negligible.

244 of the stationary phase, is dependent on the Gibbs free energy change for these molecules at infinite

245 hain Monte Carlo implementation based on the Gibbs sampler is described, and procedures for inferring

246 n the effect of the analyte content over the Gibbs free energy of dispersions, affecting the thermody

247 fact that, by varying model parameters, the Gibbs phase rule can be generalized so that four phases

248 g algorithms, including its predecessor, the Gibbs Recursive Sampler.

249 io computational method that can predict the Gibbs free energies and thus phase diagrams of molecular

250 utions of different composition releases the Gibbs free energy of mixing.

251 hich are generated through two samplers, the Gibbs sampler and the reversible-jump MCMC.

252 ethods that could perform the same task, the Gibbs sampling method developed here exceeds their abili

253 ntact angle of each bridge and show that the Gibbs criterion is satisfied at the microscale.

254 he hypotheses, the results indicate that the Gibbs energy of binding to the membrane, not the Gibbs e

255 We found that the Gibbs free energy of binding to a POPC surface at low pH

256 Thermodynamic calculations showed that the Gibbs free energy of Fe(II) oxidation (DeltaG(oxidation)

257 hermal titration calorimetry showed that the Gibbs free energy of VEGF-A, VEGF-C, or VEGF-E binding t

258 It is suggested that the Gibbs free energy released as a result of the high-affin

259 round a single scaffold it is found that the Gibbs free-energy release upon binding is greater than c

260 nes contribute close to -3.5 kcal/mol to the Gibbs energy of binding.

261 cytolytic peptides in model membranes to the Gibbs free energies of binding and insertion into the me

262 a reversible PRO process is identical to the Gibbs free energy of mixing.

263 a reversible RED process is identical to the Gibbs free energy of mixing.

264 The contribution to the Gibbs free energy of phase transfer for the passage of a

265 as well as the entropic contribution to the Gibbs free energy without major impact on the structure

266 conformation changes that contribute to the Gibbs free energy.

267 chain Monte Carlo (MCMC) algorithm using the Gibbs sampler and Metropolis-Hastings algorithm to explo

268 xt, Hierarchical Bayesian Modeling using the Gibbs Sampling algorithm was applied to identify the seg

269 l electron acceptor, oxygen, and utilize the Gibbs free energy to transport protons across a membrane

270 Also affected were the Gibbs free energy barriers for the ring-flip and the N-i

271 ff, ostensibly owing to saturation, when the Gibbs approach predicted a continued linear decline, pro

272 re smaller for rP148 than rP172, whereas the Gibbs free energy change of assembly (DeltaG(A)) was not

273 er and a monolayer of dodecanol, wherein the Gibbs free energy of adsorption was determined to be -6.

274 DeltaG() = 18.8 +/- 2.4 kcal/mol), while the Gibbs free activation energy DeltaG() for the hydrogenat

275 icelle formation does not interfere with the Gibbs region.

276 hen combine the model sampling step with the Gibbs sampling framework for de novo motif discoveries.

277 ice growth inhibition is consistent with the Gibbs-Thomson law.

278 oses that the interface is saturated in the "Gibbs region," thereby allowing a single unique area to

279 ducts and used these data to calculate their Gibbs free energy and redox potential.

280 e conditions is examined by evaluating their Gibbs free energies.

281 Then Gibbs sampling is repeated, allowing for frameshifts of

282 ivities for hydrogen evolution, according to Gibbs free energy calculations of H-adsorption on Mo2B4.

283 uch, being 1.5nM and 6.4nM, corresponding to Gibbs energies of -49kJmol(-1) and -46kJmol(-1), respect

284 6 x 10(6) M(-)(1) for DBD3, corresponding to Gibbs energies of association of -34 and -37 kJ/mol, res

285 t possible to calculate standard transformed Gibbs energies of formation of these reactants, apparent

286 Tree Gibbs Sampler is a software for identifying motifs by si

287 The Tree Gibbs Sampler software is freely downloadable at https:/

288 We used Gibbs sampling to define a CRP(Mt) DNA motif that resemb

289 These motifs are refined using Gibbs sampling in competition with a null motif.

290 Usually, Gibbs sampling requires a preliminary masking step, to a

291 lgorithm for Gaussian mixed linear model via Gibbs sampling.

292 e proceeded with no activation barrier, with Gibbs free energies of reaction ranging from -21 to -58

293 tallographic structure of PixD, coupled with Gibbs free energy calculation between interacting faces

294 sampled from the posterior distribution with Gibbs sampling.

295 er, it used Bayesian hierarchical model with Gibbs sampling to incorporate binding signals of these r

296 The relation with Gibbs ensembles is studied and understood.

297 and Markov chain Monte Carlo simulation with Gibbs sampling, calculating pooled odds ratios and assoc

298 (Trp-7) exhibit the greatest stability, with Gibbs free energies of unfolding in the absence of denat

299 Combining subsampling with Gibbs sampling is an interesting ensemble algorithm.

300 Metropolis within Gibbs sampling algorithm is used to simulate from the po