ライフサイエンスコーパス: Gibbs

1 Gibbs clustering was performed to identify motifs of bin

2 Gibbs energy values calculated for the brines, based on

3 Gibbs free energies of reaction depended on the net char

4 Gibbs free energies of reactions with various free radic

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

6 Gibbs free energy (DeltaG(0) = -2.59 kJ mol(-1)), enthal

7 Gibbs free energy changes of reaction were calculated to

8 Gibbs free energy contribution values were estimated for

9 Gibbs sampling was used for Bayesian model inference, wi

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

11 A Gibbs sampling method was then developed to estimate the

12 perativity parameter sigma ~6 x 10(-5) and a Gibbs free energy of unfolding of g(nu) ~100 cal/mol per

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

14 We develop a Gibbs sampling algorithm comprising partial reversible-j

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

31 an that of dissociation since the activation Gibbs free energy (DeltaG(*)) was lower for the former (

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

33 DeltaGr0 is one part of the actual Gibbs energy of a reaction (DeltaG(r) ), with a second p

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

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

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

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

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

39 and Gibbs et al.) to shift the balance between M1 and M2 gra

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

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

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

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

44 (a), enthalpies of activation DeltaH( ), and Gibbs energies of activation DeltaG( )) were calculated

45 their more favorable binding enthalpies and Gibbs energies.

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

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

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

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

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

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

52 mic properties such as enthalpy, entropy and Gibbs free energy of dissolution were obtained using exp

53 parameters (change in enthalpy, entropy, and Gibbs free energy) revealed the nature of the main parti

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

55 ifferential mobility on the reduced mass and Gibbs free energy of the cluster formation.

56 pler, based on a novel numeration method and Gibbs sampler.

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

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

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

60 Applying Gibbs sampling, BICORN iteratively estimates model param

61 onverging in probability to their associated Gibbs distribution.

62 Available Gibbs free energy is reduced by 71 to 86% across the hab

63 or Bayesian inference using Forward-Backward Gibbs sampling.

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

65 Because Gibbs' reagent reacting with different regioselectively

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

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

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

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

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

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

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

73 he number of variables, making the Boltzmann-Gibbs-Shannon entropy extensive.

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

75 eighted- and unweighted-data models and both Gibbs- and MH-based models performed similarly.

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

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

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

79 examined the relationship between calculated Gibbs free energies of the cluster formation and experim

80 The calculated Gibbs energy barriers are in very good agreement with ex

81 The calculated Gibbs energy barriers support the reinsertion route prop

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

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

84 ger basins after flowing through the Charlie-Gibbs Fracture Zone.

85 We use a collapsed Gibbs sampling algorithm for inference.

86 Complete Gibbs energy profiles for the solvolysis reactions of be

87 ortant in improving the accuracy of computed Gibbs energy differences.

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

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

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

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

92 e temperature parameter in the corresponding Gibbs invariant measures.

93 E) models with unweighted and weighted data, Gibbs and Metropolis-Hasting (MH) sampling algorithms, w

94 3) possesses a thermal neutral and desirable Gibbs free energy of hydrogen for HER, ascribed to the t

95 inorganic phosphate, adenosine diphosphate, Gibbs free energy of ATP hydrolysis (DeltaGATP), phospho

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

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

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

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

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

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

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

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

104 mark computational estimates of experimental Gibbs energy differences.

105 vel of theory and compared with experimental Gibbs activation energies.

106 (2+), Br(-)](+*) was due to a less favorable Gibbs free energy change for electron transfer that resu

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

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

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

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

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

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

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

114 ilizes computed hydrogen atom transfer (HAT) Gibbs free energy instead of E(H)(1) as a predictor was

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

116 The highest Gibbs free energies of reaction for physical adsorption

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

118 ower must be maximised for a given change in Gibbs energy, in order to perform work such as proton pu

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

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

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

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

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

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

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

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

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

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

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

130 tching of the known nearly Gaussian incoming Gibbs state at the ADC completely determines the predict

131 As cellular inputs, ketones increase Gibbs free energy change for ATP by 27% compared to gluc

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

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

134 we find that metabolites tend to have lower Gibbs energies than nonbiological molecules.

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

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

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

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

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

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

141 large entropic contribution to the observed Gibbs reaction energies for the Lewis adduct formations

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

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

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

145 27-Mg (Mg-MOF-74), ab initio calculations of Gibbs free energies of adsorption have been performed.

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

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

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

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

150 We describe a modeling strategy based on Gibbs energy minimization that incorporates parameter es

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

152 e effect of functional group replacements on Gibbs binding energies DeltaG.

153 olecular electron transfer in MHCF optimizes Gibbs free energy for hydrogen adsorption (DeltaG(H*) )

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

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

156 determines the predicted anomalous outgoing Gibbs state, which can be calculated by a simple samplin

157 mitations are linked to an increased overall Gibbs free energy change (DeltaG(Overall)) and a potenti

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

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

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

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

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

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

164 certainty in estimation of standard reaction Gibbs energy.

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

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

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

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

169 launch of the Human Genome Project, Richard Gibbs reflects on the promises that this voyage of disco

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

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

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

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

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

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

176 n is that the sign and value of the standard Gibbs energy ( DeltaGr0 ) define the direction and energ

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

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

179 study function to reduce the standard-state Gibbs free energy of reaction for deprotonation of the w

180 ch induces incoming and outgoing statistical Gibbs invariant measures.

181 nductivity, carrier mobility, and a suitable Gibbs free energy are important criteria that determine

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

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

184 The Gibbs activation energies of the rate-determining steps

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

186 The Gibbs Centroid Sampler is a software package designed fo

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

188 The Gibbs energies of peptide binding to membranes determine

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

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

191 The Gibbs free energies of oxygen transfer from these hetero

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

193 The Gibbs free energy change for reactions of inactivation o

194 The Gibbs free energy difference between native and unfolded

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

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

197 The Gibbs free energy of mixing dissipated when fresh river

198 The Gibbs free energy of surface adsorption can be accuratel

199 The Gibbs sampling procedure we use simultaneously maps ambi

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

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

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

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

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

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

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

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

208 ential probability distribution known as the Gibbs measure.

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

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

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

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

213 This is also reflected by the Gibbs free energy values for the transition states, Delt

214 ng particle diameter and is predicted by the Gibbs-Thompson relationship.

215 Two limiting regimes are established by the Gibbs-Thomson effect for thinner nanowires and by surfac

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

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

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

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

220 tants, the surface equilibrium constant, the Gibbs free energy of adsorption, and the surface coverag

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

222 on the regression parameters and derive the Gibbs sampler using the conditional distributions of the

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

224 5 A of the phosphorylation site--encode the Gibbs free energy of inhibition (DeltaG(inhibition)) for

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

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

227 0 enabled calculation of the limits for the Gibbs activation energies for the conversions of compoun

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

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

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

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

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

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

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

235 ion around the Au(III) complex increases the Gibbs energy barrier.

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

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

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

239 Calculations of the Gibbs energy ( DeltaG (r) ) can identify whether a react

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

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

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

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

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

245 parent conductive oxide as a function of the Gibbs free energy change.

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

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

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

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

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

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

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

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

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

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

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

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

258 y, the key term responsible for reducing the Gibbs energy barrier is the interaction.

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

260 tor analysis to calculate, respectively, the Gibbs free energy difference between B-DNA and P-DNA, an

261 the singlet state, in the triplet state, the Gibbs barrier for the attack to the [5,6] bond of (#6094

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

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

264 someric transformation demonstrates that the Gibbs free energy is the driving force for the transform

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

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

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

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

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

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

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

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

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

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

275 conformation changes that contribute to the Gibbs free energy.

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

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

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

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

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

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

282 ons of phenolates with carbocations with the Gibbs energies for single-electron transfer manifests th

283 icelle formation does not interfere with the Gibbs region.

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

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

286 he reactions have been identified, and their Gibbs energies are used to explain the experimental reac

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

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

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

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

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

295 The relation with Gibbs ensembles is studied and understood.

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

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

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

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

300 uggestive signal in AHDC1, implicated in Xia-Gibbs syndrome, which involves intellectual disability a