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The complexity of hydration of phloroglucinol: a comprehensive structural and thermodynamic characterization.

ABSTRACT: Hydrate formation is of great importance as the inclusion of water molecules affects many solid state properties and hence determines the required chemical processing, handling, and storage. Phloroglucinol is industrially important, and the observed differences in the morphology and diffuse scattering effects with growth conditions have been scientifically controversial. We have studied the anhydrate and dihydrate of phloroglucinol and their transformations by a unique combination of complementary experimental and computational techniques, namely, moisture sorption analysis, hot-stage microscopy, differential scanning calorimetry, thermogravimetry, isothermal calorimetry, single crystal and powder X-ray diffractometry, and crystal energy landscape calculations. The enthalpically stable dihydrate phase is unstable below 16% relative humidity (25 °C) and above 50 °C (ambient humidity), and the kinetics of hydration/dehydration are relatively rapid with a small hysteresis. A consistent atomistic picture of the thermodynamics of the hydrate/anhydrate transition was derived, consistent with the disordered single X-ray crystal structure and crystal energy landscape showing closely related low energy hydrate structures. These structures provide models for proton disorder and show stacking faults as intergrowth of different layers are possible. This indicates that the consequent variability in crystal surface features and diffuse scattering with growth conditions is not a practical concern.

SUBMITTER: Braun DE

PROVIDER: S-EPMC3320094 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Conformational entropy for atomic-level, three dimensional biomolecules is known experimentally to play an important role in protein-ligand discrimination, yet reliable computation of entropy remains a difficult problem. Here we describe the first two accurate and efficient algorithms to compute the conformational entropy for RNA secondary structures, with respect to the Turner energy model, where free energy parameters are determined from UV absorption experiments. An algorithm to compute the derivational entropy for RNA secondary structures had previously been introduced, using stochastic context free grammars (SCFGs). However, the numerical value of derivational entropy depends heavily on the chosen context free grammar and on the training set used to estimate rule probabilities. Using data from the Rfam database, we determine that both of our thermodynamic methods, which agree in numerical value, are substantially faster than the SCFG method. Thermodynamic structural entropy is much smaller than derivational entropy, and the correlation between length-normalized thermodynamic entropy and derivational entropy is moderately weak to poor. In applications, we plot the structural entropy as a function of temperature for known thermoswitches, such as the repression of heat shock gene expression (ROSE) element, we determine that the correlation between hammerhead ribozyme cleavage activity and total free energy is improved by including an additional free energy term arising from conformational entropy, and we plot the structural entropy of windows of the HIV-1 genome. Our software RNAentropy can compute structural entropy for any user-specified temperature, and supports both the Turner'99 and Turner'04 energy parameters. It follows that RNAentropy is state-of-the-art software to compute RNA secondary structure conformational entropy. Source code is available at https://github.com/clotelab/RNAentropy/; a full web server is available at http://bioinformatics.bc.edu/clotelab/RNAentropy, including source code and ancillary programs.

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The complexity of hydration of phloroglucinol: a comprehensive structural and thermodynamic characterization.

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