We report a method for the structure-based calculation of the spectral density of the pigment–protein coupling in light-harvesting complexes that combines normal-mode analysis with the charge density coupling (CDC) and transition charge from electrostatic potential (TrEsp) methods for the computation of site energies and excitonic couplings, respectively. The method is applied to the Fenna–Matthews–Olson (FMO) protein in order to investigate the influence of the different parts of the spectral density as well as correlations among these contributions on the energy transfer dynamics and on the temperature-dependent decay of coherences. The fluctuations and correlations in excitonic couplings as well as the correlations between coupling and site energy fluctuations are found to be 1 order of magnitude smaller in amplitude than the site energy fluctuations. Despite considerable amplitudes of that part of the spectral density which contains correlations in site energy fluctuations, the effect of these correlations on the exciton population dynamics and dephasing of coherences is negligible. The inhomogeneous charge distribution of the protein, which causes variations in local pigment–protein coupling constants of the normal modes, is responsible for this effect. It is seen thereby that the same building principle that is used by nature to create an excitation energy funnel in the FMO protein also allows for efficient dissipation of the excitons’ excess energy.

Systematic model investigations of the molecular interactions of fluorinated amino acids within native protein environments substantially improve our understanding of the unique properties of these building blocks. A rationally designed heterodimeric coiled coil peptide (VPE/VPK) and nine variants containing amino acids with variable fluorine content in either position a16 or d19 within the hydrophobic core were synthesized and used to evaluate the impact of fluorinated amino acid substitutions within different hydrophobic protein microenvironments. The structural and thermodynamic stability of the dimers were examined by applying both experimental (CD spectroscopy, FRET, and analytical ultracentrifugation) and theoretical (MD simulations and MM-PBSA free energy calculations) methods. The coiled coil environment imposes position-dependent conformations onto the fluorinated side chains and thus affects their packing and relative orientation towards their native interaction partners. We find evidence that such packing effects exert a significant influence on the contribution of fluorine-induced polarity to coiled coil folding.

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The transfer of a mixture of perfluoroalkyl acids (PFAAs) from contaminated feed into the edible tissues of 24 fattening pigs was investigated. Four perfluoroalkyl sulfonic (PFSAs) and three perfluoroalkyl carboxylic acids (PFCAs) were quantifiable in feed, plasma, edible tissues, and urine. As percentages of unexcreted PFAA, the substances accumulated in plasma (up to 51%), fat, and muscle tissues (collectively, meat 40-49%), liver (under 7%), and kidney (under 2%) for most substances. An exception was perfluorooctanesulfonic acid (PFOS), with lower affinity for plasma (23%) and higher for liver (35%). A toxicokinetic model is developed to quantify the absorption, distribution, and excretion of PFAAs and to calculate elimination half-lives. Perfluorohexanoic acid (PFHxA), a PFCA, had the shortest half-life at 4.1 days. PFSAs are eliminated more slowly (e.g., half-life of 634 days for PFOS). PFAAs in pigs exhibit longer elimination half-lives than in most organisms reported in the literature, but still shorter than in humans.

The mutual information (MI) expansion is applied to two molecular systems to probe algorithms that serve to estimate conformational entropy differences more precisely. The individual terms of the MI expansion are evaluated with a histogram method. Internal coordinates are used to avoid spurious correlations, which would require higher order terms in the MI expansion. Two approaches are applied that compensate for systematic errors that occur with a histogram method: (1) Simulation data are balanced by using the same number of coordinate sets (frames) for both conformer domains considered for the entropy difference computation. Balancing puts fluctuations of the histogram bin contents on the same level for both conformer domains, allowing efficient error cancellation. (2) Bias correction compensates for systematic deviations due to a finite number of frames per bin. Applying both corrections improves the precision of entropy differences drastically. Estimates of entropy differences are compared to thermodynamic benchmarks of a simple polymer model and trialanine, where excellent agreement was found. For trialanine, the average error for the estimated conformational entropy difference is only 0.3 J/(mol K), which is 100 times smaller than without applying the two corrections. Guidelines are provided for efficiently estimating conformational entropies. The program ENTROPICAL, used for the computations, is made available, which can be used for molecular dynamics or Monte Carlo simulation data on macromolecules like oligopeptides, polymers, proteins, and ligands.