The molecular pathway of enrofloxacin, a fluoroquinolone antibiotic, through the outer membrane channel OmpF of Escherichia coli is investigated. High-resolution ion current fluctuation analysis reveals a strong affinity for enrofloxacin to OmpF, the highest value ever recorded for an antibiotic-channel interaction. A single point mutation in the constriction zone of OmpF, replacing aspartic acid at the 113 position with asparagine (D113N), lowers the affinity to a level comparable to other antibiotics. All-atom molecular dynamics simulations allow rationalizing the translocation pathways: wild-type OmpF has two symmetric binding sites for enrofloxacin located at each channel entry separated by a large energy barrier in the center, which inhibits antibiotic translocation. In this particular case, our simulations suggest that the ion current blockages are caused by molecules occupying either one of these peripheral binding sites. Removal of the negative charge on position 113 removes the central barrier and shifts the two peripheral binding sites to a unique central site, which facilitates translocation. Fluorescence steady-state measurements agree with the different location of binding sites for wild-type OmpF and the mutant. Our results demonstrate how a single-point mutation of the porin, and the resulting intrachannel shift of the affinity site, may substantially modify translocation.

The facilitated influx of moxifloxacin through the most abundant channel in the outer cell wall of gram-negative bacteria was investigated. Molecular modeling provided atomic details of the interaction with the channel surface, revealed the preferred orientation of the antibiotic along its pathway, and gave an estimated time necessary for translocation. High-resolution conductance measurements on single OmpF trimers allowed the passages of individual moxifloxacin molecules to be counted. The average mean residence time of 50 micros is in agreement with the predicted strong interaction from the modeling. In contrast, control measurements with nalidixic acid, a hydrophobic antibiotic that rather permeates across the lipid membrane, revealed a negligible interaction. The spectral overlap of tryptophan with moxifloxacin was suitable for a FRET study of the protein-antibiotic interaction. Combining molecular dynamics simulations with selective quenching identified an interaction of moxifloxacin with Trp61 inside the OmpF channel, whereas nalidixic acid showed preferential interaction with Trp214 on the channel exterior. An understanding of the detailed molecular interactions between the antibiotic and its preferred channel may be used to develop new antibiotics with improved uptake kinetics.

The sand rat Psammomys obesus is a gerbil species native to deserts of North Africa and the Middle East, and is constrained in its ecology because high carbohydrate diets induce obesity and type II diabetes that, in extreme cases, can lead to pancreatic failure and death. We report the sequencing of the sand rat genome and discovery of an unusual, extensive, and mutationally biased GC-rich genomic domain. This highly divergent genomic region encompasses several functionally essential genes, and spans the ParaHox cluster which includes the insulin-regulating homeobox gene Pdx1. The sequence of sand rat Pdx1 has been grossly affected by GC-biased mutation, leading to the highest divergence observed for this gene across the Bilateria. In addition to genomic insights into restricted caloric intake in a desert species, the discovery of a localized chromosomal region subject to elevated mutation suggests that mutational heterogeneity within genomes could influence the course of evolution.

We present a new generation of coarse-grained (CG) potentials that account for a simplified electrostatic description of soluble proteins. The treatment of permanent electrostatic dipoles of the backbone and polar side-chains allows to simulate proteins, preserving an excellent structural and dynamic agreement with respective reference structures and all-atom molecular dynamics simulations. Moreover, multiprotein complexes can be well described maintaining their molecular interfaces thanks to the ability of this scheme to better describe the actual electrostatics at a CG level of resolution. An efficient and robust heuristic algorithm based on particle swarm optimization is used for the derivation of CG parameters via a force-matching procedure. The ability of this protocol to deal with high dimensional search spaces suggests that the extension of this optimization procedure to larger data sets may lead to the generation of a fully transferable CG force field. At the present stage, these electrostatic-consistent CG potentials are easily and efficiently parametrized, show a good degree of transferability, and can be used to simulate soluble proteins or, more interestingly, large macromolecular assemblies for which long all-atom simulations may not be easily affordable.

We present herein a thorough description of the effects of high glucose concentrations on the diffusion, hydration and internal dynamics of ubiquitin, as predicted from extensive molecular dynamics simulations on several systems described at fully atomistic level. We observe that the protein acts as a seed that speeds up the natural propensity of glucose to cluster at high concentration; the sugar molecules thus aggregate around the protein trapping it inside a dynamic cage. This process extensively dehydrates the protein surface, restricts the motions of the remaining water molecules, and drags the large-scale, collective motions of protein atoms slowing down the rate of exploration of the conformational space despite only a slight dampening of fast, local dynamics. We discuss how these effects could be relevant to the function of sugars as preservation agents in biological materials, and how crowding by small sticky molecules could modulate proteins across different reaction coordinates inside the cellular cytosol. ■ INTRODUCTIONSugars play roles as agents for the preservation of biological material in nature and in biotechnological manufacture, 1−3 most importantly through their capacity to stabilize proteins against cold and hot denaturation, both in solution and in the solid state. 4−7 Other potential effects of sugars on protein properties have been less explored, but changes in activity, dynamics, and regulation can be expected by analogy to the effects known to be caused by high concentrations of other molecules. Whereas most hydrophilic molecules have the capacity to agglomerate and disrupt water structure, sugars and polyols generally have exceptionally large solubilities, which allows them to strongly dehydrate other molecules and to cluster at very high concentrations forming glassy states. 8−11 Because of these special properties, questions about the effects of sugars on protein properties are intimately related to those revolving around the effects of viscosity, molecular crowding, encapsulation and even vitrification on proteins, all meeting at the crossroads between chemistry, biology, medicine, and applications in the food and pharmacological industries. Within all these closely related fields, the effects of high concentrations of small hydrophilic molecules on protein stability and translational and rotational diffusion have been explored, but studies of their effects on protein hydration and on internal protein dynamics are scarce. 4−7,12−16 More specifically to sugars, reports on the structure and dynamics of sugar-only solutions abound, 8,17−23 but works dealing with proteins in sugar solutions are mostly focused on the stability of the proteins and do not pay much attention to other effects related to hydration, diffusion, and internal mobility. 4−7 We recently reported in a preliminary work that concentrated glucose solutions can perturb protein dynamics by restricting exploration of the conformational space, through a mechanism that presumably involves protein−sugar interac...

Most studies of protein structure and function are performed in dilute conditions, but proteins typically experience high solute concentrations in their physiological scenarios and biotechnological applications. High solute concentrations have well-known effects on coarse protein traits like stability, diffusion, and shape, but likely also perturb other traits through finer effects pertinent at the residue and atomic levels. Here, NMR and molecular dynamics investigations on ubiquitin disclose variable interactions with concentrated solutes that lead to localized perturbations of the protein's surface, hydration, electrostatics, and dynamics, all dependent on solute size and chemical properties. Most strikingly, small polar uncharged molecules are sticky on the protein surface, whereas charged small molecules are not, but the latter still perturb the internal protein electrostatics as they diffuse nearby. Meanwhile, interactions with macromolecular crowders are favored mainly through hydrophobic, but not through polar, surface patches. All the tested small solutes strongly slow down water exchange at the protein surface, whereas macromolecular crowders do not exert such strong perturbation. Finally, molecular dynamics simulations predict that unspecific interactions slow down microsecond- to millisecond-timescale protein dynamics despite having only mild effects on pico- to nanosecond fluctuations as corroborated by NMR. We discuss our results in the light of recent advances in understanding proteins inside living cells, focusing on the physical chemistry of quinary structure and cellular organization, and we reinforce the idea that proteins should be studied in native-like media to achieve a faithful description of their function.

It is well-known that crowded environments affect the stability of proteins, with strong biological and biotechnological implications; however, beyond this, crowding is also expected to affect the dynamic properties of proteins, an idea that is hard to probe experimentally. Here we report on a simulation study aimed at evaluating the effects of crowding on internal protein dynamics, based on fully all-atom descriptions of the protein, the solvent and the crowder. Our model system consists of ubiquitin, a protein whose dynamic features are closely related to its ability to bind to multiple partners, in a 325 g L⁻¹ solution of glucose in water, a condition widely employed in in vitro studies of crowding effects. We observe a slight reduction in loop flexibility accompanied by a dramatic restriction of the conformational space explored in the timescale of the simulations (∼0.5 µs), indicating that crowding slows down collective motions and the rate of exploration of the conformational space. This effect is attributed to the extensive and long-lasting interactions observed between protein residues and glucose molecules throughout the entire protein surface. Potential implications of the observed effects are discussed.

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