, Akishima, Tokyo, Japan) and a 2010 F microscope operating at 12

, Akishima, Tokyo, Japan) and a 2010 F microscope operating at 120 and 200 kV, respectively. The latter is equipped with an Oxford Instruments’ EDX detector. For these measurements, the NWs were scraped from the substrate and dispersed on a lacey carbon-coated Thiazovivin in vitro copper grid. Results and discussion Just after growing the NWs and before performing any irradiation, EDX-SEM analysis (not shown here, see Additional file 1) confirmed that the ZnO film composition was very close to the stoichiometric one (O 50.50%, Zn 49.5%). In order to determine if the irradiation could affect the ZnO NW morphology, HR-SEM analyses were performed. Figure 1a,b

shows the SEM images from as-grown unirradiated NWs, with RG7112 the presence of a quite homogeneous ZnO NW cover layer on top of the ZnO film. Noticeable morphology changes can be observed on the surfaces of the films after irradiation (Figure 1c,d) where the images evidence a reduction of the thinner ZnO NW population, and only relatively thicker NWs can be observed. This is still more evident for the highest fluence (Figure 1e,f). Thus, it can be concluded that, at least for the fluences used in this work, the thinner NWs (diameter (d) < 200 nm) do not survive the irradiation process, especially at higher fluences (1017 cm−2). In

addition, the remaining NWs seem increasingly thicker Vistusertib price when the irradiation fluence increases. Figure 1 High-resolution SEM images. Showing the morphology of unirradiated ZnO NWs (a, b) and irradiated NWs with fluences of 1.5 × 1016 cm−2 (c, d) and 1017 cm−2 (e, f). Note the disappearance of the thinner NWs as the Methane monooxygenase irradiation fluence increases. Before any structural or optical characterization, the irradiated areas were observed by the naked eye when illuminating under UV light (at 365 and 254 nm). A clear color change was detected

with respect to the unirradiated areas; the irradiated ones appear black (not shown here, see Additional file 2). This was the first evidence of an important change in the optical emission properties of the samples, which motivated a detailed optical characterization of the irradiated structures. For a more in-depth study, μPL measurements were performed at RT on both the unirradiated and irradiated areas (Figure 2). The two typical emissions of ZnO were always observed, a strong NBE UV emission (approximately 3.26 eV) due to the direct recombination of photogenerated charge carriers or excitons [33] and a broad visible emission band (approximately 2.25 eV) involving deep levels. It is proposed that the visible emission (DLE) in ZnO originates from the contribution of at least three subbands, i.e., the so-called green band (green luminescence (GL), at approximately 2.4 eV (approximately 515 nm)), the yellow band (yellow luminescence (YL), at approximately 2.

In other words, for two ions separated by the critical distance R

In other words, for two ions separated by the critical distance R cr, the probability of a sensitizer

ion radiating is equal to the probability of its energy transfer to an acceptor ion. Therefore, crystals in which sensitizers and acceptors are on average closer than the critical radius, FG-4592 order W sa > W s, which results in non-radiative energy transfer being favoured over radiation. The critical interaction distance R cr is given by Dexter’s formula [10]: (2) In this expression, n is the index of refraction, Q a is the integrated absorption cross section of the acceptor ion ∫σ(E)dE, and f s ems and f a abs are the normalized (∫f(E)dE = 1) emission and absorption spectra with E the photon energy equal to ħc/λ. This means that the greater the overlap between the sensitizer ion’s emission spectrum and the acceptor ion’s absorption spectrum, the greater the critical distance. A large critical distance allows a relatively dilute distribution of sensitizer and acceptor ions within the Elafibranor clinical trial lattice to interact and exchange energy at rates faster than their radiative

rates. The practical consequence of Dexter’s formula is that the energy transfer is much more likely in a system in which there is significant overlap between the excited-state PF-04929113 concentration transitions of the sensitizing ions and the ground-state absorptions of the acceptor ions. Even in a singly doped system, in which the acceptors and sensitizers are of the same species, the pump will only interact with a small fraction of the Forskolin nmr total ions available. This means that the average distance between an excited-state ion and a ground-state ion is essentially equal to the average distance R av between the ions in the crystal, assuming a random distribution is given by (3) where N is the density of ions in the lattice. If R av is less than or equal to R cr for an interaction

involving a ground-state absorption by an acceptor ion, energy transfer can occur. Interactions involving excited-state acceptor ions can usually be neglected because at pump powers of a few Watts, the average separation between these excited-state ions is usually much larger than R cr. It is for these reasons that the cross-relaxation pathways illustrated in Figure 1 for a singly doped Tm3+ system are the only ones that are significant. Both C1 and C2 involve interactions between sensitizer ions excited by the pump and acceptor ions in the ground state. However, there will be no energy transfer or radiation if multi-phonon relaxation is too rapid, which is the case in many crystals that have relatively high lattice phonon energies. Low phonon energy crystals Reducing the multi-phonon relaxation rates in crystalline hosts is accomplished by incorporating heavier halides, such as chlorine or bromine, which has the effect of reducing the maximum phonon energies in the crystal.

First, road management and permitting agencies need to move beyon

First, road management and permitting agencies need to move beyond asking consultants or researchers to simply record use or measure rate of crossing by fauna, to insisting on evaluations of whether the crossing

structure has mitigated the effect of the road on the wildlife population. Second, researchers need to be involved in the design of the evaluation programs from the earliest stages of the road or road mitigation project. The researchers need to inform the road agency of the essential components of good study design and the need for (1) before data, (2) appropriate mitigation and control sites, (3) sufficient site replication, and (4) appropriate spatial scale and time-frame for evaluation. Finally, the importance and benefits of road mitigation measures should be better communicated to all stakeholders. Only then can the support and cooperation, PND-1186 price which is indispensable for studies that are characterized by long-term monitoring efforts, MK-8931 supplier be achieved. Although the set of guidelines we have presented is ambitious, we are convinced that they are necessary to improve our understanding of the effectiveness of road mitigation measures. Acknowledgments The initial workshop, held at castle Geulzicht in The Netherlands, and the work on the paper by the first author have been financed by the Dutch Ministry of Agriculture, Nature and Food Quality (Policy Support Research, BO-02-005 Spatial Quality National Ecological

Network) and the Ministry of Transport and Public Works. Co-finances were received by the research program KennisBasis (Theme 1: Planning and Management of Green and Blue Space). Co-author van der Ree is supported by The Baker MLN2238 Foundation. Open AccessThis article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and

the source are credited. References Arens P, van der Sluis T, van’t Westende WPC, Vosman B, Vos CC, Smulders MJM (2007) Genetic population differentiation and connectivity among fragmented moor frog (Rana arvalis) populations in The Netherlands. Landsc Ecol 22:1489–1500CrossRef Ascensão F, Mira A (2007) Factors affecting culvert use by vertebrates along two stretches of road in southern Portugal. Ecol Restor 22:57–66CrossRef Balkenhol N, Waits LP (2009) Molecular very road ecology: exploring the potential of genetics for investigating transportation impacts on wildlife. Mol Ecol 18:4151–4164PubMedCrossRef Becker DM, Basting PB (2010) Reconstruction of US Highway 93: Collaboration between three governments. In: Beckmann JP, Clevenger AP, Huijser MP, Hilty JA (eds) Safe passages—highways, wildlife and habitat connectivity. Island Press, Washington, DC, pp 173–187 Benítez-López A, Alkemade R, Verweij PA (2010) The impact of roads and other infrastructure on mammal and bird populations: a meta-analysis.

Nature 1915, 95:344 CrossRef 25 Warren BE: X-ray Diffraction Ne

Nature 1915, 95:344.CrossRef 25. Warren BE: X-ray Diffraction. New York: Dover; 1990. 26. Greene LE, Law M, Goldberger J, Kim F, Johnson JC, Zhang Y, Saykally RJ, Yang P: Low-temperature wafer-scale production of ZnO nanowire arrays. Angew Chem Int Ed 2003, 42:3031–3034.CrossRef

27. Hsu YF, Djurisic AB, Tam KH, Cheung KY, Chan WK: Fabrication and characterization of ZnO/TiO x nanoscale heterojunctions. J Crystal Growth 2007, 307:348–352.CrossRef Napabucasin Competing interests The authors declare that they have no competing interests. Authors’ contributions The experiments and characterization presented in this work were carried out by YZG, YG, and ZYY. The experiments were designed find more by YZG and HLL. YZG, YG, YZ, ZYY, QQS, SJD, HLL, and DWZ analyzed and discussed the results obtained from the experiments. The manuscript was prepared by YZG, and HLL helped with draft editing. All authors read and approved the final manuscript.”
“Background The study of the quantum properties of low-dimensional and doped structures is central to many nanotechnology applications [1–15]. Quantum devices in silicon have been the subject of concentrated recent interest, both experimental and theoretical,

including the recent discussion of Ohm’s law at the nanoscale [16]. Efforts to make such devices have led to atomically precise fabrication methods which incorporate phosphorus atoms in a single monolayer of a silicon GW-572016 supplier crystal [17–20]. These dopant atoms can be arranged into arrays [21] or geometric patterns for wires [16, 22] and associated tunnel junctions [23], gates, and quantum dots [24, 25] – all of which are necessary components of a functioning device [26]. The patterns themselves define atomically abrupt regions of doped and undoped silicon. While silicon, bulk-doped silicon, and the physics of the phosphorus incorporation

[27] are well understood, 2-hydroxyphytanoyl-CoA lyase models of this quasi-two-dimensional phosphorus sheet are still in their initial stages. In particular, it is critical in many applications to understand the effect of this confinement on the conduction band valley degeneracy, inherent in the band structure of silicon. For example, the degeneracy of the valleys has the potential to cause decoherence in a spin-based quantum computer [28, 29], and the degree of valley degeneracy lifting (valley splitting) defines the conduction properties of highly confined planar quantum dots [26]. The importance of understanding valley splitting in monolayer δ-doped Si:P structures has led to a number of theoretical works in recent years, spanning several techniques, from pseudo-potential theories via planar Wannier orbital bases [30], density functional theory (DFT) via linear combination of atomic orbital (LCAO) bases [31, 32], to tight-binding models [33–37] and effective mass theories (EMT) [38–40].

To test this idea, L acidophilus

was sorted from one of

To test this idea, L. acidophilus

was sorted from one of the bacterial yogurt extractions, (L. acidophilus abundance <0.2% by flow analysis) as either single cell or 50-cell templates for MDA, and sequenced using the Illumina MiSeq platform. For reference mapping, reads from both the single and 50-cell sorted https://www.selleckchem.com/products/BI6727-Volasertib.html amplicons were normalized and mapped to L. acidophilus NCFM (Figure 5). In parallel, as reference genomes are unavailable in most cases, we also assembled the genome de novo using the normalized reads. The assembly tool CLC was used to both map reads and assemble contigs de Momelotinib novo. Having a reference genome available allowed us to accurately assess the extent of genome coverage using both mapped reads and de novo assembly. As we hypothesized, reads mapping from the 50-cell template yielded near-complete genome coverage at 99.9%, while the single cell template fell short at 68% with far more amplification bias (Figure 5). Bias is clear (Figure 5B) in the single cell template with a large portion of the genome lacking coverage while other regions are covered at very high frequencies of >8,000 fold. For the de

novo assembled genome, the 50-cell template yielded 124 contigs (compared to 555 for the single cell) with >99.8% coverage of the reference and ~8-10% contamination by sequences from non-L. acidophilus species. The contaminating non-Lactobacillus reads were identified by searching assembled contigs in sequenced microbial genomes. We found that the single cell data was contaminated with sequences from bacteria close to a sequenced Pseudomonas genome (accession number, CP002290) and the 50-cell data was contaminated with genomic sequences related to Rhodopseudomonas (CP000283), Bradyrhizobium (BA000040) and Nitrobacter (CP000115). 13.37% of the single most cell read

data mapped to the Pseudomonas genome and 3.23% of the 50-cell data mapped to the Rhodopseudomonas genome, 0.6% to the Bradyrhizobium and 0.14% to the Nitrobacter. The https://www.selleckchem.com/products/ly2874455.html contaminations were likely generated during the cell sorting and/or the MDA process. MDA-related contaminants, such as non-specific amplification and DNA presented in reagents, are common to virtually any approach that utilizes whole genome amplification [33, 43–46]. Beside possible contamination from the MDA process, most contaminants were probably introduced during the cell sorting process since contaminated sequences were not shared between single and 50-cell results.

Diagn Microbiol Infect Dis 2008, 60:143–150 PubMedCrossRef 18 Ve

Diagn Microbiol Infect Dis 2008, 60:143–150.PubMedCrossRef 18. Verhelst R, Kaijalainen T, De Baere T, Verschraegen G, Claeys G, Van Simaey L, De Ganck C, Vaneechoutte M: Comparison of five genotypic techniques for identification of optochin-resistant pneumococcus-like isolates. J Clin Microbiol 2003, 41:3521–3525.PubMedCrossRef 19. Whatmore AM, Efstratiou A, Pickerill AP, Broughton SCH727965 in vitro K,

Woodard G, Sturgeon D, buy Saracatinib George R, Dowson CG: Genetic relationships between clinical isolates of Streptococcus pneumoniae, Streptococcus oralis, and Streptococcus mitis: characterization of “”Atypical”" pneumococci and organisms allied to S. mitis harboring S. pneumoniae virulence factor-encoding genes. Infect Immun 2000, 68:1374–1382.PubMedCrossRef 20. Sam IC, Smith M: Failure to detect capsule gene bexA in Haemophilus influenzae types e and f by real-time PCR due to sequence variation within probe binding sites. J Med Microbiol 2005,54(Pt 5):453–455.PubMedCrossRef 21. Abdeldaim GM, Stralin K, Kirsebom LA, Olcen P, Blomberg J, Herrmann B: Detection of Haemophilus influenzae in respiratory secretions from pneumonia patients by quantitative real-time polymerase chain reaction. Diagn Microbiol Infect Dis 2009, 64:366–373.PubMedCrossRef 22. Molling P, Jacobsson S, Backman

A, Olcen P: Direct and rapid identification and genogrouping of meningococci and porA amplification Venetoclax molecular weight by LightCycler PCR. J Clin Microbiol 2002, 40:4531–4535.PubMedCrossRef 23. Stralin K, Korsgaard J, Olcen P: Evaluation of a multiplex PCR for bacterial pathogens applied to bronchoalveolar AZD2014 mw lavage. Eur Respir J 2006, 28:568–575.PubMedCrossRef 24. Welinder-Olsson C, Dotevall L, Hogevik H, Jungnelius R, Trollfors B, Wahl M, Larsson P: Comparison of broad-range bacterial PCR

and culture of cerebrospinal fluid for diagnosis of community-acquired bacterial meningitis. Clin Microbiol Infect 2007, 13:879–886.PubMedCrossRef 25. Nielsen SV, Henrichsen J: Detection of pneumococcal polysaccharide antigens in the urine of patients with bacteraemic and non-bacteraemic pneumococcal pneumonia. Zentralbl Bakteriol 1994, 281:451–456.PubMed 26. WHO: Laboratory methods for the diagnosis of meningitis caused by Neisseria meningitidis, Streptococcus pneumoniae , and Haemophilus influenzae . WHO Communicable disease surveillance and response 2008. Report No.: WHO/CDS/CSR/EDC/99.97 27. Braasch DA, Corey DR: Locked nucleic acid (LNA): fine-tuning the recognition of DNA and RNA. Chem Biol 2001, 8:1–7.PubMedCrossRef 28. Meats E, Feil EJ, Stringer S, Cody AJ, Goldstein R, Kroll JS, Popovic T, Spratt BG: Characterization of encapsulated and noncapsulated Haemophilus influenzae and determination of phylogenetic relationships by multilocus sequence typing. J Clin Microbiol 2003, 41:1623–1636.PubMedCrossRef 29.

It has been reported that very thin films of metastable γ-FeSi2 p

It has been reported that very thin films of metastable γ-FeSi2 phase with a cubic CaF2 structure [8, 9], FeSi1+x (0 ≤ x ≤ 1) phase with a defect CsCl structure [10, 11] and a new silicide phase with a c (4 × 8) surface periodicity [2, 12, 13] can be grown on Si (111) substrate by solid-phase epitaxy (SPE), which was realized by depositing iron on the silicon substrate at room temperature and then annealing the film at an elevated temperature. Despite the interesting properties and potential www.selleckchem.com/products/sbe-b-cd.html applications, it is

challenging to control the silicide reaction at the Fe/Si interface and grow a flat and single-phase thin film of iron silicide with the demanded structure. Due to the variety of existing compounds and the complexity of growth kinetics, the iron silicide see more thin films usually grow into a mixture of different phases with heterogeneous morphology [2, 5, 13]. Different from the silicide reaction in SPE, which is realized under iron-rich condition, reactive deposition epitaxy (RDE) (deposition of iron on the silicon substrate heated to a determined temperature) most probably involves diffusion of monomers on the surface, which may lead to the formation of unusual silicide structures. It has

been reported that RDE favors the production of Si-rich phases and single crystalline JPH203 cell line epitaxial structures [14, 15]. In this paper, we performed a scanning tunneling microscope (STM) study on the reactive epitaxial growth of iron silicides on Si (111)-(7 × 7) surface at different temperatures. We found that a thicker homogeneous and crystalline c (4 × 8) iron silicide thin film can be formed on the Si (111) surface with an extremely low deposition rate. The thickness of the film can be up to approximately 6.3 Å, which is significantly larger than that obtained previously by RDE method. This film could be used in the optoelectronic devices or serve as a precursor surface applicable in magnetic technological

fields. Methods Iron silicide thin films were grown on Si (111) substrates by using an ultrahigh vacuum (UHV) molecular beam epitaxy-STM system (Multiprobe XP, Omicron, Taunusstein, Germany) with a base pressure of less than 5.0 × 10−11 mbar. P-doped, n-type Si (111) substrates with resistivity of approximately 1 Ω cm were cleaned in UHV by the well-established annealing Metalloexopeptidase and flashing procedures [16]. Iron was deposited on the clean substrates by heating iron lumps (purity 99.998%) in a Mo crucible with electron bombardment. The iron flux was monitored by an internal ion collector mounted near the evaporation source. During deposition, the substrates were heated by direct current and the temperatures were measured using an infrared pyrometer. The deposition rate was controlled from approximately 0.01 to 0.07 ML min−1 (1 ML = 1 iron atom per 1 × 1 surface mesh = 7.8 × 1014 atoms cm−2) [13]. An electrochemically etched tungsten tip was used for scanning.

Not only do the genome sizes differ widely [15], but even among c

Not only do the genome sizes differ widely [15], but even among conserved genes, there is incongruity

among the inferred phylogenies. This is the well-accepted signature of horizontal gene transfer and homologous recombination. Gene organization also differs among sequenced strains, indicating large-scale genetic mobility. Individual genes and entire operons may be mobile among Vibrio [16–20]. In particular, Chromosome II varies widely in size and organization [14, 21]. Further, many Vibrio carry (and presumably exchange) plasmids. Though it may seem unusual Selleck Emricasan to expect as large a quantity of DNA to be transferred as an entire chromosome, there is evidence that Vibrio have experienced a transfer on that magnitude even recently: The putative V. vulnificus hybridization leading to biotype 3 involves very large quantities of DNA being transferred among V. vulnificus strains to create a hybrid strain almost evenly split in contributions from biotypes 1 and 2 [22]. However, the hybridization event involves loci from both chromosomes being transferred and appears to have preserved their associations with those

chromosomes. As such, it does not appear to have been an exchange of chromosomal partners, but it raises the possibility that chromosomal exchange may have been an evolutionary mechanism within the Vibrionaceae. The function find more of a second chromosome, and of multi-chromosomality in general, has been the subject of speculation [2, 14, 23]. That many of the genes on the Vibrio Chromosome II have specific environmental functions has been noted, and the role of the second chromosome in habitat

adaptation has been tested experimentally [23]. Xu et al demonstrated that when V. cholera was grown in an animal host (rabbit ileal loop) a general shift in gene expression favored up-regulation of genes on the second chromosome relative to the gene expression profiles in exponential growth in vitro. This experimental data paired with the gross similarities among the chromosome I from all sequenced Vibrio and the great diversity of chromosome II, suggests that the second chromosome represents a collection of accessory elements and might be mobilized Evodiamine wholesale leading to a complete shift in habitat or niche [2, 14]. ‘Vibrio phylogenies’ that are built using MLSA or single-copy conserved genes typically use genes located on chromosome I [15, 24–34] with the exception of intra-specific typing schemes for pathogens [17, 22]. This is a side-effect of choosing stable, conserved, essential, single copy genes. However, it provides little assurance of representing the history of the entire genome given that Chromosome II is excluded from the analyses. Given the high degree of https://www.selleckchem.com/products/ly2835219.html mobility Vibrio genetic elements are presumed to have, it is possible that the two chromosomes have distinct and conflicting histories.

14 Mastretta E, Longo P, Laccisaglia A: Effect of Lactobacillus

14. Mastretta E, Longo P, Laccisaglia A: Effect of Lactobacillus GG and breast-feeding in the prevention of rotavirus nosocomial infection. J Pediatr Gastroenterol Nutr 2002, LCZ696 solubility dmso 35:1046–1049.CrossRef 15. Reid G, Jass J, Sebulsky MT: Potential uses of probiotics in clinical practice. Clin Microbiol Rev 2003, 16:658–672.CrossRefPubMed 16. Santosa S, Farnworth E, Jones PJ: Probiotics and their potential health claims. Nutr Rev 2006, 64:265–274.CrossRefPubMed 17. Corr SC, Li Y, Riedel CU: Bacteriocin production as a mechanism for the antiinfective activity of Lactobacillus salivarius UCC118. Proc Natl Acad Sci 2007, 104:7617–7621.CrossRefPubMed 18. Takahashi

M, Taguchi H, Yamaguchi H: The effect of probiotic treatment with Clostridium butyricum on enterohemorrhagic Escherichia coli O157:H7 infection in mice. FEMS Immunol Med Microbiol 2004, 41:219–226.CrossRefPubMed 19. SCH772984 nmr Madsen K, Cornish A, Soper P: Probiotic bacteria enhance murine and human intestinal epithelial barrier function. Gastroenterology 2001, 121:580–591.CrossRefPubMed 20. Resta-Lenert S, Barrett KE: Probiotics and commensals reverse TNF-alpha and IFN-gamma-induced dysfunction in human intestinal epithelial cells. Gastroenterology 2006, 130:731–746.CrossRefPubMed 21. Seth A, Yan F, Polk DB: Probiotics ameliorate the hydrogen peroxide-induced epithelial

barrier disruption by a PKC- and MAP kinase-dependent mechanism. Am J Physiol Gastrointest. Liver Physiol 2008, 294:G1060–1069.CrossRefPubMed Oxalosuccinic acid selleckchem 22. Otte JM, Podolsky DK: Functional modulation of enterocytes by gram-positive and gram-negative microorganisms. Am J Physiol Gastrointest. Liver Physiol 2004, 286:G613-G626.CrossRefPubMed 23. Parassol N, Freitas M, Thoreux K:Lactobacillus casei DN-114 001 inhibits the increase in paracellular permeability of enteropathogenic Escherichia coli -infected

T84 cells. Res Microbiol 2005,156(2):256–262.PubMed 24. Resta-Lenert S, Barrett KE: Live probiotics protect intestinal epithelial cells from the effects of infection with enteroinvasive Escherichia coli (EIEC). Gut 2003, 52:988–997.CrossRefPubMed 25. Amieva M, Vogelmann R: Epithelial cells and pathogens – the Odyssey System brings light into the darkness. Tight junction barrier function in epithelial cells. [http://​www.​licor.​com/​bio/​PDF/​EpithelialCells.​pdf] 2004, 24:2006. 26. Kumar SS, Malladi V, Sankaran K, et al.: Extrusion of actin-positive strands from Hep-2 and Int 407 cells caused by outer membrane preparations of enteropathogenic Escherichia coil and specific attachment of wild type bacteria to the strands. Can J Microbiol 2001, 47:727–734.CrossRefPubMed Authors’ contributions ZWZ carried out the study, were responsible for data collection, sample analyses, and statistical analyses. XMH participated in the immunohistochmistry, fluorescence staining. YQJ participated in the gel electrophoresis and western blotting. All authors read and approved the final manuscript.

In spite of some known shortcomings of TD-DFT,

In spite of some known shortcomings of TD-DFT, Selleck 10058-F4 such as a poor description of excited states with strong charge transfer character, this approach can be applied to large molecular PF 01367338 complexes and provides a useful tool to interpret and complement experimental optical data. As an example, a recent TD-DFT study by Neugebauer (2008) has addressed the issue of the environmental effects on the excitation energies and photophysical properties of LH2 complexes (see also Orio et al. in this issue). Molecular dynamics Usually electronic structure calculations are performed on a fixed nuclear configuration (geometrical structure) within the Born–Oppenheimer approximation CDK inhibitor (see e.g.,

Atkins and Friedman 2005). By using the forces evaluated for that particular geometry, it is possible to find stationary states, minima, and saddle points, on the potential energy surface (PES). In general however, it would be desirable to include explicitly dynamical effects due to the nuclear motion at finite temperature and to obtain free energy surfaces along a

specific reaction coordinate. This aim can be achieved by Molecular Dynamics (MD) simulations that represent a powerful tool to treat explicitly the atomic motion of a pigment–protein complex at realistic thermodynamic conditions and including solvent effects (Frenkel and Smit 1996). In this approach, the Newtonian equations of motion are solved numerically by evolving in time the positions and velocities of each particle by a very small time interval Δt at each Ibrutinib cell line MD step. Typical values of the time step Δt are of the order of 1 fs. The PES, which

is used to derive the atomic forces, is usually written in a simple functional form containing bonded terms, such as stretching, bending, and torsional energy, and non-bonded terms, most importantly electrostatic and van der Waals interactions. All these contributions to the total energy contain a number of empirical parameters that need to be predefined and that characterize a particular force field. Some of the most commonly used force fields for biomolecules are the AMBER and CHARMM force fields. MD simulations based on empirical force fields are widely used to study structure–function relationship in proteins with known crystal structures (see, e.g., Warshel 1991; Kosztin and Schulten 2008). This numerical technique has been applied to study the reorganization energy of the initial electron-transfer step in photosynthetic bacterial reaction centers (BRC) (Parson et al. 1998; Parson and Warshel 2008). The MD trajectories can be also used in combination with quantum chemical methods for predicting and characterizing charge transfer processes and optical properties (Damjanovic et al. 2002).