153 research outputs found

    Coordination corrected ab initio formation enthalpies

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    The correct calculation of formation enthalpy is one of the enablers of ab-initio computational materials design. For several classes of systems (e.g. oxides) standard density functional theory produces incorrect values. Here we propose the “coordination corrected enthalpies” method (CCE), based on the number of nearest neighbor cation–anion bonds, and also capable of correcting relative stability of polymorphs. CCE uses calculations employing the Perdew, Burke and Ernzerhof (PBE), local density approximation (LDA) and strongly constrained and appropriately normed (SCAN) exchange correlation functionals, in conjunction with a quasiharmonic Debye model to treat zero-point vibrational and thermal effects. The benchmark, performed on binary and ternary oxides (halides), shows very accurate room temperature results for all functionals, with the smallest mean absolute error of 27(24) meV/atom obtained with SCAN. The zero-point vibrational and thermal contributions to the formation enthalpies are small and with different signs—largely canceling each other

    AFLOW-SYM: platform for the complete, automatic and self-consistent symmetry analysis of crystals

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    Determination of the symmetry profile of structures is a persistent challenge in materials science. Results often vary amongst standard packages, hindering autonomous materials development by requiring continuous user attention and educated guesses. This article presents a robust procedure for evaluating the complete suite of symmetry properties, featuring various representations for the point, factor and space groups, site symmetries and Wyckoff positions. The protocol determines a system-specific mapping tolerance that yields symmetry operations entirely commensurate with fundamental crystallographic principles. The self-consistent tolerance characterizes the effective spatial resolution of the reported atomic positions. The approach is compared with the most used programs and is successfully validated against the space-group information provided for over 54 000 entries in the Inorganic Crystal Structure Database (ICSD). Subsequently, a complete symmetry analysis is applied to all 1.7+ million entries of the AFLOW data repository. The AFLOW-SYM package has been implemented in, and made available for, public use through the automated ab initio framework AFLOW

    Cocaine abuse and effects in the serum levels of cytokines IL-6 and IL-10

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    AbstractBackgroundCocaine abuse is capable of activating the innate immune system in the CNS resulting in deregulation of homeostasis between pro and antiinflammatory cytokines. The aim of this study was to investigate serum levels of pro and antiinflammatory cytokines, IL-6 and IL-10 respectively, in cocaine users from a young population-based sample.MethodsThis is a case–control study nested in a cross-sectional population-based survey, with individuals of 18 and 35 years old. Two groups were selected: 24 healthy controls and 12 subjects who reported cocaine use. Serum IL-6 and IL-10 were measured by ELISA using a commercial kit.ResultsThere was a statistically significant increase in IL-6 (p=0.037) and decrease in IL-10 (p=0.007) serum levels, between cocaine users and the control group. There was also an increase in the ratio IL-6/IL-10 (p=0.013) among cocaine users individuals, when compared to the control group.ConclusionsOur results suggest that cocaine users showed an activation of the immune system when compared a control group, demonstrating a disruption in the balance of pro and antiinflammatory cytokines. Thus, peripheral cytokines may represent a putative biomarkers for cocaine users, contributing to the development of diagnosis and effective treatments

    Nε-Formylation of lysine is a widespread post-translational modification of nuclear proteins occurring at residues involved in regulation of chromatin function

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    Post-translational modification of histones and other chromosomal proteins regulates chromatin conformation and gene activity. Methylation and acetylation of lysyl residues are among the most frequently described modifications in these proteins. Whereas these modifications have been studied in detail, very little is known about a recently discovered chemical modification, the Nε-lysine formylation, in histones and other nuclear proteins. Here we mapped, for the first time, the sites of lysine formylation in histones and several other nuclear proteins. We found that core and linker histones are formylated at multiple lysyl residues located both in the tails and globular domains of histones. In core histones, formylation was found at lysyl residues known to be involved in organization of nucleosomal particles that are frequently acetylated and methylated. In linker histones and high mobility group proteins, multiple formylation sites were mapped to residues with important role in DNA binding. Nε-lysine formylation in chromosomal proteins is relatively abundant, suggesting that it may interfere with epigenetic mechanisms governing chromatin function, which could lead to deregulation of the cell and disease

    Draft genome sequence of antarctic psychrotroph Streptomyces fildesensis strain INACH3013, isolated from King George Island soil

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    The draft genome sequence of Streptomyces fildesensis strain INACH3013, a psychrotrophic bacterium isolated from Northwest Antarctic soil, was reported. The genome sequence totaling 9,306,785 bp resulted from 122 contigs characterized by a GC content of 70.55%

    Fungal model systems and the elucidation of pathogenicity determinants

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    This is the final version of the article. Available from Elsevier via the DOI in this record.Fungi have the capacity to cause devastating diseases of both plants and animals, causing significant harvest losses that threaten food security and human mycoses with high mortality rates. As a consequence, there is a critical need to promote development of new antifungal drugs, which requires a comprehensive molecular knowledge of fungal pathogenesis. In this review, we critically evaluate current knowledge of seven fungal organisms used as major research models for fungal pathogenesis. These include pathogens of both animals and plants; Ashbya gossypii, Aspergillus fumigatus, Candida albicans, Fusarium oxysporum, Magnaporthe oryzae, Ustilago maydis and Zymoseptoria tritici. We present key insights into the virulence mechanisms deployed by each species and a comparative overview of key insights obtained from genomic analysis. We then consider current trends and future challenges associated with the study of fungal pathogenicity.This review was carried out by members of the EU-Initial Training Network Ariadne (PITN-GA-2009-237936), which provided financial support for C.B., S.D., M.E.G., E.G., E.M., P.V.M., M.M., V.N., M.F.A.N., T.O., M.O.R., K.S. and L.W

    Roadmap on Machine learning in electronic structure

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    AbstractIn recent years, we have been witnessing a paradigm shift in computational materials science. In fact, traditional methods, mostly developed in the second half of the XXth century, are being complemented, extended, and sometimes even completely replaced by faster, simpler, and often more accurate approaches. The new approaches, that we collectively label by machine learning, have their origins in the fields of informatics and artificial intelligence, but are making rapid inroads in all other branches of science. With this in mind, this Roadmap article, consisting of multiple contributions from experts across the field, discusses the use of machine learning in materials science, and share perspectives on current and future challenges in problems as diverse as the prediction of materials properties, the construction of force-fields, the development of exchange correlation functionals for density-functional theory, the solution of the many-body problem, and more. In spite of the already numerous and exciting success stories, we are just at the beginning of a long path that will reshape materials science for the many challenges of the XXIth century
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