Publications by authors named "Ramon Goni"

Molecular dynamics simulation (MD) is, just behind genomics, the bioinformatics tool that generates the largest amounts of data, and that is using the largest amount of CPU time in supercomputing centres. MD trajectories are obtained after months of calculations, analysed in situ, and in practice forgotten. Several projects to generate stable trajectory databases have been developed for proteins, but no equivalence exists in the nucleic acids world.

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We present parmbsc1, a force field for DNA atomistic simulation, which has been parameterized from high-level quantum mechanical data and tested for nearly 100 systems (representing a total simulation time of ∼ 140 μs) covering most of DNA structural space. Parmbsc1 provides high-quality results in diverse systems. Parameters and trajectories are available at http://mmb.

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Motivation: The SEABED web server integrates a variety of docking and QSAR techniques in a user-friendly environment. SEABED goes beyond the basic docking and QSAR web tools and implements extended functionalities like receptor preparation, library editing, flexible ensemble docking, hybrid docking/QSAR experiments or virtual screening on protein mutants. SEABED is not a monolithic workflow tool but Software as a Service platform.

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Chronic obstructive pulmonary disease (COPD) is characterized by multiple cellular and structural changes affecting the airways, lung parenchyma and vasculature, some of which are also identified in smokers without COPD. The molecular mechanisms underlying these changes remain poorly understood. With the aim of identifying mediators potentially implicated in the pathogenic processes that occur in COPD and their potential relationship with cigarette smoking, we evaluated the mRNA expression of genes involved in inflammation, tissue remodeling and vessel maintenance.

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Summary: DNAlive is a tool for the analysis and graphical display of structural and physical characteristics of genomic DNA. The web server implements a wide repertoire of metrics to derive physical information from DNA sequences with a powerful interface to derive 3D information on large sequences of both naked and protein-bound DNAs. Furthermore, it implements a mesoscopic Metropolis code which allows the inexpensive study of the dynamic properties of chromatin fibers.

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A new method for the prediction of promoter regions based on atomic molecular dynamics simulations of small oligonucleotides has been developed. The method works independently of gene structure conservation and orthology and of the presence of detectable sequence features. Results obtained with our method confirm the existence of a hidden physical code that modulates genome expression.

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The existence of sequences in the human genome which can be a target for triplex formation, and accordingly are candidates for anti-gene therapies, has been studied by using bioinformatics tools. It was found that the population of triplex-forming oligonucleotide target sequences (TTS) is much more abundant than that expected from simple random models. The population of TTS is large in all the genome, without major differences between chromosomes.

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Miniature inverted-repeat transposable elements (MITEs) are structurally similar to defective class II elements, but their high copy number and the size and sequence conservation of most MITE families suggest that they can be amplified by a replicative mechanism. Here we present a genome-wide analysis of the Emigrant family of MITEs from Arabidopsis thaliana. In order to be able to detect divergent ancient copies, and low copy number subfamilies with a different internal sequence we have developed a computer program to look for Emigrant elements based solely on the terminal inverted-repeat sequence.

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