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3501“…However, searching by topological or physical structure, especially for large databases and especially for approximate matches, is still an art. …”
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3502por Heitz, Annie, Avrutina, Olga, Le-Nguyen, Dung, Diederichsen, Ulf, Hernandez, Jean-François, Gracy, Jérôme, Kolmar, Harald, Chiche, Laurent“…Moreover, we show that cyclic and linear squash inhibitors do not display large differences in structure or flexibility in standard conditions, raising the question as to why few squash inhibitors have evolved into cyclic compounds. …”
Publicado 2008
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3503“…This review summarizes the recent structural and biophysical studies of RNA pseudoknots and places this work in the context of our evolving mechanistic understanding of translation elongation. …”
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3504por Caboche, Ségolène, Pupin, Maude, Leclère, Valérie, Jacques, Phillipe, Kucherov, Gregory“…NRPs are mainly composed of amino acids but their primary structure is not always linear and can contain cycles or branchings. …”
Publicado 2009
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3505Materias: “…Protein Structure and Folding…”
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3506por Rother, Kristian, Hildebrand, Peter Werner, Goede, Andrean, Gruening, Bjoern, Preissner, Robert“…The packing data are compared to a nonredundant set of structures from SCOP superfamilies. Both packing densities and cavities can be visualized in the 3D structures by the Jmol plugin. …”
Publicado 2009
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3507“…BACKGROUND: Here we continue our efforts to use methods developed in the folding mechanism community to both better understand and improve structure prediction. Our previous work demonstrated that Rosetta's coarse-grained potentials may actually impede accurate structure prediction at full-atom resolution. …”
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3508“…Protein structures often show similarities to another which would not be seen at the sequence level. …”
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3509“…BACKGROUND: Methods that can automatically assess the quality of computationally predicted protein structures are important, as they enable the selection of the most accurate structure from an ensemble of predictions. …”
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3510“…Results: We analyze the functional structure of Saccharomyces cerevisiae datasets from over 950 publications in the context of over 140 biological processes. …”
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3511“…Example applications include structural alignment of non-coding RNAs, propagation of structural information from an experimentally-characterized sequence to its homologs, and inference of the ancestral structure of a set of diverged RNAs. …”
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3512por Lukavsky, Peter J.“…The HCV IRES is a highly structured RNA which mediates cap-independent translation initiation in higher eukaryotes. …”
Publicado 2009
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3514“…DISCUSSION: The statistically significant difference value for area is suggestive of inherent motion in calvarial structures, and adds to the body of evidence supportive of biomechanically measurable calvarial structure motion in general. …”
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3515“…RESULTS: A computer-aided substrate screening (CASS) system which was based on the enzyme structure was designed and employed successfully to help screen substrates of Candida antarctica lipase B (CALB). …”
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3516“…Obtaining an electron-density map from X-ray diffraction data can be difficult and time-consuming even after the data have been collected, largely because MIR and MAD structure determinations currently require many subjective evaluations of the qualities of trial heavy-atom partial structures before a correct heavy-atom solution is obtained. …”
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3518por Pirnay, Jean-Paul, Bilocq, Florence, Pot, Bruno, Cornelis, Pierre, Zizi, Martin, Van Eldere, Johan, Deschaght, Pieter, Vaneechoutte, Mario, Jennes, Serge, Pitt, Tyrone, De Vos, Daniel“…These observations confirm the nonclonal epidemic population structure of P. aeruginosa, a superficially clonal structure with frequent recombinations, in which occasionally highly successful epidemic clones arise. …”
Publicado 2009
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3519“…Here we examine to what extent structural plasticity of spines can be a cause for metaplasticity. …”
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3520“…We suggest using the spectrum of the associated graph Laplacian operator, namely, Laplacian eigenfunctions, to infer population structure. In simulations and real data on a ring species of birds, Laplacian eigenfunctions reveal more meaningful and less noisy structure of the underlying population, compared with principal components. …”
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