Benoit Maillot (401506), Nicolas Lévy (13383), Sylvia Eiler (401507) et al. · Figshare · 2015
<p><b>A</b>. IN/LEDGF/vDNA structure in the 3′ processing conformation. <b>B</b>. In the IN/LEDGF/INI1-IBD/vDNA complex, INI1-IBD caps the surface of the complex and blocks IN in an intermediate conformation, as shown by the position of the viral DNA (yellow). <b>C.</b> IN/LEDGF/vDNA/tDNA structure in the strand transfer conformation after release of INI1 and binding to the target DNA (red).</p>
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Sauter, Tilman (Dr.) · publish.UP (University of Potsdam) · 2015
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Mark Mason, Anthony P. Schuller, Emmanuel Skordalakes · Current Opinion in Structural Biology · 2010
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The Journal of Laryngology & Otology · 1983
An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
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JS Pasricha, Ramji Gupta · Jaypee Brothers Medical Publishers (P) Ltd. eBooks · 2006
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Rose Novick · Cambridge University Press eBooks · 2023
The history of biology is mottled with disputes between two distinct approaches to the organic world: structuralism and functionalism. Their persistence across radical theory change makes them difficult to characterize: the characterization must be abstract enough to capture biologists with diverse theoretical commitments, yet not so abstract as to be vacuous. This Element develops a novel account of structuralism and functionalism in terms of explanatory strategies (Section 2). This reveals the possibility of integrating the two strategies; the explanatory successes of evolutionary-developmental biology essentially depend on such integration (Section 3). Neither explanatory strategy is universally subordinate to the other, though subordination with respect to particular explanatory tasks is possible (Section 4). Beyond structuralism and functionalism, philosophical analysis that centers explanatory strategies can illuminate conflicts within evolutionary theory more generally (Section 5).
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Garsamo, Melaku · Figshare · 2021
The first part of my thesis research is focused on the role of Cullin-Associated NEDD8 Dissociated Protein 1 (CAND1) in Arabidopsis reproductive organ development. CAND1 is one of the key regulators of the SKP1-CUL1/RBX1-F-BOX (SCF) complex. Akin to an exchange factor, CAND1 functions by increasing the Koff of F-box proteins and facilitating the recycling of the limited Cullin-scaffold. The importance of CAND1 in recycling the Cullin-scaffold has led to the synthesis of adaptive exchange hypothesis. Adaptive exchange hypothesizes that cells lacking CAND1 are not adapted well to handle larger pool of F-BOX proteins. In support of this hypothesis, a recent study illustrated that CAND-deficient cells died upon F-BOX overexpression. However, the wild type cells remained viable. In view of this, the first portion of my thesis was focused on testing the adaptive exchange hypothesis. Our study found that there was a pollen death in Arabidopsis cand1-3 homozygous mutant. In addition, bioinformatics analysis showed that there is a relatively higher F-BOX protein transcript pool compared to all the tissues analyzed. These results are consistent with the notion of the adaptive exchange hypothesis. <br>The second portion of my thesis research is focused on understanding the dynamics of Arabidopsis SCF E3 ligase protein complex. Dynamics of protein complexes could be studied by performing protein-protein interactions (PPI) assays. However, no study till date has expressed and purified Arabidopsis SCF E3 ligase core proteins to perform PPI assays. Therefore, my aim for the second portion of my thesis was to express, purify, and obtain the structure of Arabidopsis SCF core proteins. As such, I was able to successfully express, and purify Arabidopsis CAND1-CUL1/RBX1 protein complex. <br>
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2001
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Viral Capsids · 2015
Virus particles contain the viral genome packaged in a protein coat, called a capsid, and sometimes a lipid coat called the envelope. These structures play many roles in viral infection, including virus entry into cells and spread from one cell to another.
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Michael H. Schwartz (3310614), Katherine M. Steele (4246015), Andrew J. Ries (14307757) et al. · Figshare · 2022
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National Cancer Institute · Definitions · 2020
Ope n Pe e r v ie w on Qe ios
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Janice Voltzow · Developments in aquaculture and fisheries science · 2023
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И. В. Голубцов, K. M. Михайлов · Repository of Belarusian National Technical University (Belarusian National Technical University) · 2020
Выбирая структуру организации для своей компании, необходимо учитывать необходимость контроля. С учетом возможности и полноты контроля могут реализовываться различные сценарии управления. В данной статье типы организационных структур рассмотрены с точки зрения возможностей контроля работы исполнителей.
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Of Eukaryotic Ribonucleas, Norman R. Pace · 2006
ebacterial and archaeal versions in both protein composi-tion and RNA structure. In vivo, the bacterial RNase of the RNase P RNA. The bacterial RNase P RNAs bindP RNA is associated with a single protein. The archaeal and eukaryal holoenzymes are more complex and con-tain at least four and nine proteins, respectively (Cham-berlain et al., 1998; Hall and Brown, 2002; Jarrous, 2002; mature tRNA almost as tightly as precursor tRNAs (Reich et al., 1988), so we reasoned by homology that the eukaryal RNA would do so as well, if capable of specific binding. 32P-labeled mature Bacillus subtilis tRNAAsp was synthesized by transcription in the pres-
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Raymond T. Bauer · Fish & fisheries series/Fish and fisheries series (Print) · 2023
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Sarah Feldt Muldoon (3112515), Fabio Pasqualetti (3112524), Shi Gu (3112518) et al. · Figshare · 2016
<p>(<b>a</b>) Structural and functional effect values for stimulation of individual brain regions sorted into 9 cognitive systems. Colored ellipses are centered on the mean structural and functional effects for a given cognitive system and the major and minor axis of the ellipse represent the standard error of the mean for the associated system. (<b>b</b>) Same as <i>(a)</i> but data is further course grained into 4 cognitive system types as in [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1005076#pcbi.1005076.ref036" target="_blank">36</a>]. The colored regions indicate the convex hull surrounding the data points associated with the given system. Simulations, and calculations were performed for each of the three scans for each subject and the data points reflect values averaged over both scans and individuals. (<b>c</b>) Average density of connections within and between the four cognitive system types. Colors correspond to system assignments in <i>(b)</i> and dark shades represent the average density of connections between regions within a single cognitive system while light shades represent the average density of connections between regions within that system and regions outside of the system.</p>
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Science s STKE · 2002
Many ligand-gated ion channels that are activated upon binding to neurotransmitter molecules become inactivated, or desensitized, shortly after the transmembrane pore of the channel opens. This phenomenon is particularly important in fast chemical synapses of the nervous system where the alpha-amino-3-hydroxy-5-methyl-4-isoxazole propionic (AMPA) and kainate-type glutamate receptors desensitize in milliseconds. However, it has not been clear how desensitization occurs when agonists are still tightly associated with the receptor. Su et al. provide some structural insight into the coupling of activation and desensitization of the GluR2-type AMPA receptor. The receptor consists of four transmembrane subunits, and glutamate-binding pockets are formed at dimer interfaces. Isolated glutamate-binding regions of the AMPA receptor showed less of a tendency to dimerize than did a form harboring a mutation known to block desensitization. A mutation that accelerates desensitization reduced dimer affinity. The authors explain this inverse correlation by proposing that a conformation change in the ligand-binding pocket may induce a conformational change within the transmembrane domains that forces the ion channel to open. However, the tension generated stimulates a subsequent conformational change in the ligand-binding region to relieve this tension. This uncouples the ligand-binding region from the channel region and permits the ligand-associated desensitized state. Hence, the interface between dimer subunits appears to control receptor activation and desensitization. Although structural and functionally similar to AMPA receptor, it has not been clear whether neuronal kainate receptors exhibit conductance properties that reflect increasing amounts of individual subunit activation, as seen with AMPA receptors. Through site-directed mutagenesis and use of a high-affinity agonist, Swanson et al. demonstrate that kainate receptors comprising GluR5 and KA-2 subunits do behave like AMPA receptors in that there are indeed subunit-associated conductances. The authors identify high- and low-affinity agonist-binding sites on the GluR5 and KA-2 subunits, respectively, Occupation of two pharmacologically separable ligand-binding sites may underlie the complex channel sensitivities and activation and desensitization kinetics displayed by these heteromeric glutamate channels. Y. Sun, R. Olsom, M. Horning, N. Armstrong, M. Mayer, E. Gouaux, Mechanism of glutamate receptor desensitization. Nature 417 , 245-253 (2002). [Online Journal] G.T. Swanson, T. Green, R. Sakai, A. Contractor, W. Che, H. Kamiya, S.F. Heinemann, Differential activation of individual subunits in heteromeric kainate receptors. Neuron 34 , 589-598 (2002). [Online Journal]
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2023
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Golia Shafiei (3191169), Sylvain Baillet (273036), Bratislav Misic (6714833) · Figshare · 2022
<p>Structure–function coupling was estimated as the Spearman rank correlation (<i>r</i><sub><i>s</i></sub>) between regional structural and functional connectivity profiles [<a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3001735#pbio.3001735.ref080" target="_blank">80</a>]. The cross-modal <i>R</i><sup>2</sup> map (i.e., regional model fit) is then compared with the structure–function coupling across the cortex. The data and code needed to generate this figure can be found in <a href="https://github.com/netneurolab/shafiei_megfmrimapping" target="_blank">https://github.com/netneurolab/shafiei_megfmrimapping</a> and <a href="https://zenodo.org/record/6728338" target="_blank">https://zenodo.org/record/6728338</a>.</p> <p>(TIFF)</p>
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Sahil Bajaj (586159), Bhim Mani Adhikari (586160), Mukesh Dhamala (134980) · Figshare · 2015
<p>The maximum in-flow and number of fibers for all the regions have been plotted: (A) the maximum in-flow at slow-3 (blue bars) averaged over all participants for each region and corresponding number of fibers (red bars) averaged over all participants for the corresponding regions, and (B) a positive significant linear relation between the in-out flow at slow-3 and the number of fibers connecting all four regions in 6 participants who underwent both DTI and fMRI scanning.</p>
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