1,721,003 research outputs found
The crystal structure of saporin SO6, a ribosome inactivating protein from Saponaria officinalis
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The 3-D structure of PGIP (Polygalacturonase inhibiting protein), a leucine-rich repeat protein involved in plant defence
No full textPolygalacturonase inhibiting proteins: players in plant innate immunity?
No full textPolygalacturonase-inhibiting proteins (PGIPs) are extracellular leucine-rich repeat (LRR) proteins that recognize and inhibit fungal polygalacturonases (PGs). The PG-PGIP interaction favours the accumulation of elicitor-active oligogalacturonides and causes the activation of defence responses. Small gene families encode PGIP isoforms that differ in affinity and specificity for PGs secreted by different pathogens. The consensus motif within the LRR structure of PGIPs is the same as that of the extracellular receptors of the plant innate immune system. Structural and functional evidence suggest that PGIPs are versatile proteins involved in innate immunity and that they are capable of recognizing different surface motifs of functionally related but structurally variable PGs
Crystallization and preliminary X-ray study of saporin, a Ribosome Inactivating Protein from Saponaria officinalis
No full textCrystallization and preliminary X-ray diffraction study of the Endopolygalacturonase from Fusarium Moniliforme
No full textPolygalacturonase-inhibiting protein (PGIP) in plant defence: a structural view
No full textPolygalacturonase-inhibiting proteins are plant extracellular leucine-rich repeat proteins that specifically bind and inhibit fungal polygalacturonases. The interaction with PGIP limits the destructive potential of polygalacturonases and might trigger the plant defence responses induced by oligogalacturonides. A high degree of polymorphism is found both in PGs and PGIPs, accounting for the specificity of different plant inhibitors for PGs from different fungi. Here, we review the structural features and our current understanding of the PG-PGIP interaction
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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