2013
DOI: 10.20537/2076-7633-2013-5-4-737-747
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Homology modeling of the spatial structure of HydSL hydrogenase from purple sulphur bacterium Thiocapsa roseopersicina BBS

Abstract: Получено 6 марта 2013 г., после доработки 1 июля 2013 г.В данной работе представлены модели железоникелевой гидрогеназы HydSL пурпурной серной бактерии Thiocapsa roseopersicina BBS. Показано, что полученные модели обладают более высоким уровнем доверия по сравнению с опубликованными ранее; впервые получена полноразмерная модель HydSL-гидрогеназы. Показана свободная ориентация С-концевого фрагмента малой субъединицы относительно основной белковой глобулы. Показано, что у термостабильной гидрогеназы HydSL Alloch… Show more

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Cited by 4 publications
(6 citation statements)
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“…The most possible elec tron transfer process from the hydrogenase could occur in the negatively charged site closest to the distal FeS clus ter (residues D247, E363, and E366); another site (residues D223, Y225, and Y277) is situated farther from the FeS cluster, thus the electron transfer to the methyl viologen at this site is less possible. 2) Peptides K 20 and K(KLK) 6 K are also capable of binding to these sites, which proves the competitive mechanism of inhibition of methyl viologen reduction by these polycations (Fig. 4, a and b).…”
Section: Resultsmentioning
confidence: 62%
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“…The most possible elec tron transfer process from the hydrogenase could occur in the negatively charged site closest to the distal FeS clus ter (residues D247, E363, and E366); another site (residues D223, Y225, and Y277) is situated farther from the FeS cluster, thus the electron transfer to the methyl viologen at this site is less possible. 2) Peptides K 20 and K(KLK) 6 K are also capable of binding to these sites, which proves the competitive mechanism of inhibition of methyl viologen reduction by these polycations (Fig. 4, a and b).…”
Section: Resultsmentioning
confidence: 62%
“…We proposed that K 20 and K(KLK) 6 K are α helical molecules. To check the reasonability of this assumption, we predicted the secondary structure of these peptides by the hierarchical neural network method [19] on the Pole BioInformatique Lyonnais server [20].…”
Section: Resultsmentioning
confidence: 99%
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