Intermolecular Interaction Study of Dissimilatory Sulfite Reductase (DsrAB) from Sulfur Oxidizing Proteobacteria Allchromatium vinosum

2015 ◽  
pp. 19-27 ◽  
Author(s):  
Semanti Ghosh ◽  
Angshuman Bagchi
Keyword(s):  
Intermolecular Interaction ◽  
Sulfite Reductase ◽  
Interaction Study ◽  
Dissimilatory Sulfite Reductase ◽  
Sulfur Oxidizing

scholarly journals Reverse dissimilatory sulfite reductase as phylogenetic marker for a subgroup of sulfur-oxidizing prokaryotes

2009 ◽  
Vol 11 (2) ◽  
pp. 289-299 ◽  
Author(s):  
Alexander Loy ◽  
Stephan Duller ◽  
Christian Baranyi ◽  
Marc Mußmann ◽  
Jörg Ott ◽  
...  
Keyword(s):  
Sulfite Reductase ◽  
Phylogenetic Marker ◽  
Dissimilatory Sulfite Reductase ◽  
Sulfur Oxidizing

scholarly journals Coupling of Functional Gene Diversity and Geochemical Data from Environmental Samples

2004 ◽  
Vol 70 (11) ◽  
pp. 6525-6534 ◽  
Author(s):  
A. V. Palumbo ◽  
J. C. Schryver ◽  
M. W. Fields ◽  
C. E. Bagwell ◽  
J.-Z. Zhou ◽  
...  
Keyword(s):  
Organic Carbon ◽  
Small Sample ◽  
Geochemical Data ◽  
Sulfite Reductase ◽  
Model Parameters ◽  
Generalization Error ◽  
Sample Sizes ◽  
Dissimilatory Sulfite Reductase ◽  
Small Sample Sizes ◽  
Error Weight

ABSTRACT Genomic techniques commonly used for assessing distributions of microorganisms in the environment often produce small sample sizes. We investigated artificial neural networks for analyzing the distributions of nitrite reductase genes (nirS and nirK) and two sets of dissimilatory sulfite reductase genes (dsrAB 1 and dsrAB 2) in small sample sets. Data reduction (to reduce the number of input parameters), cross-validation (to measure the generalization error), weight decay (to adjust model parameters to reduce generalization error), and importance analysis (to determine which variables had the most influence) were useful in developing and interpreting neural network models that could be used to infer relationships between geochemistry and gene distributions. A robust relationship was observed between geochemistry and the frequencies of genes that were not closely related to known dissimilatory sulfite reductase genes (dsrAB 2). Uranium and sulfate appeared to be the most related to distribution of two groups of these unusual dsrAB-related genes. For the other three groups, the distributions appeared to be related to pH, nickel, nonpurgeable organic carbon, and total organic carbon. The models relating the geochemical parameters to the distributions of the nirS, nirK, and dsrAB 1 genes did not generalize as well as the models for dsrAB 2. The data also illustrate the danger (generating a model that has a high generalization error) of not using a validation approach in evaluating the meaningfulness of the fit of linear or nonlinear models to such small sample sizes.

The dissimilatory sulfite reductase from Desulfosarcina variabilis is a desulforubidin containing uncoupled metalated sirohemes and S = 9/2 iron-sulfur clusters

Biochemistry ◽  
1993 ◽  
Vol 32 (39) ◽  
pp. 10323-10330 ◽  
Author(s):  
Alexander F. Arendsen ◽  
Marc F. J. M. Verhagen ◽  
Ronnie B. G. Wolbert ◽  
Antonio J. Pierik ◽  
Alfons J. M. Stams ◽  
...  
Keyword(s):  
Sulfite Reductase ◽  
Iron Sulfur Clusters ◽  
Dissimilatory Sulfite Reductase ◽  
Iron Sulfur

Dissimilatory Sulfite Reductase

2011 ◽  
Author(s):  
Kristian Parey ◽  
Alexander Schiffer ◽  
Julia Steuber ◽  
Günter Fritz ◽  
Ulrich Ermler ◽  
...  
Keyword(s):  
Sulfite Reductase ◽  
Dissimilatory Sulfite Reductase

Dissimilatory Sulfite Reductase

2010 ◽  
Author(s):  
Kristian Parey ◽  
Alexander Schiffer ◽  
Julia Steuber ◽  
Günter Fritz ◽  
Ulrich Ermler ◽  
...  
Keyword(s):  
Sulfite Reductase ◽  
Dissimilatory Sulfite Reductase
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