Protein Function in Extremely Acidic Conditions: Molecular Simulations of a Predicted Aquaporin and a Potassium Channel in Acidithiobacillus Ferrooxidans

F. Duarte; R. Araya-Secchi; W. González; T. Perez-Acle; D. González-Nilo; David S. Holmes

doi:10.4028/www.scientific.net/AMR.71-73.211

Paper Titles

Prediction of FNR Regulated Genes and Metabolic Pathways Potentially Involved in Anaerobic Growth of Acidithiobacillus Ferrooxidans
p.195

Regulation of Expression of the PetI Operon Involved in Iron Oxidation in the Biomining Bacterium Acidithiobacillus Ferrooxidans
p.199

Predicting the Function of Hypothetical Genes in Genomes of Bioleaching Microorganisms
p.203

Gene Organization and CO₂-Responsive Expression of Four cbb Operons in the Biomining Bacterium Acidithiobacillus Ferrooxidans
p.207

Protein Function in Extremely Acidic Conditions: Molecular Simulations of a Predicted Aquaporin and a Potassium Channel in Acidithiobacillus Ferrooxidans
p.211

Genomic Lessons from Biomining Organisms: Case Study of the Acidithiobacillus Genus
p.215

Predicted CO/CO₂ Fixation in Ferroplasma spp. via a Novel Chimaeric Pathway
p.219

C-di-GMP Pathway in Biomining Bacteria
p.223

Differential Gene Expression of Industrial Bioleaching Transcriptomes by Leptospirillum Ferrooxidans DNA Microarray
p.227

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 71-73Protein Function in Extremely Acidic Conditions:...

Protein Function in Extremely Acidic Conditions: Molecular Simulations of a Predicted Aquaporin and a Potassium Channel in Acidithiobacillus Ferrooxidans

Abstract:

We wish to understand how membrane proteins function in extremely acid conditions (

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Periodical:

Advanced Materials Research (Volumes 71-73)

Pages:

211-214

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.71-73.211

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Online since:

May 2009

Authors:

F. Duarte, R. Araya-Secchi, W. González, T. Perez-Acle, D. González-Nilo, David S. Holmes

Keywords:

Acidithiobacillus, Aquaporin, Bioinformatics, Molecular Dynamic (MD), Potassium Channel, Protein Modeling

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References

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