| Mining of genomic databases to identify novel biodesulfurizing microorganisms. | |
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MedLine Citation:
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PMID: 20174959 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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The commercialization of the biocatalytic desulfurization process does not seem to be realistic in the near future because of the low desulfurization rate of the known microorganisms. Hence, the future development will depend on either genetically modifying the currently available bacteria or identifying novel biodesulfurizers. In this study an in silico method to identify new biodesulfurizing microorganisms was adopted. By screening the available genomic databases, 13 novel desulfurizing microorganisms belonging to 12 genera were identified. Several of these could be of immense utility as they have both environment pollutant and industrial waste degrading capability. |
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Authors:
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Sumedha Bhatia; Durlubh K Sharma |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't Date: 2010-02-20 |
Journal Detail:
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Title: Journal of industrial microbiology & biotechnology Volume: 37 ISSN: 1476-5535 ISO Abbreviation: J. Ind. Microbiol. Biotechnol. Publication Date: 2010 Apr |
Date Detail:
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Created Date: 2010-03-16 Completed Date: 2010-06-01 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9705544 Medline TA: J Ind Microbiol Biotechnol Country: England |
Other Details:
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Languages: eng Pagination: 425-9 Citation Subset: IM |
Affiliation:
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Center for Energy Studies, Indian Institute of Technology Delhi, Hauz Khas, New Delhi 110016, India. |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Bacteria
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genetics*,
metabolism Data Mining Genomics / methods* Metabolic Networks and Pathways / genetics Sulfuric Acid Esters / metabolism* Thiophenes / metabolism |
| Chemical | |
Reg. No./Substance:
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0/Sulfuric Acid Esters; 0/Thiophenes; 132-65-0/dibenzothiophene |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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