Using synthetic biology to screen for functional diversity of GH1 enzymes

Using synthetic biology to screen for functional diversity of GH1 enzymes [electronic resource]

Advances in next-generation sequencing technologies have enabled single genomes as well as complex environmental samples (metagenomes) to be comprehensively sequenced on a routine basis. Bioinformatics analysis of the resulting sequencing data reveals a continually expanding catalogue of predicted p...

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Bibliographic Details
Online Access: Online Access
Corporate Author: Lawrence Berkeley National Laboratory (Researcher)
Format: Government Document Electronic eBook
Language:English
Published: Berkeley, Calif. : Oak Ridge, Tenn. : Lawrence Berkeley National Laboratory ; distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2011.
Subjects:
Biology.
Transformations.
Carbon.
Biomass.
Polymers.
Enzymes.
Screens.
Proteins.
Lipids.
Bioremediation.
Functionals.
Production.
Biomass Fuels.
General And Miscellaneous//mathematics, Computing, And Information Science.
Description
Summary:Advances in next-generation sequencing technologies have enabled single genomes as well as complex environmental samples (metagenomes) to be comprehensively sequenced on a routine basis. Bioinformatics analysis of the resulting sequencing data reveals a continually expanding catalogue of predicted proteins ( 14 million as of April 2011), 75 percent of which are associated with functional annotation (COG, Pfam, Enzyme, Kegg, etc). These predicted proteins cover the full spectrum of known pathways and functional activities, including many novel biocatalysts that are expected to significantly contribute to the development of clean technologies including biomass degradation, lipid transformation for biodiesel generation, intermediates for polymer production, carbon capture, and bioremediation.
Synthetic Biology, Bioinformatics, Gh1 Enzymes.
Item Description:Published through the Information Bridge: DOE Scientific and Technical Information.
05/31/2011.
"lbnl-4786e-poster"
Strategic BioSciences Review, Berkeley, CA, 4/26-27/2011.
Chivian, Dylan; Hamilton, Matthew; Datta, Supratim; Rubin, Eddy; Simmons, Blake; Deutsch, Sam; Friedland, Greg; D'Haeseleer, Patrik; Chen, Jan-Fang; Egan, Rob; Sale, Kenneth.
Genomics Division.
Physical Description:1 : digital, PDF file.

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