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Adrian K Arakaki

Showing results (1-10 of 14) with videos related to

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Nucleic Acids Research|December 4, 2004
EFICAz: a comprehensive approach for accurate genome-scale enzyme function inferenceWeidong Tian, Adrian K Arakaki, Jeffrey Skolnick
BMC Genomics|December 15, 2006
High precision multi-genome scale reannotation of enzyme function by EFICAzAdrian K Arakaki, Weidong Tian, Jeffrey Skolnick
Bioinformatics (Oxford, England)|February 7, 2004
Large-scale assessment of the utility of low-resolution protein structures for biochemical function assignmentAdrian K Arakaki, Yang Zhang, Jeffrey Skolnick
BMC Bioinformatics|April 14, 2009
EFICAz2: enzyme function inference by a combined approach enhanced by machine learningAdrian K Arakaki, Ying Huang, Jeffrey Skolnick
Proteins|September 28, 2005
TASSER: an automated method for the prediction of protein tertiary structures in CASP6Yang Zhang, Adrian K Arakaki, Jeffrey Skolnick
Nature|November 28, 2008
Marker metabolites can be therapeutic targets as wellAdrian K Arakaki, Jeffrey Skolnick, John F McDonald
Genome Research|June 12, 2003
Multimeric threading-based prediction of protein-protein interactions on a genomic scale: application to the Saccharomyces cerevisiae proteomeLong Lu, Adrian K Arakaki, Hui Lu, et al.
Proceedings of the National Academy of Sciences of the United States of America|October 7, 2009
The continuity of protein structure space is an intrinsic property of proteinsJeffrey Skolnick, Adrian K Arakaki, Seung Yup Lee, et al.
Proceedings of the National Academy of Sciences of the United States of America|February 16, 2006
On the origin and highly likely completeness of single-domain protein structuresYang Zhang, Isaac A Hubner, Adrian K Arakaki, et al.
Bioinformatics (Oxford, England)|January 19, 2010
PSiFR: an integrated resource for prediction of protein structure and functionShashi B Pandit, Michal Brylinski, Hongyi Zhou, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Nucleic Acids Research|December 4, 2004
EFICAz: a comprehensive approach for accurate genome-scale enzyme function inferenceWeidong Tian, Adrian K Arakaki, Jeffrey Skolnick
BMC Genomics|December 15, 2006
High precision multi-genome scale reannotation of enzyme function by EFICAzAdrian K Arakaki, Weidong Tian, Jeffrey Skolnick
Bioinformatics (Oxford, England)|February 7, 2004
Large-scale assessment of the utility of low-resolution protein structures for biochemical function assignmentAdrian K Arakaki, Yang Zhang, Jeffrey Skolnick
BMC Bioinformatics|April 14, 2009
EFICAz2: enzyme function inference by a combined approach enhanced by machine learningAdrian K Arakaki, Ying Huang, Jeffrey Skolnick
Proteins|September 28, 2005
TASSER: an automated method for the prediction of protein tertiary structures in CASP6Yang Zhang, Adrian K Arakaki, Jeffrey Skolnick
Nature|November 28, 2008
Marker metabolites can be therapeutic targets as wellAdrian K Arakaki, Jeffrey Skolnick, John F McDonald
Genome Research|June 12, 2003
Multimeric threading-based prediction of protein-protein interactions on a genomic scale: application to the Saccharomyces cerevisiae proteomeLong Lu, Adrian K Arakaki, Hui Lu, et al.
Proceedings of the National Academy of Sciences of the United States of America|October 7, 2009
The continuity of protein structure space is an intrinsic property of proteinsJeffrey Skolnick, Adrian K Arakaki, Seung Yup Lee, et al.
Proceedings of the National Academy of Sciences of the United States of America|February 16, 2006
On the origin and highly likely completeness of single-domain protein structuresYang Zhang, Isaac A Hubner, Adrian K Arakaki, et al.
Bioinformatics (Oxford, England)|January 19, 2010
PSiFR: an integrated resource for prediction of protein structure and functionShashi B Pandit, Michal Brylinski, Hongyi Zhou, et al.
Pageof 2