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Genome3D: exploiting structure to help users understand their sequences

delete2014-10-27
delete34
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OA
AI
T
Tony E. Lewis
I
Ian Sillitoe *
A
Antonina Andreeva
T
Tom L. Blundell
D
Daniel Buchan
C
Cyrus Chothia
D
Domenico Cozzetto
J
Jose M Dana
I
Ioannis Filippis
J
Julian Gough
D
David T. Jones
L
Lawrence A. Kelley
G
Gerard J. Kleywegt
F
Federico Minneci
J
Jaina Mistry
A
Alexey G. Murzin
B
Bernardo Ochoa‐Montaño
M
Matt E. Oates
M
Marco Punta
O
Owen J. L. Rackham
J
Jonathan Stahlhacke
M
Michael J.E. Sternberg
S
Sameer Velankar
C
Christine Orengo
DOI:10.1093/nar/gku973delete
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Abstract

Abstract

En 中文
Genome3D (http://www.genome3d.eu) is a collaborative resource that provides predicted domain annotations and structural models for key sequences. Since introducing Genome3D in a previous NAR paper, we have substantially extended and improved the resource. We have annotated representatives from Pfam families to improve coverage of diverse sequences and added a fast sequence search to the website to allow users to find Genome3D-annotated sequences similar to their own. We have improved and extended the Genome3D data, enlarging the source data set from three model organisms to 10, and adding VIVACE, a resource new to Genome3D. We have analysed and updated Genome3D's SCOP/CATH mapping. Finally, we have improved the superposition tools, which now give users a more powerful interface for investigating similarities and differences between structural models.
Keywords:
PROTEIN
SUPERFAMILY
RECOGNITION
SCOP
CATH
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Journal

Nucleic Acids Research cover
Nucleic Acids Research
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