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Template-based prediction of protein function

delete2015-06-01
delete41
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OA
AI
D
Donald Petrey *
T
T Scott Chen
L
Lei Deng
J
José Ignacio Garzón
H
Howook Hwang
G
Gorka Lasso
H
Hunjoong Lee
A
Antonina Silkov
B
Barry Honig
DOI:10.1016/j.sbi.2015.01.007delete
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摘要

摘要

En 中文
We discuss recent approaches for structure-based protein function annotation. We focus on template-based methods where the function of a query protein is deduced from that of a template for which both the structure and function are known. We describe the different ways of identifying a template. These are typically based on sequence analysis but new methods based on purely structural similarity are also being developed that allow function annotation based on structural relationships that cannot be recognized by sequence. The growing number of available structures of known function, improved homology modeling techniques and new developments in the use of structure allow template-based methods to be applied on a proteome-wide scale and in many different biological contexts. This progress significantly expands the range of applicability of structural information in function annotation to a level that previously was only achievable by sequence comparison.
Keyword:
WEB SERVER
EXPERIMENTAL VALIDATION
BINDING RESIDUES
SITES
SCALE
SPECIFICITY
ANNOTATION
ALGORITHM
NETWORKS
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期刊

Current Opinion in Structural Biology 封面图
Current Opinion in Structural Biology
IF:
7
论文数:
3.8K
被引数:
1.3W

机构

H
Howard Hughes Medical Institute
学者数:
1.2W
论文数: 7.8K
被引数: 6.0W
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