Functional inferences from reconstructed evolutionary biology involving rectified databases - an evolutionarily grounded approach to functional genomics

被引:48
|
作者
Benner, SA [1 ]
Chamberlin, SG
Liberles, DA
Govindarajan, S
Knecht, L
机构
[1] Univ Florida, Dept Chem, Gainesville, FL 32611 USA
[2] Univ Florida, Dept Anat & Cell Biol, Gainesville, FL 32611 USA
[3] EraGen Biosci, Alachua, FL 32615 USA
基金
美国国家卫生研究院;
关键词
functional genomics; sequence database; Master Catalog; protein structure prediction; evolution;
D O I
10.1016/S0923-2508(00)00123-6
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
If bioinformatics tools are constructed to reproduce the natural, evolutionary history of the biosphere, they offer powerful approaches to some of the most difficult tasks in genomics, including the organization and retrieval of sequence data, the updating of massive genomic databases, the detection of database error, the assignment of introns, the prediction of protein conformation from protein sequences, the detection of distant homologs, the assignment of function to open reading frames, the identification of biochemical pathways from genomic data, and the construction of a comprehensive model correlating the history of biomolecules with the history of planet Earth. (C) 2000 Editions scientifiques et medicales Elsevier SAS.
引用
收藏
页码:97 / 106
页数:10
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