Premium
Structural genomics: Computational methods for structure analysis
Author(s) -
GoldsmithFischman Sharon,
Honig Barry
Publication year - 2003
Publication title -
protein science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.353
H-Index - 175
eISSN - 1469-896X
pISSN - 0961-8368
DOI - 10.1110/ps.0242903
Subject(s) - structural genomics , genomics , computational biology , comparative genomics , annotation , cluster analysis , computational genomics , genome , computer science , function (biology) , data science , protein structure , biology , artificial intelligence , genetics , gene , biochemistry
The success of structural genomics initiatives requires the development and application of tools for structure analysis, prediction, and annotation. In this paper we review recent developments in these areas; specifically structure alignment, the detection of remote homologs and analogs, homology modeling and the use of structures to predict function. We also discuss various rationales for structural genomics initiatives. These include the structure‐based clustering of sequence space and genome‐wide function assignment. It is also argued that structural genomics can be integrated into more traditional biological research if specific biological questions are included in target selection strategies.