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A framework for computational and experimental methods: identifying dimerization residues in CCR chemokine receptors.
de Juan, David; Mellado, Mario; Rodriguez-Frade, Jose Miguel et al.
2005In Bioinformatics, 21 Suppl 2, p. 13-8
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Keywords :
Amino Acid Sequence; Amino Acids/chemistry/immunology; Binding Sites; Dimerization; Models, Chemical; Models, Immunological; Molecular Sequence Data; Protein Binding; Receptors, CCR5/chemistry/immunology; Sequence Analysis, Protein/methods
Abstract :
[en] Solving relevant biological problems requires answering complex questions. Addressing such questions traditionally implied the design of time-consuming experimental procedures which most of the time are not accessible to average-sized laboratories. The current trend is to move towards a multidisciplinary approach integrating both theoretical knowledge and experimental work. This combination creates a powerful tool for shedding light on biological problems. To illustrate this concept, we present here a descriptive example of where computational methods were shown to be a key aspect in detecting crucial players in an important biological problem: the dimerization of chemokine receptors. Using evolutionary based sequence analysis in combination with structural predictions two CCR5 residues were selected as important for dimerization and further validated experimentally. The experimental validation of computational procedures demonstrated here provides a wealth of valuable information not obtainable by any of the individual approaches alone.
Disciplines :
Life sciences: Multidisciplinary, general & others
Author, co-author :
de Juan, David
Mellado, Mario
Rodriguez-Frade, Jose Miguel
Hernanz-Falcon, Patricia
Serrano, Antonio
del Sol Mesa, Antonio ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
Valencia, Alfonso
Martinez-A, Carlos
Rojas, Ana Maria
Language :
English
Title :
A framework for computational and experimental methods: identifying dimerization residues in CCR chemokine receptors.
Publication date :
11 March 2005
Journal title :
Bioinformatics
ISSN :
1367-4803
eISSN :
1367-4811
Volume :
21 Suppl 2
Pages :
ii13-8
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 03 September 2014

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