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Detalle de: The Crystal Structure of Fibroblast Growth Factor (FGF) 19 Reveals Novel Features of the FGF Family and Offers a Structural Basis for Its Unusual Receptor Affinity

Title The Crystal Structure of Fibroblast Growth Factor (FGF) 19 Reveals Novel Features of the FGF Family and Offers a Structural Basis for Its Unusual Receptor Affinity
Abstract

The 22 members of the FGF family have been implicated in cell proliferation, differentiation, survival, and migration. They are required for both development and maintenance of vertebrates, demonstrating an exquisite pattern of affinities for both protein and proteoglycan receptors. FGF19, one of the most divergent human FGFs, is unique in binding solely to one receptor, FGFR4. We have used molecular replacement to solve the crystal structure of FGF19 at 1.3 A resolution using five superimposed FGF structures as the search model. The structure shows that two novel disulfide bonds found in FGF19, one of which appears to be conserved among several of the other FGFs, stabilize extended loops. The key heparin-binding loops of FGF19 have radically different conformations and charge patterns, compared to other FGFs, correlating with the unusually low affinity of FGF19 for heparin. A model for the complex of FGF19 with FGFR4 demonstrates that unique sequences in both FGF19 and FGFR4 are key to the formation of the complex. The structure therefore offers a clear explanation for the unusual affinity of FGF19 for FGFR4 alone.

Apa Reference Harmer, N. J., Pellegrini, L., Chirgadze, D., Fernandez-Recio, J., & Blundell, T. L. (2003). The Crystal Structure of Fibroblast Growth Factor (FGF) 19 Reveals Novel Features of the FGF Family and Offers a Structural Basis for Its Unusual Receptor Affinity,. Biochemistry, 43(3), 629–640. 10.1021/bi035320k
Doi 10.1021/bi035320k
Publication Date 25 Dec 2003
Publication Type Article
Researcher Juan Fernández Recio
Ontology Structural bioinformatics, Experimental structure determination, Structure-function relationship, Behavioral Ecology
Research Groups Structural Bioinformatics, Modeling and Biological Mechanisms
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