Structural symmetry of the extracellular domain of the Cytokine/Growth hormone/Prolactin receptor family and Interferon receptors revealed by Hydrophobic Cluster Analysis
Authors:
- 22 April 1991
- journal article
- research article
- Published by Wiley in FEBS Letters
- Vol. 282 (1) , 26-31
Abstract
Sequence comparison based on Hydrophobic Cluster Analysis procedures shows that the extracellular ≈ 200 amino acids domains of cytokines receptors belonging to the Cytokine/Growth hormone/Prolactin receptor family and to the Interferon one are organized in two homologous subdomains. Further, comparison of the subdomains of 32 independent sequences and of a lot of already recognized homologous domains with data bases could lead to the hypothesis that these ≈ 100 amino acids subdomains could possess the overall fold of the constant immunoglobulin domains and so could belong to the immunoglobulin superfamily.Keywords
This publication has 28 references indexed in Scilit:
- Molecular cloning and expression of an IL-6 signal transducer, gp130Cell, 1990
- Crystal structure of an HIV-binding recombinant fragment of human CD4Nature, 1990
- Hydrophobie cluster analysis reveals duplication in the external structure of human α‐interferon receptor and homology with γ‐interferon receptor external domainFEBS Letters, 1990
- Expression cloning of a receptor for murine granulocyte colony-stimulating factorCell, 1990
- Haemopoietic receptors and helical cytokinesImmunology Today, 1990
- Crystal structure of chaperone protein PapD reveals an immunoglobulin foldNature, 1989
- A novel family of growth factor receptors: A common binding domain in the growth hormone, prolactin, erythropoietin and IL-6 receptors, and the p75 IL-2 receptor β-chainBiochemical and Biophysical Research Communications, 1989
- MANOSK: A graphics program for analyzing and modeling molecular structure and functionsJournal of Molecular Graphics, 1988
- The Immunoglobulin Superfamily—Domains for Cell Surface RecognitionAnnual Review of Immunology, 1988
- Hydrophobic cluster analysis: An efficient new way to compare and analyse amino acid sequencesFEBS Letters, 1987