A computer screening approach to immunoglobulin superfamily structures and interactions: Discovery of small non-peptidic CD4 inhibitors as novel immunotherapeutics
Author(s) -
Li Song,
Jimin Gao,
Takashi Satoh,
Thea M. Friedman,
Andrea E. Edling,
Ute Koch,
Swati Choksi,
Xiaobing Han,
Robert Korngold,
Ziwei Huang
Publication year - 1997
Publication title -
proceedings of the national academy of sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.011
H-Index - 771
eISSN - 1091-6490
pISSN - 0027-8424
DOI - 10.1073/pnas.94.1.73
Subject(s) - immunoglobulin superfamily , computational biology , superfamily , antibody , chemistry , drug discovery , biology , biochemistry , genetics , receptor
The interaction between CD4 and major histocompatibility complex (MHC) class II proteins is critical for the activation of CD4+ T cells, which are involved in transplantation reactions and a number of autoimmune diseases. In this study we have identified a CD4 surface pocket as a functional epitope implicated in CD4–MHC class II interaction and T-cell activation. A computer-based strategy has been used to screen ≈150,000 non-peptidic organic compounds in a molecular data base and to identify a group of compounds as ligands of the proposed CD4 surface pocket. These small organic compounds have been shown to specifically block stable CD4–MHC class II binding, and exhibit significant inhibition of immune responses in animal models of autoimmune disease and allograft transplant rejection, suggesting their potential as novel immunosuppressants. This structure-based computer screening approach may have general implications for studying many immunoglobulin-like structures and interactions that share similar structural features. Furthermore, the results from this study have demonstrated that the rational design of small non-peptidic inhibitors of large protein–protein interfaces may indeed be an achievable goal.
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