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PDBsum entry 1mif
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* Residue conservation analysis
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References listed in PDB file
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Key reference
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Title
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Crystal structure at 2.6-A resolution of human macrophage migration inhibitory factor.
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Authors
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H.W.Sun,
J.Bernhagen,
R.Bucala,
E.Lolis.
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Ref.
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Proc Natl Acad Sci U S A, 1996,
93,
5191-5196.
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PubMed id
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Abstract
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Macrophage migration inhibitory factor (MIF) was the first cytokine to be
described, but for 30 years its role in the immune response remained enigmatic.
In recent studies, MIF has been found to be a novel pituitary hormone and the
first protein identified to be released from immune cells on glucocorticoid
stimulation. Once secreted, MIF counterregulates the immunosuppressive effects
of steroids and thus acts as a critical component of the immune system to
control both local and systemic immune responses. We report herein the x-ray
crystal structure of human MIF to 2.6 angstrom resolution. The protein is a
trimer of identical subunits. Each monomer contains two antiparallel
alpha-helices that pack against a four-stranded beta-sheet. The monomer has an
additional two beta-strands that interact with the beta-sheets of adjacent
subunits to form the interface between monomers. The three beta-sheets are
arranged to form a barrel containing a solvent-accessible channel that runs
through the center of the protein along a molecular 3-fold axis. Electrostatic
potential maps reveal that the channel has a positive potential, suggesting that
it binds negatively charged molecules. The elucidated structure for MIF is
unique among cytokines or hormonal mediators, and suggests that this
counterregulator of glucocorticoid action participates in novel ligand-receptor
interactions.
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Secondary reference #1
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Title
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The subunit structure of human macrophage migration inhibitory factor: evidence for a trimer.
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Authors
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H.W.Sun,
M.Swope,
C.Cinquina,
S.Bedarkar,
J.Bernhagen,
R.Bucala,
E.Lolis.
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Ref.
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Protein Eng, 1996,
9,
631-635.
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PubMed id
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Note In the PDB file this reference is
annotated as "TO BE PUBLISHED".
The citation details given above were identified by an automated
search of PubMed on title and author
names, giving a
percentage match of
95%.
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