Literature DB >> 14760740

Construction of an artificial receptor protein ("anticalin") based on the human apolipoprotein D.

Martin Vogt1, Arne Skerra.   

Abstract

Human apolipoprotein D (ApoD) is a prominent member of the lipocalin family of proteins and transports arachidonic acid and progesterone in various body fluids. Lipocalins share a structurally conserved beta barrel as their central folding unit, which supports a set of four hypervariable loops that form the entrance to the ligand pocket. Based on this structural pattern ApoD was employed as a scaffold for the combinatorial design of artificial receptor proteins termed anticalins. After randomization of 24 amino acids located within the loop region, several ApoD variants were selected against hemoglobin, a biochemically well-characterized model target, by using bacterial phagemid display and colony screening. One variant, dubbed HbgA, was further investigated by surface plasmon resonance interaction analysis and found to complex hemoglobin specifically and with a dissociation constant of about 2 microM. While our previous work on the structurally related insect bilin-binding protein was focused on the generation of binding activity towards low-molecular-weight ligands, this study demonstrates for the first time that a lipocalin can also be tailored to recognize a protein target. The fact that even a human member of this protein family has now been successfully recruited for anticalin construction opens the possibility for future application of such engineered lipocalins as target-recognition vehicles in medical therapy.

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Year:  2004        PMID: 14760740     DOI: 10.1002/cbic.200300703

Source DB:  PubMed          Journal:  Chembiochem        ISSN: 1439-4227            Impact factor:   3.164


  10 in total

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2.  Solubility engineering and crystallization of human apolipoprotein D.

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Review 8.  The application of Tet repressor in prokaryotic gene regulation and expression.

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10.  LipocalinPred: a SVM-based method for prediction of lipocalins.

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Journal:  BMC Bioinformatics       Date:  2009-12-24       Impact factor: 3.169

  10 in total

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