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Assessment of Immunologically Relevant Dynamic Tertiary Structural Features of the HIV-1 V3 Loop Crown R2 Sequence by ab initio Folding
Published on: September 16, 2010
BiP-binding sequences in HIV gp160. Implications for the binding specificity of bip
1Institut für Biophysik & Physikalische Biochemie, Universität Regensburg, 93040 Regensburg, Germany.
The Journal of Biological Chemistry
|October 9, 1999
Summary
Researchers identified specific binding sites on the human immunodeficiency virus type 1 envelope glycoprotein gp160 that interact with BiP, a molecular chaperone. This finding suggests a conserved role for BiP in viral protein folding.
Area of Science:
- Molecular Biology
- Virology
- Protein Chemistry
Background:
- BiP (Binding immunoglobulin Protein) is an endoplasmic reticulum-resident molecular chaperone belonging to the HSP70 family.
- BiP interacts with various newly synthesized proteins, including viral glycoproteins like HIV-1 gp160, during their endoplasmic reticulum transit.
Purpose of the Study:
- To identify specific BiP-binding sites within the human immunodeficiency virus type 1 envelope glycoprotein gp160.
- To investigate the role of these binding sites in mediating the association between gp160 and BiP.
Main Methods:
- Utilized a computational algorithm to predict potential BiP-binding sites in the primary sequence of gp160.
- Synthesized 22 heptapeptides corresponding to predicted sites.
- Assessed peptide binding to BiP by measuring stimulation of BiP's ATPase activity and competition with an unfolded polypeptide.
Main Results:
- Approximately half of the tested synthetic peptides were confirmed to be recognized by BiP.
- All identified BiP-binding sites are located within conserved regions of gp160.
- This suggests a conserved function for BiP in the folding of gp160.
Conclusions:
- Specific regions within HIV-1 gp160 are recognized by the molecular chaperone BiP.
- The conserved nature of these binding sites implies a crucial and conserved role for BiP in gp160 folding.
- Findings contribute to refining BiP-binding prediction algorithms and understanding HSP70 family specificities.
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