1MT9 image
Deposition Date 2002-09-20
Release Date 2003-01-07
Last Version Date 2024-02-14
Entry Detail
PDB ID:
1MT9
Title:
Viability of a drug-resistant HIV-1 protease mutant: structural insights for better antiviral therapy
Biological Source:
Source Organism:
Human immunodeficiency virus 1 (Taxon ID: 11676)
(Taxon ID: )
Host Organism:
Method Details:
Experimental Method:
Resolution:
2.00 Å
R-Value Free:
0.21
R-Value Work:
0.17
R-Value Observed:
0.17
Space Group:
P 21 21 21
Macromolecular Entities
Polymer Type:polypeptide(L)
Molecule:PROTEASE RETROPEPSIN
Gene (Uniprot):gag-pol
Mutations:Q7K, D25N, L63P, V82A
Chain IDs:A, B
Chain Length:99
Number of Molecules:2
Biological Source:Human immunodeficiency virus 1
Polymer Type:polypeptide(L)
Molecule:p1-p6 Gag substrate decapeptide
Chain IDs:C (auth: P)
Chain Length:10
Number of Molecules:1
Biological Source:
Ligand Molecules
Primary Citation
Viability of drug-resistant human immunodeficiency virus type 1 protease variant: structural insights for better antiviral therapy
J.Virol. 77 1305 1315 (2003)
PMID: 12502847 DOI: 10.1128/JVI.77.2.1306-1315.2003

Abstact

Under the selective pressure of protease inhibitor therapy, patients infected with human immunodeficiency virus (HIV) often develop drug-resistant HIV strains. One of the first drug-resistant mutations to arise in the protease, particularly in patients receiving indinavir or ritonavir treatment, is V82A, which compromises the binding of these and other inhibitors but allows the virus to remain viable. To probe this drug resistance, we solved the crystal structures of three natural substrates and two commercial drugs in complex with an inactive drug-resistant mutant (D25N/V82A) HIV-1 protease. Through structural analysis and comparison of the protein-ligand interactions, we found that Val82 interacts more closely with the drugs than with the natural substrate peptides. The V82A mutation compromises these interactions with the drugs while not greatly affecting the substrate interactions, which is consistent with previously published kinetic data. Coupled with our earlier observations, these findings suggest that future inhibitor design may reduce the probability of the appearance of drug-resistant mutations by targeting residues that are essential for substrate recognition.

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Primary Citation of related structures