Abstract
Trans activation response (TAR) region is an RNA target of considerable importance in controlling the replication cycle of the human immunodeficiency virus (HIV). At a transcriptional level, HIV-1 is regulated by means of the interaction between Tat protein and TAR RNA. The TAR-Tat complex is an attractive target for developing novel antiviral drugs. Herein, the recognition modes of 8 structurally different ligands, as mimics of Tat protein, in complex with a TAR RNA are investigated using the DOCK 6.4 flexible docking protocol in association with the newly-implemented scoring function AMBER including solvation implicitly through the generalized Born solvent-accessible surface area (GB/SA) continuum model. The TAR RNA-ligand interactions are further characterized and contrasted using the nature of separate contributions to the stability of the complexes. Several interesting implications for the key challenge, the development of low molecular weight ligands binding to HIV-1 TAR RNA with high affinity and specificity, are discussed.
Keywords: Dock 6.4, HIV-1 TAR RNA, ligand, peptide, recognition, Tat protein, AMBER, TAR-Tat complex, GB/SA, HIV, transcriptional
Medicinal Chemistry
Title: Modeling of HIV-1 TAR RNA-Ligand Complexes
Volume: 7 Issue: 4
Author(s): Petar M. Mitrasinovic, Jyoti S. Tomar, Maya S. Nair and Ritu Barthwal
Affiliation:
Keywords: Dock 6.4, HIV-1 TAR RNA, ligand, peptide, recognition, Tat protein, AMBER, TAR-Tat complex, GB/SA, HIV, transcriptional
Abstract: Trans activation response (TAR) region is an RNA target of considerable importance in controlling the replication cycle of the human immunodeficiency virus (HIV). At a transcriptional level, HIV-1 is regulated by means of the interaction between Tat protein and TAR RNA. The TAR-Tat complex is an attractive target for developing novel antiviral drugs. Herein, the recognition modes of 8 structurally different ligands, as mimics of Tat protein, in complex with a TAR RNA are investigated using the DOCK 6.4 flexible docking protocol in association with the newly-implemented scoring function AMBER including solvation implicitly through the generalized Born solvent-accessible surface area (GB/SA) continuum model. The TAR RNA-ligand interactions are further characterized and contrasted using the nature of separate contributions to the stability of the complexes. Several interesting implications for the key challenge, the development of low molecular weight ligands binding to HIV-1 TAR RNA with high affinity and specificity, are discussed.
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Cite this article as:
M. Mitrasinovic Petar, S. Tomar Jyoti, S. Nair Maya and Barthwal Ritu, Modeling of HIV-1 TAR RNA-Ligand Complexes, Medicinal Chemistry 2011; 7 (4) . https://dx.doi.org/10.2174/157340611796150932
DOI https://dx.doi.org/10.2174/157340611796150932 |
Print ISSN 1573-4064 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-6638 |

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