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In Silico Mutational Analysis and Drug Interaction Studies of HIV Reverse Transcriptase
Author(s) -
Rajasekhar Pinnamaneni,
N Anil,
Kondeti Subramanyam,
M. Thirumavalavan,
Koona Subramanyam
Publication year - 2012
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/8164-1386
Subject(s) - in silico , reverse transcriptase , computer science , human immunodeficiency virus (hiv) , computational biology , virology , biology , genetics , rna , gene
Human immunodeficiency virus is a retrovirus that causes acquired immunodeficiency syndrome, a condition in humans in which the immune system begins to fail, leading to life threatening opportunistic infections. Reverse transcriptase inhibitors are class of antiretroviral drugs used to treat HIV infection. RTIs inhibit activity of reverse transcriptase, a viral DNA polymerase enzyme that HIV needs to replace. Protein P04585|POL_HV1H2 Gag-Pol polyprotein - Human immunodeficiency virus type 1 (isolate HXB2 group M subtype B) (HIV-1) was docked with RTIs and thebfree energies of the docking complexes were analyzed. It was concluded that M184V mutations has least impact than that of other mutations and Y115F mutation has great impact on the drug interaction with Abcavir. This has to be correlated with the real effect on the patients. This serves a best model for evaluating the impact of mutations in changing the folding of protein and further its effect on the inhibition. This is shown by superimposing the wild type structures and mutant structures.

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