HIVbio: HIV Bioinformatics

G.P.S. Raghava | Department of Computational Biology | IMTECH | Developers | Contact
General Information
 Home HIVbio
HIV Genome
 HIV Proteome
 HIV Life Cycles
 HIV Imp Enzymes

Important Terms
 HIV Coreceptors
  HIV Tropism
  Structural Landmarks
  Important Databases

AIDS: Therapies
  Drugs : HAART
  Drug Resistance
 Protein-Proteins
 miRNA/siRNA
 Therapeutics and Vaccines

Miscellaneous
 Bioinformatics Approach
  Coreceptor Predictions
 Slides (PPT/PDF)
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Coreceptors of HIV and Prediction

HIV, in its very first stage of "Attachment" to Human T cells uses CD4 as its primary receptor which binds to its surface glycoprotein gp120. After this binding certain conserved regions of gp120 protein interacts with chemokine receptors either CCR5 or CXCR4. Professor are engaged actively in using these coreceptors as potential drug targets for inhibiting HIV infection and propagation. Bioinformatics approaches has been used to predicts the Coreceptor usage:
Bioinformatic prediction of coreceptor usage
HIV-1 coreceptor usage prediction without multiple alignments
Prediction of R5, X4, and R5X4 HIV-1 coreceptor Usage with evolved Neural Networks
A Reliable Phenotype Predictor for Human Immunodeficiency Virus Type 1 Subtype C Based on Envelope V3 Sequences
Improved success of phenotype prediction of the human immunodeficiency virus type 1 from envelope variable loop 3 sequence using neural networks
Predicting HIV-1 Coreceptor Usage with Sequence Analysis
Evaluation of Eight Different Bioinformatics Tools To Predict Viral Tropism in Different Human Immunodeficiency Virus Type 1 Subtype
Determining Human Immunodeficiency Virus Coreceptor Use in a Clinical Setting: Degree of Correlation between Two Phenotypic Assays and a Bioinformatic Model
Change in coreceptor use correlates with disease progression in HIV-1--infected individuals
Structural descriptors of gp120 V3 loop for the prediction of HIV-1 coreceptor usage