HIV - EpiVax, Inc. - Informatics and Immunology

Two novel T cell epitope prediction algorithms based on MHC-binding motifs; comparison of predicted and published epitopes from Mycobacterium tuberculosis and HIV protein sequences

Two novel T cell epitope prediction algorithms based on MHC-binding motifs; comparison of predicted and published epitopes from Mycobacterium tuberculosis and HIV protein sequences

by epivax3 | Oct 22, 2016

Vaccine 1995, Vol. 13, No. 6, pp. 581-591.

Prediction of HIV peptide epitopes by a novel algorithm

Prediction of HIV peptide epitopes by a novel algorithm

by epivax3 | Oct 22, 2016

AIDS Research and Human Retroviruses, 1996, Vol. 12, No. 7, pp. 593-610.

An interactive Web site providing major histocompatibility ligand predictions: application to HIV research

An interactive Web site providing major histocompatibility ligand predictions: application to HIV research

by epivax3 | Oct 22, 2016

AIDS Res Hum Retroviruses. 1997 May 1; 13(7):529-31.

Prediction of well-conserved HIV-1 ligands using a Matrix-based Algorithm, EpiMatrix

Prediction of well-conserved HIV-1 ligands using a Matrix-based Algorithm, EpiMatrix

by epivax3 | Oct 22, 2016

Vaccine, 1998, Vol. 16, No. 19, pp. 1880-1884.

Identification of subdominant cytotoxic T lymphocyte epitopes encoded by autologous HIV type 1 sequences, using dendritic cell stimulation and computer-driven algorithm

Identification of subdominant cytotoxic T lymphocyte epitopes encoded by autologous HIV type 1 sequences, using dendritic cell stimulation and computer-driven algorithm

by epivax3 | Oct 22, 2016

IDS Res Hu Retroviruses Vol 16, No.1, pp. 67-76, January 2000.

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