PMID- 29084996 OWN - NLM STAT- MEDLINE DCOM- 20190701 LR - 20190701 IS - 2045-2322 (Electronic) IS - 2045-2322 (Linking) VI - 7 IP - 1 DP - 2017 Oct 30 TI - Host genotype and time dependent antigen presentation of viral peptides: predictions from theory. PG - 14367 LID - 10.1038/s41598-017-14415-8 [doi] LID - 14367 AB - The rate of progression of HIV infected individuals to AIDS is known to vary with the genotype of the host, and is linked to their allele of human leukocyte antigen (HLA) proteins, which present protein degradation products at the cell surface to circulating T-cells. HLA alleles are associated with Gag-specific T-cell responses that are protective against progression of the disease. While Pol is the most conserved HIV sequence, its association with immune control is not as strong. To gain a more thorough quantitative understanding of the factors that contribute to immunodominance, we have constructed a model of the recognition of HIV infection by the MHC class I pathway. Our model predicts surface presentation of HIV peptides over time, demonstrates the importance of viral protein kinetics, and provides evidence of the importance of Gag peptides in the long-term control of HIV infection. Furthermore, short-term dynamics are also predicted, with simulation of virion-derived peptides suggesting that efficient processing of Gag can lead to a 50% probability of presentation within 3 hours post-infection, as observed experimentally. In conjunction with epitope prediction algorithms, this modelling approach could be used to refine experimental targets for potential T-cell vaccines, both for HIV and other viruses. FAU - Eccleston, R Charlotte AU - Eccleston RC AD - Centre for Computational Science, Department of Chemistry, University College London, London, WC1H 0AJ, UK. AD - CoMPLEX, University College London, London, WC1E 6BT, UK. FAU - Coveney, Peter V AU - Coveney PV AUID- ORCID: 0000-0002-8787-7256 AD - Centre for Computational Science, Department of Chemistry, University College London, London, WC1H 0AJ, UK. AD - CoMPLEX, University College London, London, WC1E 6BT, UK. FAU - Dalchau, Neil AU - Dalchau N AUID- ORCID: 0000-0002-4872-6914 AD - Microsoft Research, Cambridge, CB1 2FB, UK. ndalchau@microsoft.com. LA - eng GR - MR/L016311/1/Medical Research Council/United Kingdom PT - Journal Article PT - Research Support, Non-U.S. Gov't DEP - 20171030 PL - England TA - Sci Rep JT - Scientific reports JID - 101563288 RN - 0 (Epitopes) RN - 0 (Epitopes, T-Lymphocyte) RN - 0 (Gene Products, gag) RN - 0 (HIV Antigens) RN - 0 (Histocompatibility Antigens Class II) RN - 0 (Immunodominant Epitopes) RN - 0 (Peptides) RN - 0 (gag Gene Products, Human Immunodeficiency Virus) SB - IM MH - Algorithms MH - Antigen Presentation MH - CD4-Positive T-Lymphocytes/immunology MH - CD8-Positive T-Lymphocytes/immunology MH - Computer Simulation MH - Epitopes/immunology MH - Epitopes, T-Lymphocyte/immunology MH - Forecasting/*methods MH - Gene Products, gag/genetics/immunology MH - Genes, MHC Class I/genetics/immunology MH - Genotype MH - HIV Antigens/immunology MH - HIV Infections/virology MH - HIV-1/genetics/*immunology MH - Histocompatibility Antigens Class II/genetics MH - Humans MH - Immunodominant Epitopes/*immunology MH - Peptides/genetics MH - gag Gene Products, Human Immunodeficiency Virus/genetics PMC - PMC5662608 COIS- The authors declare that they have no competing interests. EDAT- 2017/11/01 06:00 MHDA- 2019/07/02 06:00 PMCR- 2017/10/30 CRDT- 2017/11/01 06:00 PHST- 2017/02/16 00:00 [received] PHST- 2017/10/11 00:00 [accepted] PHST- 2017/11/01 06:00 [entrez] PHST- 2017/11/01 06:00 [pubmed] PHST- 2019/07/02 06:00 [medline] PHST- 2017/10/30 00:00 [pmc-release] AID - 10.1038/s41598-017-14415-8 [pii] AID - 14415 [pii] AID - 10.1038/s41598-017-14415-8 [doi] PST - epublish SO - Sci Rep. 2017 Oct 30;7(1):14367. doi: 10.1038/s41598-017-14415-8.