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pDOCK: a new technique for rapid and accurate docking of peptide ligands to Major Histocompatibility Complexes

BACKGROUND: Identification of antigenic peptide epitopes is an essential prerequisite in T cell-based molecular vaccine design. Computational (sequence-based and structure-based) methods are inexpensive and efficient compared to experimental approaches in screening numerous peptides against their co...

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Autores principales: Khan, Javed Mohammed, Ranganathan, Shoba
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2946780/
https://www.ncbi.nlm.nih.gov/pubmed/20875153
http://dx.doi.org/10.1186/1745-7580-6-S1-S2
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author Khan, Javed Mohammed
Ranganathan, Shoba
author_facet Khan, Javed Mohammed
Ranganathan, Shoba
author_sort Khan, Javed Mohammed
collection PubMed
description BACKGROUND: Identification of antigenic peptide epitopes is an essential prerequisite in T cell-based molecular vaccine design. Computational (sequence-based and structure-based) methods are inexpensive and efficient compared to experimental approaches in screening numerous peptides against their cognate MHC alleles. In structure-based protocols, suited to alleles with limited epitope data, the first step is to identify high-binding peptides using docking techniques, which need improvement in speed and efficiency to be useful in large-scale screening studies. We present pDOCK: a new computational technique for rapid and accurate docking of flexible peptides to MHC receptors and primarily apply it on a non-redundant dataset of 186 pMHC (MHC-I and MHC-II) complexes with X-ray crystal structures. RESULTS: We have compared our docked structures with experimental crystallographic structures for the immunologically relevant nonameric core of the bound peptide for MHC-I and MHC-II complexes. Primary testing for re-docking of peptides into their respective MHC grooves generated 159 out of 186 peptides with Cα RMSD of less than 1.00 Å, with a mean of 0.56 Å. Amongst the 25 peptides used for single and variant template docking, the Cα RMSD values were below 1.00 Å for 23 peptides. Compared to our earlier docking methodology, pDOCK shows upto 2.5 fold improvement in the accuracy and is ~60% faster. Results of validation against previously published studies represent a seven-fold increase in pDOCK accuracy. CONCLUSIONS: The limitations of our previous methodology have been addressed in the new docking protocol making it a rapid and accurate method to evaluate pMHC binding. pDOCK is a generic method and although benchmarks against experimental structures, it can be applied to alleles with no structural data using sequence information. Our outcomes establish the efficacy of our procedure to predict highly accurate peptide structures permitting conformational sampling of the peptide in MHC binding groove. Our results also support the applicability of pDOCK for in silico identification of promiscuous peptide epitopes that are relevant to higher proportions of human population with greater propensity to activate T cells making them key targets for the design of vaccines and immunotherapies.
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spelling pubmed-29467802010-09-29 pDOCK: a new technique for rapid and accurate docking of peptide ligands to Major Histocompatibility Complexes Khan, Javed Mohammed Ranganathan, Shoba Immunome Res Proceedings BACKGROUND: Identification of antigenic peptide epitopes is an essential prerequisite in T cell-based molecular vaccine design. Computational (sequence-based and structure-based) methods are inexpensive and efficient compared to experimental approaches in screening numerous peptides against their cognate MHC alleles. In structure-based protocols, suited to alleles with limited epitope data, the first step is to identify high-binding peptides using docking techniques, which need improvement in speed and efficiency to be useful in large-scale screening studies. We present pDOCK: a new computational technique for rapid and accurate docking of flexible peptides to MHC receptors and primarily apply it on a non-redundant dataset of 186 pMHC (MHC-I and MHC-II) complexes with X-ray crystal structures. RESULTS: We have compared our docked structures with experimental crystallographic structures for the immunologically relevant nonameric core of the bound peptide for MHC-I and MHC-II complexes. Primary testing for re-docking of peptides into their respective MHC grooves generated 159 out of 186 peptides with Cα RMSD of less than 1.00 Å, with a mean of 0.56 Å. Amongst the 25 peptides used for single and variant template docking, the Cα RMSD values were below 1.00 Å for 23 peptides. Compared to our earlier docking methodology, pDOCK shows upto 2.5 fold improvement in the accuracy and is ~60% faster. Results of validation against previously published studies represent a seven-fold increase in pDOCK accuracy. CONCLUSIONS: The limitations of our previous methodology have been addressed in the new docking protocol making it a rapid and accurate method to evaluate pMHC binding. pDOCK is a generic method and although benchmarks against experimental structures, it can be applied to alleles with no structural data using sequence information. Our outcomes establish the efficacy of our procedure to predict highly accurate peptide structures permitting conformational sampling of the peptide in MHC binding groove. Our results also support the applicability of pDOCK for in silico identification of promiscuous peptide epitopes that are relevant to higher proportions of human population with greater propensity to activate T cells making them key targets for the design of vaccines and immunotherapies. BioMed Central 2010-09-27 /pmc/articles/PMC2946780/ /pubmed/20875153 http://dx.doi.org/10.1186/1745-7580-6-S1-S2 Text en Copyright ©2010 Ranganathan and Khan; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Proceedings
Khan, Javed Mohammed
Ranganathan, Shoba
pDOCK: a new technique for rapid and accurate docking of peptide ligands to Major Histocompatibility Complexes
title pDOCK: a new technique for rapid and accurate docking of peptide ligands to Major Histocompatibility Complexes
title_full pDOCK: a new technique for rapid and accurate docking of peptide ligands to Major Histocompatibility Complexes
title_fullStr pDOCK: a new technique for rapid and accurate docking of peptide ligands to Major Histocompatibility Complexes
title_full_unstemmed pDOCK: a new technique for rapid and accurate docking of peptide ligands to Major Histocompatibility Complexes
title_short pDOCK: a new technique for rapid and accurate docking of peptide ligands to Major Histocompatibility Complexes
title_sort pdock: a new technique for rapid and accurate docking of peptide ligands to major histocompatibility complexes
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2946780/
https://www.ncbi.nlm.nih.gov/pubmed/20875153
http://dx.doi.org/10.1186/1745-7580-6-S1-S2
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