APE-Gen: A Fast Method for Generating Ensembles of Bound Peptide-MHC Conformations

The Class I Major Histocompatibility Complex (MHC) is a central protein in immunology as it binds to intracellular peptides and displays them at the cell surface for recognition by T-cells. The structural analysis of bound peptide-MHC complexes (pMHCs) holds the promise of interpretable and general...

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Main Authors: Jayvee R. Abella, Dinler A. Antunes, Cecilia Clementi, Lydia E. Kavraki
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Molecules
Subjects:
Online Access:http://www.mdpi.com/1420-3049/24/5/881
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author Jayvee R. Abella
Dinler A. Antunes
Cecilia Clementi
Lydia E. Kavraki
author_facet Jayvee R. Abella
Dinler A. Antunes
Cecilia Clementi
Lydia E. Kavraki
author_sort Jayvee R. Abella
collection DOAJ
description The Class I Major Histocompatibility Complex (MHC) is a central protein in immunology as it binds to intracellular peptides and displays them at the cell surface for recognition by T-cells. The structural analysis of bound peptide-MHC complexes (pMHCs) holds the promise of interpretable and general binding prediction (i.e., testing whether a given peptide binds to a given MHC). However, structural analysis is limited in part by the difficulty in modelling pMHCs given the size and flexibility of the peptides that can be presented by MHCs. This article describes APE-Gen (Anchored Peptide-MHC Ensemble Generator), a fast method for generating ensembles of bound pMHC conformations. APE-Gen generates an ensemble of bound conformations by iterated rounds of (i) anchoring the ends of a given peptide near known pockets in the binding site of the MHC, (ii) sampling peptide backbone conformations with loop modelling, and then (iii) performing energy minimization to fix steric clashes, accumulating conformations at each round. APE-Gen takes only minutes on a standard desktop to generate tens of bound conformations, and we show the ability of APE-Gen to sample conformations found in X-ray crystallography even when only sequence information is used as input. APE-Gen has the potential to be useful for its scalability (i.e., modelling thousands of pMHCs or even non-canonical longer peptides) and for its use as a flexible search tool. We demonstrate an example for studying cross-reactivity.
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spelling doaj.art-99302110cc5840bc8a4113613b22480d2022-12-21T18:27:00ZengMDPI AGMolecules1420-30492019-03-0124588110.3390/molecules24050881molecules24050881APE-Gen: A Fast Method for Generating Ensembles of Bound Peptide-MHC ConformationsJayvee R. Abella0Dinler A. Antunes1Cecilia Clementi2Lydia E. Kavraki3Department of Computer Science, Rice University, Houston, TX 77005, USADepartment of Computer Science, Rice University, Houston, TX 77005, USACenter for Theoretical Biological Physics, Rice University, Houston, TX 77005, USADepartment of Computer Science, Rice University, Houston, TX 77005, USAThe Class I Major Histocompatibility Complex (MHC) is a central protein in immunology as it binds to intracellular peptides and displays them at the cell surface for recognition by T-cells. The structural analysis of bound peptide-MHC complexes (pMHCs) holds the promise of interpretable and general binding prediction (i.e., testing whether a given peptide binds to a given MHC). However, structural analysis is limited in part by the difficulty in modelling pMHCs given the size and flexibility of the peptides that can be presented by MHCs. This article describes APE-Gen (Anchored Peptide-MHC Ensemble Generator), a fast method for generating ensembles of bound pMHC conformations. APE-Gen generates an ensemble of bound conformations by iterated rounds of (i) anchoring the ends of a given peptide near known pockets in the binding site of the MHC, (ii) sampling peptide backbone conformations with loop modelling, and then (iii) performing energy minimization to fix steric clashes, accumulating conformations at each round. APE-Gen takes only minutes on a standard desktop to generate tens of bound conformations, and we show the ability of APE-Gen to sample conformations found in X-ray crystallography even when only sequence information is used as input. APE-Gen has the potential to be useful for its scalability (i.e., modelling thousands of pMHCs or even non-canonical longer peptides) and for its use as a flexible search tool. We demonstrate an example for studying cross-reactivity.http://www.mdpi.com/1420-3049/24/5/881MHC class Iensemblemolecular dockingpeptide binding
spellingShingle Jayvee R. Abella
Dinler A. Antunes
Cecilia Clementi
Lydia E. Kavraki
APE-Gen: A Fast Method for Generating Ensembles of Bound Peptide-MHC Conformations
Molecules
MHC class I
ensemble
molecular docking
peptide binding
title APE-Gen: A Fast Method for Generating Ensembles of Bound Peptide-MHC Conformations
title_full APE-Gen: A Fast Method for Generating Ensembles of Bound Peptide-MHC Conformations
title_fullStr APE-Gen: A Fast Method for Generating Ensembles of Bound Peptide-MHC Conformations
title_full_unstemmed APE-Gen: A Fast Method for Generating Ensembles of Bound Peptide-MHC Conformations
title_short APE-Gen: A Fast Method for Generating Ensembles of Bound Peptide-MHC Conformations
title_sort ape gen a fast method for generating ensembles of bound peptide mhc conformations
topic MHC class I
ensemble
molecular docking
peptide binding
url http://www.mdpi.com/1420-3049/24/5/881
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