T-cell Epitope Prediction and Immune Complex Simulation Using Molecular Dynamics: State of the Art and Persisting Challenges

Overview

Journal Immunome Res

Publisher Omics Publishing Group

Specialty Allergy & Immunology

Date 2010 Nov 12

PMID 21067546

Citations 10

Authors

Darren R Flower

Kanchan Phadwal

Isabel K Macdonald

Peter V Coveney

Matthew N Davies

Shunzhou Wan

Affiliations

Soon will be listed here.

Abstract

Atomistic Molecular Dynamics provides powerful and flexible tools for the prediction and analysis of molecular and macromolecular systems. Specifically, it provides a means by which we can measure theoretically that which cannot be measured experimentally: the dynamic time-evolution of complex systems comprising atoms and molecules. It is particularly suitable for the simulation and analysis of the otherwise inaccessible details of MHC-peptide interaction and, on a larger scale, the simulation of the immune synapse. Progress has been relatively tentative yet the emergence of truly high-performance computing and the development of coarse-grained simulation now offers us the hope of accurately predicting thermodynamic parameters and of simulating not merely a handful of proteins but larger, longer simulations comprising thousands of protein molecules and the cellular scale structures they form. We exemplify this within the context of immunoinformatics.

Citing Articles

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Structure-based Methods for Binding Mode and Binding Affinity Prediction for Peptide-MHC Complexes.

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