2017
DOI: 10.1021/acs.jcim.7b00118
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Modeling Sequence-Dependent Peptide Fluctuations in Immunologic Recognition

Abstract: In cellular immunity, T cells recognize peptide antigens bound and presented by major histocompatibility complex (MHC) proteins. The motions of peptides bound to MHC play a significant role in determining immunogenicity. However, existing approaches for investigating peptide/MHC motional dynamics are challenging or of low throughput, hindering the development of algorithms for predicting immunogenicity from large databases, such as those of tumor or genetically unstable viral genomes. We addressed this by perf… Show more

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Cited by 13 publications
(23 citation statements)
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References 36 publications
(89 reference statements)
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“…Recently, we described a library of extensive molecular dynamics simulations of 52 different nonameric peptides bound to the class I MHC protein HLA-A2 using available crystallographic structures for starting coordinates (34). In our previous work, we assessed how peptide composition influenced peptide motion within the HLA-A2 binding groove.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, we described a library of extensive molecular dynamics simulations of 52 different nonameric peptides bound to the class I MHC protein HLA-A2 using available crystallographic structures for starting coordinates (34). In our previous work, we assessed how peptide composition influenced peptide motion within the HLA-A2 binding groove.…”
Section: Introductionmentioning
confidence: 99%
“…The relationship between peptide sequence and propagation of fluctuations, as observed also in our study, is of interest when considering antigen immunogenicity. A large‐scale study with extensive sampling by Ayres et al has analyzed the fluctuations of nonameric peptides restricted by MHC class I molecules to generate a model for peptide flexibility based on peptide sequence and chemical composition.…”
Section: Resultsmentioning
confidence: 99%
“…MD simulations, despite known limitations such as accessible timescales and accuracy of the force fields, have provided significant insights in the flexibility of TCR/pMHC complexes. [8][9][10][11][12][13] Recently, Fodor and coworkers 9 applied an ensemble enrichment method, which relies on multiple short MD simulations starting from X-ray diffraction data, to study conformational changes at TCR/pMHC interfaces. They extracted information of underlying dynamics overlooked in the comparison of crystal structures of TCR-bound and unbound pMHCs.…”
mentioning
confidence: 99%
“…Thus, a single difference between two peptides can have effects that propagate to contacts involving residues distant in sequence and space from the mutated one. A large-scale study with extensive sampling by Ayres et al (11) has analyzed the fluctuations of nonameric peptides restricted by MHC class I molecules to generate a model for peptide flexibility based on peptide sequence and chemical composition. The relationship between peptide sequence and propagation of fluctuations, as observed also in our study, is of interest when considering antigen immunogenicity.…”
Section: Simulations Of the Pmhc Bimolecular Complexmentioning
confidence: 99%
“…MD simulations, despite known limitations such as accessible timescales and accuracy of the force fields, have provided significant insights in the flexibility of TCR/pMHC complexes (7)(8)(9)(10)(11)(12). Recently, Fodor et al (12) applied an ensemble enrichment method, which relies on multiple short MD simulations starting from X-ray diffraction data, to study conformational changes at TCR/pMHC interfaces.…”
Section: Introductionmentioning
confidence: 99%