Literature DB >> 21080018

Homology modeling and molecular dynamics simulations of MUC1-9/H-2K(b) complex suggest novel binding interactions.

Athanassios Stavrakoudis1, Ioannis G Tsoulos, Katalin Uray, Ferenc Hudecz, Vasso Apostolopoulos.   

Abstract

Human MUC1 is over-expressed in human adenocarcinomas and has been used as a target for immunotherapy studies. The 9-mer MUC1-9 peptide has been identified as one of the peptides which binds to murine MHC class I H-2K(b). The structure of MUC1-9 in complex with H-2K(b) has been modeled and simulated with classical molecular dynamics, based on the x-ray structure of the SEV9 peptide/H-2K(b) complex. Two independent trajectories with the solvated complex (10 ns in length) were produced. Approximately 12 hydrogen bonds were identified during both trajectories to contribute to peptide/MHC complex, as well as 1-2 water mediated hydrogen bonds. Stability of the complex was also confirmed by buried surface area analysis, although the corresponding values were about 20% lower than those of the original x-ray structure. Interestingly, a bulged conformation of the peptide's central region, partially characterized as a β-turn, was found exposed form the binding groove. In addition, P1 and P9 residues remained bound in the A and F binding pockets, even though there was a suggestion that P9 was more flexible. The complex lacked numerous water mediated hydrogen bonds that were present in the reference peptide x-ray structure. Moreover, local displacements of residues Asp4, Thr5 and Pro9 resulted in loss of some key interactions with the MHC molecule. This might explain the reduced affinity of the MUC1-9 peptide, relatively to SEV9, for the MHC class I H-2K(b).

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Year:  2010        PMID: 21080018     DOI: 10.1007/s00894-010-0884-4

Source DB:  PubMed          Journal:  J Mol Model        ISSN: 0948-5023            Impact factor:   1.810


  56 in total

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Authors:  N A Baker; D Sept; S Joseph; M J Holst; J A McCammon
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Review 4.  Conformational flexibility in designing peptides for immunology: the molecular dynamics approach.

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Journal:  Curr Comput Aided Drug Des       Date:  2010-09       Impact factor: 1.606

Review 5.  Physical methods for structure, dynamics and binding in immunological research.

Authors:  Dimitrios Morikis; John D Lambris
Journal:  Trends Immunol       Date:  2004-12       Impact factor: 16.687

6.  Liquid water simulation: a critical examination of cutoff length.

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Review 7.  Molecular simulation as an aid to experimentalists.

Authors:  Wilfred F van Gunsteren; Jozica Dolenc; Alan E Mark
Journal:  Curr Opin Struct Biol       Date:  2008-02-14       Impact factor: 6.809

8.  The critical role of a solvent-exposed residue of an MHC class I-restricted peptide in MHC-peptide binding.

Authors:  R Huard; R Dyall; J Nikolić-Zugić
Journal:  Int Immunol       Date:  1997-11       Impact factor: 4.823

9.  T cell receptor recognition of a 'super-bulged' major histocompatibility complex class I-bound peptide.

Authors:  Fleur E Tynan; Scott R Burrows; Ashley M Buckle; Craig S Clements; Natalie A Borg; John J Miles; Travis Beddoe; James C Whisstock; Matthew C Wilce; Sharon L Silins; Jacqueline M Burrows; Lars Kjer-Nielsen; Lyudmila Kostenko; Anthony W Purcell; James McCluskey; Jamie Rossjohn
Journal:  Nat Immunol       Date:  2005-09-25       Impact factor: 25.606

10.  Patient-specific simulation as a basis for clinical decision-making.

Authors:  S Kashif Sadiq; Marco D Mazzeo; Stefan J Zasada; Steven Manos; Ileana Stoica; Catherine V Gale; Simon J Watson; Paul Kellam; Stefan Brew; Peter V Coveney
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2008-09-13       Impact factor: 4.226

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