Literature DB >> 17766153

Toward the atomistic simulation of T cell epitopes automated construction of MHC: peptide structures for free energy calculations.

Sarah J Todman1, Mark D Halling-Brown, Matthew N Davies, Darren R Flower, Melis Kayikci, David S Moss.   

Abstract

Epitopes mediated by T cells lie at the heart of the adaptive immune response and form the essential nucleus of anti-tumour peptide or epitope-based vaccines. Antigenic T cell epitopes are mediated by major histocompatibility complex (MHC) molecules, which present them to T cell receptors. Calculating the affinity between a given MHC molecule and an antigenic peptide using experimental approaches is both difficult and time consuming, thus various computational methods have been developed for this purpose. A server has been developed to allow a structural approach to the problem by generating specific MHC:peptide complex structures and providing configuration files to run molecular modelling simulations upon them. A system has been produced which allows the automated construction of MHC:peptide structure files and the corresponding configuration files required to execute a molecular dynamics simulation using NAMD. The system has been made available through a web-based front end and stand-alone scripts. Previous attempts at structural prediction of MHC:peptide affinity have been limited due to the paucity of structures and the computational expense in running large scale molecular dynamics simulations. The MHCsim server (http://igrid-ext.cryst.bbk.ac.uk/MHCsim) allows the user to rapidly generate any desired MHC:peptide complex and will facilitate molecular modelling simulation of MHC complexes on an unprecedented scale.

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Year:  2007        PMID: 17766153     DOI: 10.1016/j.jmgm.2007.07.005

Source DB:  PubMed          Journal:  J Mol Graph Model        ISSN: 1093-3263            Impact factor:   2.518


  6 in total

1.  Structural allele-specific patterns adopted by epitopes in the MHC-I cleft and reconstruction of MHC:peptide complexes to cross-reactivity assessment.

Authors:  Dinler A Antunes; Gustavo F Vieira; Maurício M Rigo; Samuel P Cibulski; Marialva Sinigaglia; José A B Chies
Journal:  PLoS One       Date:  2010-04-26       Impact factor: 3.240

2.  General Prediction of Peptide-MHC Binding Modes Using Incremental Docking: A Proof of Concept.

Authors:  Dinler A Antunes; Didier Devaurs; Mark Moll; Gregory Lizée; Lydia E Kavraki
Journal:  Sci Rep       Date:  2018-03-12       Impact factor: 4.379

3.  Virtual interactomics of proteins from biochemical standpoint.

Authors:  Jaroslav Kubrycht; Karel Sigler; Pavel Souček
Journal:  Mol Biol Int       Date:  2012-08-08

4.  CrossTope: a curate repository of 3D structures of immunogenic peptide: MHC complexes.

Authors:  Marialva Sinigaglia; Dinler Amaral Antunes; Maurício Menegatti Rigo; José Artur Bogo Chies; Gustavo Fioravanti Vieira
Journal:  Database (Oxford)       Date:  2013-02-08       Impact factor: 3.451

5.  Three-dimensional structure discrepancy between HLA alleles for effective prediction of aGVHD severity and optimal selection of recipient-donor pairs: a proof-of-concept study.

Authors:  Hongxing Han; Fang Yuan; Yuying Sun; Jinfeng Liu; Shuguang Liu; Yuan Luo; Fei Liang; Nan Liu; Juan Long; Xiao Zhao; Fanhua Kong; Yongzhi Xi
Journal:  Oncotarget       Date:  2015-11-24

6.  DockTope: a Web-based tool for automated pMHC-I modelling.

Authors:  Maurício Menegatti Rigo; Dinler Amaral Antunes; Martiela Vaz de Freitas; Marcus Fabiano de Almeida Mendes; Lindolfo Meira; Marialva Sinigaglia; Gustavo Fioravanti Vieira
Journal:  Sci Rep       Date:  2015-12-17       Impact factor: 4.379

  6 in total

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