Literature DB >> 29329361

pyHVis3D: visualising molecular simulation deduced H-bond networks in 3D: application to T-cell receptor interactions.

Bernhard Knapp1,2, Marta Alcala2, Hao Zhang3, Clare E West1, P Anton van der Merwe3, Charlotte M Deane1.   

Abstract

Motivation: Hydrogen bonds (H-bonds) play an essential role for many molecular interactions but are also often transient, making visualising them in a flexible system challenging.
Results: We provide pyHVis3D which allows for an easy to interpret 3D visualisation of H-bonds resulting from molecular simulations. We demonstrate the power of pyHVis3D by using it to explain the changes in experimentally measured binding affinities for three T-cell receptor/peptide/MHC complexes and mutants of each of these complexes. Availability and implementation: pyHVis3D can be downloaded for free from http://opig.stats.ox.ac.uk/resources. Contact: science.bernhard.knapp@gmail.com. Supplementary information: Supplementary data are available at Bioinformatics online.

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Year:  2018        PMID: 29329361     DOI: 10.1093/bioinformatics/btx842

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  4 in total

1.  PySFD: comprehensive molecular insights from significant feature differences detected among many simulated ensembles.

Authors:  Sebastian Stolzenberg
Journal:  Bioinformatics       Date:  2019-05-01       Impact factor: 6.937

2.  How peptide/MHC presence affects the dynamics of the LC13 T-cell receptor.

Authors:  Jose Luis Dominguez; Bernhard Knapp
Journal:  Sci Rep       Date:  2019-02-25       Impact factor: 4.379

3.  MHC binding affects the dynamics of different T-cell receptors in different ways.

Authors:  Bernhard Knapp; P Anton van der Merwe; Omer Dushek; Charlotte M Deane
Journal:  PLoS Comput Biol       Date:  2019-09-09       Impact factor: 4.475

Review 4.  Predicting Cross-Reactivity and Antigen Specificity of T Cell Receptors.

Authors:  Chloe H Lee; Mariolina Salio; Giorgio Napolitani; Graham Ogg; Alison Simmons; Hashem Koohy
Journal:  Front Immunol       Date:  2020-10-22       Impact factor: 7.561

  4 in total

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