Published in

Oxford University Press, Bioinformatics, 11(34), p. 1941-1943, 2018

DOI: 10.1093/bioinformatics/btx842

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

This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

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Abstract

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. Supplementary information Supplementary data are available at Bioinformatics online.