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pyHVis3D: Visualising Molecular Simulation deduced H-bond networks in 3D: Application to T-cell receptor interactions
- Source :
- Bioinformatics. 34(11)
- Publication Year :
- 2018
-
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.
- Subjects :
- 0301 basic medicine
Statistics and Probability
Protein Conformation
Receptors, Antigen, T-Cell
Molecular simulation
Molecular Dynamics Simulation
Biochemistry
03 medical and health sciences
0302 clinical medicine
Humans
Molecular Biology
Binding affinities
Supplementary data
Molecular interactions
Chemistry
Hydrogen bond
T-cell receptor
Computational Biology
Hydrogen Bonding
Computer Science Applications
Computational Mathematics
030104 developmental biology
Computational Theory and Mathematics
Mutation
Biological system
Algorithms
Software
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 14602059 and 13674803
- Volume :
- 34
- Issue :
- 11
- Database :
- OpenAIRE
- Journal :
- Bioinformatics
- Accession number :
- edsair.doi.dedup.....d6a5ceab0430d0091f61d9e22e8fb47d