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Summer Project: Machine learning framework to analyse molecular dynamics simulations

Summer Project: Machine learning framework to analyse molecular dynamics simulations

by Joerg Simon Wicker | Jun 30, 2021 | Cheminformatics, Join us, Spatio-temporal Data Mining

Summary Molecular dynamics (MD) simulations encompass a range of computational techniques useful to sample the dynamical behaviour of molecules and relate it to their structure. Finding the link between molecular dynamics and molecular function is key to the...
Summer Project: Machine learning for mass spectrometry data analysis

Summer Project: Machine learning for mass spectrometry data analysis

by Joerg Simon Wicker | Jun 22, 2021 | Cheminformatics, Computational Sustainability, Join us

Summary As new mass spectrometry (MS) technologies are rapidly developed to cope with the complexity of biological samples emerging in environmental and biomedical sciences, standard tools for MS analysis fail to exploit the full data potential offered by the new...
Summer Project: Finding Patterns in Chemical Reactions

Summer Project: Finding Patterns in Chemical Reactions

by Joerg Simon Wicker | Jun 21, 2021 | Cheminformatics, Computational Sustainability, Join us

Summary In Cheminformatics, a common task is to predict metabolic reactions and pathways. This is usually done by encoding expert knowledge into transformation rules which are generalisations of collections of reactions and work similar to regular expressions. If the...
Summer Project: Finding Patterns in Chemical Reactions

enviPath

by Joerg Simon Wicker | Jun 30, 2020 | Cheminformatics, Computational Sustainability, Projects

enviPath is both, a database and a prediction system, for the microbial biotransformation of organic environmental contaminants. The database provides the possibility to store and view experimentally observed biotransformation pathways, and supports annotating...
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