Training materials
Difficulty level: Intermediate
and Contributors: Andrea Argentini or Daniel Blankenberg or Dr. Roland Schwarz or Emily Angiolini or John "Scooter" Morris or Martin Krzywinski or Mateusz Kuzak or Patricia Palagi or Prof. Tom Freeman or Rafael C Jimenez or Simon Bray
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hands-on tutorial
Peptide Library Data Analysis
•• intermediateProteomics -
hands-on tutorial
Hands-on for 'Machine Learning Modeling of Anticancer Peptides' tutorial
•• intermediateproteomics ML cancer -
hands-on tutorial
Protein-ligand docking
•• intermediateComputational chemistry -
hands-on tutorial
Protein target prediction of a bioactive ligand with Align-it and ePharmaLib
•• intermediateComputational chemistry -
hands-on tutorial
Hands-on for 'Virtual screening of the SARS-CoV-2 main protease with rxDock and pose scoring' tutorial
•• intermediatecomputational-chemistry covid19 one-health -
hands-on tutorial
Running molecular dynamics simulations using GROMACS
•• intermediateComputational chemistry -
hands-on tutorial
Analysis of molecular dynamics simulations
•• intermediateComputational chemistry -
hands-on tutorial
Running molecular dynamics simulations using NAMD
•• intermediateComputational chemistry -
hands-on tutorial
Setting up molecular systems
•• intermediateComputational chemistry -
Cytoscape stringApp exercises
•• intermediateBioinformatics Molecular interactions, pathways and networks Protein interactions Proteomics Data visualisation