Course content
To see details about the live Structural bioinformatics course and the original programme, you can refer to the course page and programme.
The contents table below outlines the different sessions that were included in the course, as well as the format of the materials (presentations, videos, practicals etc.) and each session’s trainers. Either proceed through the materials using the arrows at the end of each page or pick your topic of interest from the table below to skip straight to it.
Presentation slides – View or download the slides
Recorded lectures – Watch the lecture videos
Practicals – View or download the slides, exercises, datasets, analysis scripts and results
| Format | Subject | Trainer |
| Intro to structural biology data and sequences | ||
| Introduction to structural biology data | Sameer Velankar and Jack Turner |
| Sequences: Alignments and Annotation | Fabio Madeira, Pedro Raposo and Nandana Madhusoodanan |
| Sequences, families, and folds | ||
| | Sequence classification: Pfam and InterPro | Typhaine Paysan-Lafosse & Sara Chuguransky |
| CATH DB – Protein folds and structural family resources | Ian Sillitoe |
| Structural informatics Past and present | Janet Thornton |
| Macromolecular structure databases, tools, and visualisation | ||
| Structure validation and PDB-Redo | Robbie Joosten |
| PDBe and Molstar | David Armstrong, Sudakshina Ganguly and Genevieve Evans |
| PDBe-KnowledgeBase | David Armstrong, Sudakshina Ganguly and Genevieve Evans |
| EMDB | Kyle Morris, Miao Ma, Zhe Wang, Jack Turner |
| Molecular visualisation for structural biology | Isabel Romero Calvo |
| Protein structure prediction and molecular docking | ||
| | Modelling protein structure and missense variants: Phyre2 and Missense3D in the context of AlphaFold models | Michael Sternberg, Harry Powell and Alessia David |
| | AlphaFold database and ColabFold | Paulyna Magaña |
| | Completing predicted structures using AlphaFill | Robbie Joosten |
| Solving 3D puzzles of biomolecular interactions by integrative modelling – HADDOCK | Alexandre Bonvin and Marco Giulini |
| Bioactive molecules and disorder | ||
| Ligand structural biology with ChEMBL | Melissa Adasme, Ines Smit, and Emma Manners |
| AI to predict disordered proteins | Bálint Mészáros |