Module

Structure prediction

Obtaining a 3D structure when no experimental structure is available: AlphaFold, homology modelling and model quality assessment.

Duration
2 days (14 h)
Level
Intermediate
Price
On quotation
Format
Online
Programme indicatif. Le déroulé ci-dessous décrit le contenu prévu. Les horaires peuvent être ajustés selon le rythme du groupe. Aucune date de session n'est encore fixée.
Learning objectives

By the end of this module, you will be able to

  • Choose a structure prediction method suited to your case
  • Run AlphaFold or ESMFold and interpret the results
  • Read and critically assess pLDDT and PAE scores
  • Build a homology model and validate its quality
  • Prepare a predicted model for molecular docking

Day 1 — Foundations and preparation

Detailed program — Day 1
Time Content Type
09:00 – 09:30Welcome, introduction of participants and objectivesIntroduction
09:30 – 10:45Theory: the protein folding problem and its computational approachesTheory
10:45 – 11:00Break
11:00 – 12:30AlphaFold2 and ESMFold: using the online serversPractical work
12:30 – 14:00Lunch
14:00 – 15:30Reading pLDDT and PAE scores: what is reliable and what is notPractical work
15:30 – 15:45Break
15:45 – 17:15Practical case: predicting a target with no experimental structurePractical work
17:15 – 17:45Day summary and questionsWrap-up

Day 2 — Grid, docking and validation

Detailed program — Day 2
Time Content Type
09:00 – 10:00Homology modelling: principles and when to use itTheory
10:00 – 10:45Template selection and alignment with MODELLER or SWISS-MODELPractical work
10:45 – 11:00Break
11:00 – 12:30Model validation: Ramachandran plot, Z-score, ERRATPractical work
12:30 – 14:00Lunch
14:00 – 15:30Repairing and preparing the model for dockingPractical work
15:30 – 15:45Break
15:45 – 16:45Comparing predicted and experimental structuresPractical work
16:45 – 17:30Final assessment and closingWrap-up

Prerequisites

  • Basic structural biochemistry
  • Basic structural biochemistry
  • No programming experience required

Required equipment

  • Computer with at least 8 GB RAM
  • Linux, macOS or Windows 10+
  • Stable internet connection
  • Software provided: AutoDock Vina, MGLTools, PyMOL

Interested in this module?

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