Skip to content

This repository includes the slides and the practicals for the course of Structural Bioinformatics of the MBB/QB degrees at the University of Milano, originally inspired by https://github.com/pb3lab/ibm3202

License

Notifications You must be signed in to change notification settings

carlocamilloni/Structural-Bioinformatics

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Structural Bioinformatics

Carlo Camilloni, Department of Biosciences, University of Milano, Italy

Structural Bioinformatics is an elective course for the Master programmes Molecular Biotechnology and Bioinformatics (MBB) and Quantitative Biology (QB). The aim is to provide a general introduction to different computational approaches related to computational structural biology and biochemistry. This repository contains both the lecture notes and the laboratory exercises. News about the course will be published on the ARIEL website.

The main topics covered are:

  1. Structures visualisation and analysis
  2. Molecular Dynamics simulations (including QM)
  3. Biomolecules Structure Prediction (including docking)
  4. Advanced topics: integrative structural biology and protein design

The repository is organised as follow:

Notes     : Slides of the lectures in PDF format
Notebooks : Colab Notebooks for the practicals
Data      : Additional files needed for the practicals

For each academic year, a snapshot of the repository is saved as a release.

Academic year 2024-2025:

This is how the course will work:

Lecture Topic Last Updated
Generic badge Introduction: information about the course 10/2024

Notes:

Lecture Topic Last Updated
Generic badge Structural Biology and Structure Visualisation 10/2024
Generic badge A Statistical Mechanics view of Biomolecular Dynamics 10/2024
Generic badge Molecular Dynamics simulations: force-fields, algorithms, analysis 11/2024
Generic badge Enhanced Sampling Techniques in MD 10/2024
Generic badge Markov State Models (by T. Giorgino) 11/2023
Generic badge Quantum Chemistry, QM/MM, and simplified models 11/2024
Generic badge Machine Learning (by T. Giorgino) 11/2023
Generic badge Structures Prediction and Molecular Docking 12/2023
Generic badge Integrative Modelling and Protein Design 01/2024

Practicals:

Task Instructions Report Last Updated
T01: Biomolecular Structures Visualisation Generic badge Open In Colab 10/2024
T02: Basic statistical analysis Open In Colab Open In Colab 10/2024
T03: Molecular Dynamics simulations Open In Colab Open In Colab 10/2024
T04: More on the analysis of MD simulations Open In Colab Open In Colab 10/2024
T05: Enhanced sampling and simplified models Open In Colab Open In Colab 10/2024
T06: Basic DFT simulations Open In Colab Open In Colab 10/2024
T07: Protein Structure Prediction Open In Colab Open In Colab 10/2024
T08: Molecular Docking Open In Colab Open In Colab 10/2024
T09: Protein Design Open In Colab Open In Colab 12/2023

Reference Papers:

The following publications are to be considered as part of the course and should be studied for the exam.

  1. Seeing the PDB: Richardson J.S., Richardson R.C., Goodsell D.S. (2021) J. Biol. Chem. 296:100742 https://doi.org/10.1016/j.jbc.2021.100742
  2. Biomolecular Simulation: A Computational Microscope for Molecular Biology: Dror R.O., et al. (2012) Annu. Rev. Biophys. 41:429-452 https://doi.org/10.1146/annurev-biophys-042910-155245
  3. Toward the solution of the protein structure prediction problem: Pearce R., Zhang Y. (2021) J. Biol. Chem. 297:100870 https://doi.org/10.1002/anie.200802019

Exam:

The exam consists of a PowerPoint presentation (max 10 minutes) of a scientific paper from the list below, followed by a few questions on the paper and the methods we have covered in the lectures. Lab reports will also contribute to the final grade. See the introductory slide above for more information.

List of papers: (academic year 2024/2025)

About

This repository includes the slides and the practicals for the course of Structural Bioinformatics of the MBB/QB degrees at the University of Milano, originally inspired by https://github.com/pb3lab/ibm3202

Topics

Resources

License

Stars

Watchers

Forks

Packages

No packages published