Category: Protein Structure

PyMOL Stereo viewing

  PyMOL Stereo viewing PyMOL can display stereo in many ways. Unless special equipment is available, the method is to split the PyMOL 3D view area in two with the command stereo on (and stereo offto turn it off.) The alternative is to use the menu cascade: Display > Stereo. However, there are 2 ways …

Python for the Life Sciences – A Gentle Introduction

Summary This book will be used to learn Python in workshop settings. For Biologists, Life Scientists There are many books, even free books, with the objective to teach Python or other programming languages. I previously wrote a list of free books on the post Free Data Science Books. This book “Python for the Life Sciences …

PyMOL resources, books and references

NOTE: this post becoming too long, its content is now moved and updated on the page: PyMOL Resources PyMOL resources Summary This post provides resources on PyMOL What is PyMOL and how to get it The University of Wisconsin participates in the licensing of PyMOL Campus wide. License and software are available on the Campus …

Visual introduction to CryoEM

Cryo-Electron Microscopy Cryogenic electron microscopy (cryo-EM) is a cryomicroscopy technique applied on samples cooled to cryogenic temperatures (i.e. very cold!.) For biological specimens, the structure is preserved by embedding in an environment of vitreous ice.  (See more on the Wikipedia article Cryogenic electron microscopy.) The following links are videos meant to present cryo-EM visually. Unfortunately, …

AlphaFold – How to interpret structures

3D Protein structure prediction (4) This YouTube video from the European Bioinformatics Institute – EMBL-EBI webinar was recorded on 08 September 2021 This webinar will introduce AlphaFold system for prediction and interpretation of protein structures. This webinar is designed for experimental biologists who wish to understand the strengths and limitations of AlphaFold and use the …

AlphaFold – run from ChimeraX

The new ChimeraX menu "Tools > Structure Prediction > AlphaFold" provides a simple interface to run AlphaFold2 Colab that does not require the user to know how to use a Jupyter Notebook.

AlphaFold code

DeepMind and Google have created a method to access the code on GitHub. All the details to install AlphaFold locally are on the "readme" page, visible on the lower portion of the GitHub page ColabFold (See my Blog: Google colab is a free cloud notebook environment).

AlphaFold background

Predicting protein three-dimensional (3D) structures given a linear sequence of amino acids. The AlphaFold2 breakthrough.

Computing residues per turn in an alpha helix

Single mutation to be modeled I recently had an interesting challenge, that of creating a molecular model of a protein expressed from a gene with a newly identified single amino acid mutation. I (wrongly) assumed that it would be a “simple” 3D homology modeling problem, solved by common methods. It turns out that the protein …

The Fundamentals of Biochemistry: Interactive Tutorials

The Fundamentals of Biochemistry: Interactive Tutorials from Colorado State University was created by Dr. David Fahrney and edited by Ben Robinson. The 10th edition contains 10 interactive tutorials of the planned 16 chapters. Link: https://bc401.bmb.colostate.edu/ Using the javacript-based JMol web plug-in they provide easy to use, script-based interactive lessons detailing many structural aspect of biomolecules. …