May 1, 2024
3 minute read
PyMOL is a free and open-source molecular graphics system that allows users to visualize and analyze three-dimensional structures of proteins, nucleic acids, and other molecules. It is used by scientists in a wide range of fields, including biochemistry, structural biology, medicinal chemistry, and drug design.
Why Learn PyMOL?
There are many reasons to learn PyMOL. First, it is a powerful tool for visualizing and analyzing molecular structures. PyMOL allows users to rotate, zoom, and translate molecules in 3D space, and to view them in a variety of representations, including space-filling models, stick models, and ribbon models. It also allows users to measure distances and angles between atoms, and to calculate surface areas and volumes.
Second, PyMOL is a highly extensible program. It has a large library of built-in functions and commands, and users can also write their own scripts and plugins to customize the program to their specific needs. This makes PyMOL a very versatile tool that can be used for a wide range of tasks.
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Find a path to becoming a PyMOL. Learn more at:
OpenCourser.com/topic/ioilln/pymo
Reading list
We've selected six books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
PyMOL.
Provides a comprehensive overview of molecular modeling and simulation, including a chapter on using PyMOL for visualizing and analyzing molecular structures. It valuable resource for anyone who wants to learn more about this field and how to use it in their research.
Provides a comprehensive overview of biomolecular crystallography, including a chapter on using PyMOL for visualizing and analyzing crystal structures. It valuable resource for anyone who wants to learn more about this technique and how to use it in their research.
Provides a practical guide to bioinformatics, including a chapter on using PyMOL for visualizing and analyzing protein structures. It valuable resource for anyone who wants to learn more about this field and how to use it in their research.
Provides a comprehensive overview of the structural basis of pharmacology, including a chapter on using PyMOL for visualizing and analyzing protein-ligand interactions. It valuable resource for anyone who wants to learn more about this field and how to use it in their research.
Provides a comprehensive overview of medicinal chemistry, including a chapter on using PyMOL for visualizing and analyzing drug-target interactions. It valuable resource for anyone who wants to learn more about this field and how to use it in their research.
Provides a broad overview of visualization techniques in molecular biology, including PyMOL. It good resource for anyone who wants to learn more about the different ways to visualize molecular structures and data.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/ioilln/pymo
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