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?
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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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