Using the PyMOL application to reinforce visual understanding of protein structure

By Rachel E Rigsby, Al Parker. Biochemistry and Molecular Biology Education, 2016

384 citations recorded by the source corpus.

Subfields: Education, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/5a67cdd472e191b7222881130213cbd0fc9acb6e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Education

1. Shuguang Yuan
2. H. C. Stephen Chan
3. Zhenquan Hu

In Molecular Biology

1. Marta Szachniuk
2. Eric Westhof
3. Maciej Antczak
4. Janusz M. Bujnicki
5. Zhichao Miao
6. Tomasz Zok
7. Piotr Lukasiak
8. Marcin Magnus

Citations in the corpus

• RNA-Puzzles toolkit: a computational resource of RNA 3D structure benchmark datasets, structure manipulation, and evaluation tools (2019, background): “Using the wrap-pers together with the PyMOL4RNA tool in rna-tools, it is possible to perform contact classifications in PyMOL for a selected set of residues (Figure 3B).”
• Using PyMOL as a platform for computational drug design (2017, methodology): “PyMOL has been widely used for 3D visualization of macromolecules and it becomes one of the most popular tools for preparing high-resolution images of macromolecules for publications.(7) However, many users may ignore or are not aware of many other useful modules and functions, which perfectly facil”