Evidence map›Paper›PMID 31710740›Full record

ArticleProtein science : a publication of the Protein Society2020

Shortcuts for faster image creation in PyMOL.

Blaine H M Mooers

Abstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 99 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
99citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

99 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  18. The Homocysteine S-Methyltransferase Family and Functional Analysis ofJournal of agricultural and food chemistry · 2025
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39 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Blaine H M MooersDepartment of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma.ORCID 0000-0001-8181-8987

Funding

Structure-Function Studies of MsvR, a Methanogen-Specific Transcriptional RegulaP20GM103640 · NIGMS · UNIVERSITY OF OKLAHOMA · PI MOOERS, BLAINE H. M. · 2012 to 2021
$20.4M
NIGMS NIH HHS 20 GM103640NIGMS NIH HHS P20 GM103640
6 · The paper itself

Abstract

PyMOL is often used to generate images of biomolecular structures. Hundreds of parameters in PyMOL provide precise control over the appearance of structures. We developed 241 Python functions-called "shortcuts"-that extend and ease the use of PyMOL. A user runs a shortcut by entering its name at the PyMOL prompt. We clustered the shortcuts by functionality into 25 groups for faster look-up. One set of shortcuts generates new styles of molecular representation. Another group saves files with time stamps in the file names; the unique filenames avoid overwriting files that have already been developed. A third group submits search terms in the user's web browser. The help function prints the function's documentation to the command history window. This documentation includes the PyMOL commands that the user can reuse by copying and pasting onto the command line or into a script file. The shortcuts should save the average PyMOL user many hours per year searching for code fragments in their computer or on-line. STATEMENT FOR LAY PUBLIC: Computer-generated images of protein structures are vital to the interpretation of and communication about the molecular structure of proteins. PyMOL is a popular computer program for generating such images. We made a large collection of macros or shortcuts that save time by executing complex operations with a few keystrokes.

Indexed as

Computational BiologyModels, MolecularProtein ConformationProteinsSoftwareUser-Computer InterfaceProteinsmacrosmolecular artworkmolecular graphicsmolecular illustrationmolecular visualizationPyMOL scripting languagePython scriptingscientific illustrationshortcutsvisual narratives

Identifiers

PMID31710740
PMCPMC6933860

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.