Evidence map›Paper›PMID 38449297›Full record

ArticleBioinformatics (Oxford, England)2024

Rapid generation of high-quality structure figures for publication with PyMOL-PUB.

Yuting Chen, Haoling Zhang, Wen Wang, Yue Shen, Zhi Ping

Erratum issuedAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–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

13 citing papers in PubMed.

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  13. International journal of molecular sciences · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Yuting ChenCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.ORCID 0009-0007-9972-2060
Haoling ZhangBGI Research, Shenzhen 518083, China.ORCID 0000-0003-4507-0339
Wen WangBGI Research, Shenzhen 518083, China.ORCID 0000-0003-3359-1030
Yue ShenBGI Research, Shenzhen 518083, China.ORCID 0000-0002-3276-7295
Zhi PingBGI Research, Shenzhen 518083, China.ORCID 0000-0001-7114-1124

Funding

National Key Research and Development Program of China 2021YFF120010National Natural Science Foundation of China 32101182Shenzhen Science, Technology and Innovation Commission
6 · The paper itself

Abstract

motivationThe advancement of structural biology has increased the requirements for researchers to quickly and efficiently visualize molecular structures in silico. Meanwhile, it is also time-consuming for structural biologists to create publication-standard figures, as no useful tools can directly generate figures from structure data. Although manual editing can ensure that figures meet the standards required for publication, it requires a deep understanding of software operations and/or program call commands. Therefore, providing interfaces based on established software instead of manual editing becomes a significant necessity.

resultsWe developed PyMOL-PUB, based on the original design of PyMOL, to effectively create publication-quality figures from molecular structure data. It provides functions including structural alignment methods, functional coloring schemes, conformation adjustments, and layout plotting strategies. These functions allow users to easily generate high-quality figures, demonstrate structural differences, illustrate inter-molecular interactions, and predict performances of biomacromolecules. AVAILABILITY AND IMPLEMENTATION: Our tool is publicly available at https://github.com/BGI-SynBio/PyMOL-PUB.

Indexed as

SoftwareMolecular Conformation

Identifiers

PMID38449297
PMCPMC10950480

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.