Evidence map›Paper›PMID 36551192›Full record

ReviewBiomolecules2022

Boosting the Full Potential of PyMOL with Structural Biology Plugins.

Serena Rosignoli, Alessandro Paiardini

Abstract readReview
In one paragraph

Review in Biomolecules, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 134 papers.

0numbers the graph read from it
0cells of the map it votes in
134citing 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

134 citing papers in PubMed.

  1. Article
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  7. De Novo Autogenic Engineered Living Functional Materials.Advanced materials (Deerfield Beach, Fla.) · 2026
    Article
  8. Review
  9. Article
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  11. Article
  12. Article
  13. Article
  14. Investigation of the Potential Neuroprotective Mechanisms ofInternational journal of molecular sciences · 2026
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

74 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

2 authors.

Serena RosignoliDepartment of Biochemical Sciences "A. Rossi Fanelli", Sapienza Università di Roma, 00185 Rome, Italy.ORCID 0000-0002-0164-8998
Alessandro PaiardiniDepartment of Biochemical Sciences "A. Rossi Fanelli", Sapienza Università di Roma, 00185 Rome, Italy.ORCID 0000-0001-9078-7545

Funding

Italian Association for Cancer Research MFAG 20447
6 · The paper itself

Abstract

Over the past few decades, the number of available structural bioinformatics pipelines, libraries, plugins, web resources and software has increased exponentially and become accessible to the broad realm of life scientists. This expansion has shaped the field as a tangled network of methods, algorithms and user interfaces. In recent years PyMOL, widely used software for biomolecules visualization and analysis, has started to play a key role in providing an open platform for the successful implementation of expert knowledge into an easy-to-use molecular graphics tool. This review outlines the plugins and features that make PyMOL an eligible environment for supporting structural bioinformatics analyses.

Indexed as

AlgorithmsSoftwareComputational Biologybioinformaticsmolecular dockingmolecular dynamicsmolecular viewerpluginprotein structure predictionPyMOLsequence analysisstructural biologystructure-function analysisvirtual screening

Identifiers

PMID36551192
PMCPMC9775141

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.