Evidence map›Paper›PMID 37000838›Full record

ArticlePLoS computational biology2023

chiLife: An open-source Python package for in silico spin labeling and integrative protein modeling.

Maxx H Tessmer, Stefan Stoll

Abstract read
In one paragraph

Article in PLoS computational biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

  1. Review
  2. Article
  3. Elliptical β-barrel deformation underlies gating in VDAC1.Protein science : a publication of the Protein Society · 2026
    Article
  4. Binding Affinity Determines the Success of Endogenous CuThe journal of physical chemistry letters · 2026
    Article
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  6. Article
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  8. Article
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  11. Article
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  13. Article
  14. Article
  15. Review
  16. Review
  17. Structure and Nitrite Reductase Activity of the Di-iron Protein ScdA inJournal of the American Chemical Society · 2025
    Article
  18. Article
  19. Article
  20. Article
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.

Maxx H TessmerDepartment of Chemistry, University of Washington, Seattle, Washington United States of America.
Stefan StollDepartment of Chemistry, University of Washington, Seattle, Washington United States of America.ORCID 0000-0003-4255-9550

Funding

Equipment Supplement: Analysis tools for quantifying protein conformational landscapes using DEER spectroscopyR01GM125753 · NIGMS · UNIVERSITY OF WASHINGTON · PI STOLL, STEFAN · 2019 to 2022
$1.3M
High-sensitivity upgrade of DEER/EPR spectrometerS10OD021557 · OD · UNIVERSITY OF WASHINGTON · PI STOLL, STEFAN · 2017 to 2017
$495k
NIGMS NIH HHS R01 GM125753NIH HHS S10 OD021557
6 · The paper itself

Abstract

Here we introduce chiLife, a Python package for site-directed spin label (SDSL) modeling for electron paramagnetic resonance (EPR) spectroscopy, in particular double electron-electron resonance (DEER). It is based on in silico attachment of rotamer ensemble representations of spin labels to protein structures. chiLife enables the development of custom protein analysis and modeling pipelines using SDSL EPR experimental data. It allows the user to add custom spin labels, scoring functions and spin label modeling methods. chiLife is designed with integration into third-party software in mind, to take advantage of the diverse and rapidly expanding set of molecular modeling tools available with a Python interface. This article describes the main design principles of chiLife and presents a series of examples.

Indexed as

ProteinsSoftwareElectron Spin Resonance SpectroscopyModels, MolecularSpin LabelsProteinsSpin Labels

Identifiers

PMID37000838
PMCPMC10096462

What OpenQuestion holds

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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.