Evidence map›Paper›PMID 35020380›Full record

ArticleJournal of chemical theory and computation2022

PyLipID: A Python Package for Analysis of Protein-Lipid Interactions from Molecular Dynamics Simulations.

Wanling Song, Robin A Corey, T Bertie Ansell, C Keith Cassidy, Michael R Horrell, Anna L Duncan, Phillip J Stansfeld, Mark S P Sansom

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 105 papers.

0numbers the graph read from it
0cells of the map it votes in
105citing 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

105 citing papers in PubMed.

  1. Article
  2. Membrane Complexity and Phase Behavior Dictate the Stability of Membrane-Inserted AβChemphyschem : a European journal of chemical physics and physical chemistry · 2026
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  9. Martini 3 Metabolome.Journal of chemical theory and computation · 2026
    Article
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  13. Journal of medicinal chemistry · 2026
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

45 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

8 authors.

Wanling SongDepartment of Biochemistry, University of Oxford, South Parks Road, Oxford OX1 3QU, United Kingdom.
Robin A CoreyDepartment of Biochemistry, University of Oxford, South Parks Road, Oxford OX1 3QU, United Kingdom.ORCID https://orcid.org/0000-0003-1820-7993
T Bertie AnsellDepartment of Biochemistry, University of Oxford, South Parks Road, Oxford OX1 3QU, United Kingdom.ORCID https://orcid.org/0000-0003-4870-5387
C Keith CassidyDepartment of Biochemistry, University of Oxford, South Parks Road, Oxford OX1 3QU, United Kingdom.
Michael R HorrellDepartment of Biochemistry, University of Oxford, South Parks Road, Oxford OX1 3QU, United Kingdom.
Anna L DuncanDepartment of Biochemistry, University of Oxford, South Parks Road, Oxford OX1 3QU, United Kingdom.
Phillip J StansfeldSchool of Life Sciences & Department of Chemistry, University of Warwick, Coventry CV4 7AL, United Kingdom.
Mark S P SansomDepartment of Biochemistry, University of Oxford, South Parks Road, Oxford OX1 3QU, United Kingdom.ORCID https://orcid.org/0000-0001-6360-7959

Funding

Biotechnology and Biological Sciences Research Council BB/L01386X/1Biotechnology and Biological Sciences Research Council BB/R00126X/1Medical Research Council MR/S009213/1Wellcome Trust 208361
6 · The paper itself

Abstract

Lipids play important modulatory and structural roles for membrane proteins. Molecular dynamics simulations are frequently used to provide insights into the nature of these protein-lipid interactions. Systematic comparative analysis requires tools that provide algorithms for objective assessment of such interactions. We introduce PyLipID, a Python package for the identification and characterization of specific lipid interactions and binding sites on membrane proteins from molecular dynamics simulations. PyLipID uses a community analysis approach for binding site detection, calculating lipid residence times for both the individual protein residues and the detected binding sites. To assist structural analysis, PyLipID produces representative bound lipid poses from simulation data, using a density-based scoring function. To estimate residue contacts robustly, PyLipID uses a dual-cutoff scheme to differentiate between lipid conformational rearrangements while bound from full dissociation events. In addition to the characterization of protein-lipid interactions, PyLipID is applicable to analysis of the interactions of membrane proteins with other ligands. By combining automated analysis, efficient algorithms, and open-source distribution, PyLipID facilitates the systematic analysis of lipid interactions from large simulation data sets of multiple species of membrane proteins.

Indexed as

Membrane ProteinsMolecular Dynamics SimulationBinding SitesLigandsLipid BilayersLipidsLigandsLipid BilayersLipidsMembrane Proteins

Identifiers

PMID35020380
PMCPMC8830038

What OpenQuestion holds

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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.