Evidence map›Paper›PMID 42474279›Full record

ArticleJournal of chemical information and modeling2026

Influence of Lipomannan and Lipoarabinomannan Concentration on Mycobacterial Inner Membranes Characterized by All-Atom Simulations.

Hwayoung Lee, Nathaniel Rygh, Matthieu Chavent, Wonpil Im

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Hwayoung LeeDepartment of Biological Sciences, Lehigh University, Bethlehem, Pennsylvania18015, United States.ORCID 0000-0003-2332-1993
Nathaniel RyghDepartment of Bioengineering, Lehigh University, Bethlehem, Pennsylvania18015, United States.
Matthieu ChaventCentre de Biologie Intégrative (CBI), Laboratoire de Microbiologie et Génétique Moléculaires (LMGM), Université de Toulouse, CNRS, Toulouse31400, France.
Wonpil ImDepartment of Biological Sciences, Lehigh University, Bethlehem, Pennsylvania18015, United States.ORCID 0000-0001-5642-6041

Funding

Development of Computational Tools and Their Applications to Various Biological SystemsR35GM153458 · NIGMS · LEHIGH UNIVERSITY · PI Wonpil Im · 2024 to 2026
$1.2M
Centre National de la Recherche Scientifique NADivision of Molecular and Cellular Biosciences MCB-2111728NIGMS NIH HHS R35 GM153458
6 · The paper itself

Abstract

Mycobacteria are responsible for causing severe illnesses like tuberculosis and leprosy in humans. Studying the mycobacteria cell envelope presents a significant challenge due to its intricate lipid compositions and structural variations and also its harmful nature in a typical experiment setting. In this study, we use all-atom molecular dynamics simulations to study mycobacterial inner membranes (MIMs). By incorporating different types of phosphatidyl-myo-inositol-mannosides (PIMs) and their glycoconjugates such as lipomannan (LM) and lipoarabinomannan (LAM) lipoglycans, we have constructed both symmetric and asymmetric membrane systems to study the MIM structure and dynamics under varying compositions of each lipid type. Our results show that the phospholipid/PIM-rich inner leaflet remains stable and fluid, while the outer leaflet structure and dynamics are heavily governed by lipoglycan surface density. Importantly, as LM/LAM concentration increases, the polysaccharide chains shift from flexible, membrane-lying orientations to a compact brush-like state aligned with the membrane normal. This crowding significantly reduces the solvent-accessible volume and limits direct interactions between LM/LAM sugars and the outer leaflet surface. Furthermore, we observe that high lipoglycan presence in the outer leaflet slows lipid diffusion across the entire bilayer, demonstrating a dynamic coupling between the two leaflets. By resolving these LM/LAM sugar-level dynamics and their impact on membrane-wide properties, this study provides a molecular framework for future MIM modeling and simulation with various (peripheral) membrane proteins to better understand how the MIM functions as a regulated physical barrier and a platform for mycobacterial virulence.

Indexed as

Cell MembraneLipopolysaccharidesMolecular Dynamics SimulationMycobacteriumlipoarabinomannanlipomannanLipopolysaccharides

Identifiers

PMID42474279
PMCPMC13509010

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.