Evidence map›Paper›PMID 42072697›Full record

ArticleBiomolecules2026

Chirobiophore: A Novel Framework for Quantifying Biochirality in Macromolecular Systems.

Claudiu N Lungu, Subhash C Basak

Abstract read
In one paragraph

Article in Biomolecules, 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

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.

Claudiu N LunguDepartment of Functional and Morphological Science, Faculty of Medicine and Pharmacy, Dunarea de Jos University, 8000080 Galati, Romania.ORCID 0000-0002-5416-3142
Subhash C BasakDepartment of Chemistry and Biochemistry, University of Minnesota, 246 Chemistry Building, 1039 University Drive, Duluth, MN 55812, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chirality is a pervasive and functionally critical feature of biological macromolecules, yet its distributed and emergent forms remain poorly quantified in complex systems such as membrane proteins. We present Chirobiophore, a novel paradigm for capturing biochirality across scales-from atomic geometries to global structural asymmetries. Unlike traditional stereochemical metrics, Chirobiophore employs a multidimensional model-independent vector comprising Local Tetrahedral Asymmetry (LTA), Helical Path Curvature (HPC), Asymmetric Environment Score (AES), Directional Density Profile (DDP), Leaflet Asymmetry Index (LAI), and Orientation Twist Score (OTS). This framework enables coordinate-invariant comparisons of structurally diverse proteins in a continuous chirality space. We demonstrate its application to canonical, GPCR, and topologically complex membrane proteins, revealing distinct chirality signatures and functional clustering. Furthermore, we map Chirobiophore descriptors to tissue-level asymmetry indices, providing a bridge between molecular structure and morphogenetic patterning. Chirobiophore offers a unified, extensible platform for structural biology, synthetic design, and developmental modeling of chirality.

Indexed as

Macromolecular SubstancesMembrane ProteinsModels, MolecularReceptors, G-Protein-CoupledStereoisomerismMacromolecular SubstancesMembrane ProteinsReceptors, G-Protein-Coupledbiochiralitychirality descriptorschirobiophoremembrane proteinsmolecular geometrymorphogenetic patterningprotein designprotein topologystructural asymmetrytopological analysisvector field modeling

Identifiers

PMID42072697
PMCPMC13113911

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.