Evidence map›Paper›PMID 40555792›Full record

ReviewThe Journal of membrane biology2025

Resurrection of the Helical Hairpin Hypothesis for Understanding Coronavirus Fusion.

Sahil Lall, M Vijayasarathy, N V Joshi, P Balaram

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In one paragraph

Review in The Journal of membrane biology, 2025. 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

4 authors.

Sahil LallSimons Centre for the Study of Living Machines, National Centre for Biological Sciences, Tata Institute of Fundamental Research, Bangalore, 560065, India.
M VijayasarathyJawaharlal Nehru Centre for Advanced Scientific Research, Jakkur, Bangalore, 560064, India.
N V JoshiEnergy and Wetlands Research Group, Centre for Ecological Sciences, Indian Institute of Science, Bangalore, 560012, India.
P BalaramNational Centre for Biological Sciences, Tata Institute of Fundamental Research, Bangalore, 560065, India. pb@alum.iisc.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronaviruses use the spike protein (spike) to bind to target cells, and fuse the viral envelope with a host lipid membrane. Spike is a large trimeric surface glycoprotein, anchored to the viral membrane (envelope) by a single membrane-spanning polypeptide helix and a short intra-virion domain. In the SARS-CoV-2 virus, the spike is formed by three protomers of 1273 residues, each with two distinct domains separable by enzymatic proteolysis prior to infection. Thus far, enveloped virus surface glycoprotein structures have provided a detailed molecular view of the pre-fusion state, while structures of the post-fusion state have remained incomplete. The determination of the full-length structure of the SARS-CoV-2 spike in the post-fusion state is a landmark in furthering our understanding of the structural pre-requisites for membrane fusion. This perspective analyzes the fusion domain as revealed by the recent structure in the context of conserved sequences across diverse coronaviruses. We highlight the characterization of the membrane-embedded fusion peptide in a helical hairpin topology. This structure is discussed as a re-imagination of the helical hairpin hypothesis for polypeptide insertion into membranes, postulated by Engleman and Steitz over four decades ago.

Indexed as

SARS-CoV-2Spike Glycoprotein, CoronavirusVirus InternalizationCOVID-19HumansMembrane FusionSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2CoronavirusEnveloped virusesFusion peptideHelical hairpinMembrane fusionMembrane penetration

Identifiers

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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.