Evidence map›Paper›PMID 34806033›Full record

ArticleCurrent research in structural biology2021

A rigorous framework for detecting SARS-CoV-2 spike protein mutational ensemble from genomic and structural features.

Saman Fatihi, Surabhi Rathore, Ankit K Pathak, Deepanshi Gahlot, Mitali Mukerji, Nidhi Jatana, Lipi Thukral

Abstract read
In one paragraph

Article in Current research in structural biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

7 authors.

Saman FatihiCSIR-Institute of Genomics and Integrative Biology, Mathura Road, New Delhi, 110 025, India.
Surabhi RathoreCSIR-Institute of Genomics and Integrative Biology, Mathura Road, New Delhi, 110 025, India.
Ankit K PathakCSIR-Institute of Genomics and Integrative Biology, Mathura Road, New Delhi, 110 025, India.
Deepanshi GahlotCSIR-Institute of Genomics and Integrative Biology, Mathura Road, New Delhi, 110 025, India.
Mitali MukerjiCSIR-Institute of Genomics and Integrative Biology, Mathura Road, New Delhi, 110 025, India.
Nidhi JatanaCSIR-Institute of Genomics and Integrative Biology, Mathura Road, New Delhi, 110 025, India.
Lipi ThukralCSIR-Institute of Genomics and Integrative Biology, Mathura Road, New Delhi, 110 025, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recent release of SARS-CoV-2 genomic data from several countries has provided clues into the potential antigenic drift of the coronavirus population. In particular, the genomic instability observed in the spike protein necessitates immediate action and further exploration in the context of viral-host interactions. By temporally tracking 527,988 SARS-CoV-2 genomes, we identified invariant and hypervariable regions within the spike protein. We evaluated combination of mutations from SARS-CoV-2 lineages and found that maximum number of lineage-defining mutations were present in the N-terminal domain (NTD). Based on mutant 3D-structural models of known Variants of Concern (VOCs), we found that structural properties such as accessibility, secondary structural type, and intra-protein interactions at local mutation sites are greatly altered. Further, we observed significant differences between intra-protein networks of wild-type and Delta mutant, with the latter showing dense intra-protein contacts. Extensive molecular dynamics simulations of D614G mutant spike structure with hACE2 further revealed dynamic features with 47.7% of mutations mapping on flexible regions of spike protein. Thus, we propose that significant changes within spike protein structure have occurred that may impact SARS-CoV-2 pathogenesis, and repositioning of vaccine candidates is required to contain the spread of COVID-19 pathogen.

Indexed as

LineagesMutationsSARS-CoV-2Spike proteinStructural features

Identifiers

PMID34806033
PMCPMC8590475

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.