Evidence map›Paper›PMID 41768706›Full record

ArticleACS omega2026

Computational Insights into the Structural Dynamics of the E Protein's DIII Domain in Brazilian Yellow Fever Virus: Implications of Amino Acid Variations on Protein Plasticity and Potential Impact on Vaccine Efficacy.

Mahendra Gaur, Prabhudutta Mamidi, Baijayantimala Mishra, Amrita Ray, Soma Chattopadhyay, Sutapa Rath, Monalisa Mohanty, Bharat Bhusan Subudhi

Abstract read
In one paragraph

Article in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Mahendra GaurDrug Development and Analysis Laboratory, School of Pharmaceutical Sciences, Siksha O Anusandhan Deemed to be University, Kalinganagar, Ghatikia, Bhubaneswar, Odisha 751003, India.ORCID https://orcid.org/0000-0001-5800-7668
Prabhudutta MamidiDepartment of Microbiology, All India Institute of Medical Sciences Bhubaneswar, Bhubaneswar, Odisha 751019, India.ORCID https://orcid.org/0000-0002-0187-571X
Baijayantimala MishraDepartment of Microbiology, All India Institute of Medical Sciences Bhubaneswar, Bhubaneswar, Odisha 751019, India.
Amrita RayInfectious Disease Biology, Institute of Life Sciences, Bhubaneshwar, Odisha 751023, India.ORCID https://orcid.org/0000-0001-5220-9402
Soma ChattopadhyayInfectious Disease Biology, Institute of Life Sciences, Bhubaneshwar, Odisha 751023, India.ORCID https://orcid.org/0000-0001-8378-1014
Sutapa RathDepartment of Microbiology, All India Institute of Medical Sciences Bhubaneswar, Bhubaneswar, Odisha 751019, India.
Monalisa MohantyDepartment of Microbiology, All India Institute of Medical Sciences Bhubaneswar, Bhubaneswar, Odisha 751019, India.ORCID https://orcid.org/0000-0003-3940-1998
Bharat Bhusan SubudhiDrug Development and Analysis Laboratory, School of Pharmaceutical Sciences, Siksha O Anusandhan Deemed to be University, Kalinganagar, Ghatikia, Bhubaneswar, Odisha 751003, India.ORCID https://orcid.org/0000-0002-2411-7292

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During 2016-2019, Brazil witnessed one of the largest yellow fever virus (YFV) outbreaks. Experimental studies suggested that the epitope recognized by vaccine-specific mAb 411 is strongly associated with the EDIII domain of the E protein. This prompted us to analyze the global protein sequences of the YFV-EDIII domain to explore the conserved mutations that modulate the domain structure. Through comprehensive computational analysis combining sequence alignment, stability prediction, and molecular dynamics simulations, we characterized structural and functional consequences of mutations exclusive to Brazilian strains. Multiple sequence alignments of 223 publicly available YFV protein sequences revealed four prevalent mutations in the EDIII domain: V318A, K331R, I335 M, and I344 V, occurring in more than 65% of the analyzed sequences. Notably, V318A and I335 M mutations were found exclusively in Brazilian strains, while K331R and I344 V showed broader geographic distributions but higher prevalence in South American isolates. Thermodynamic stability predictions using multiple computational approaches revealed that individual mutations, particularly V318A, consistently demonstrated destabilizing effects, with predicted ΔΔ

Identifiers

PMID41768706
PMCPMC12947136

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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.