Evidence map›Paper›PMID 30664908›Full record

ArticleVirus research2019

Analysis of codon usage patterns and influencing factors in Nipah virus.

Supriyo Chakraborty, Bornali Deb, Parvin A Barbhuiya, Arif Uddin

Open access · greenAbstract read
In one paragraph

Article in Virus research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.4field-weighted citation impact, top 8% of its field
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

18 citing papers in PubMed, 48 citations in OpenAlex.

  1. Review
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  4. Nipah virus: pathogenesis, genome, diagnosis, and treatment.Applied microbiology and biotechnology · 2025
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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

4 authors at 1 institution in 1 country.

Supriyo ChakrabortyDepartment of Biotechnology, Assam University, Silchar 788011, Assam, India. Electronic address: supriyoch_2008@rediffmail.com.
Bornali DebDepartment of Biotechnology, Assam University, Silchar 788011, Assam, India.
Parvin A BarbhuiyaDepartment of Biotechnology, Assam University, Silchar 788011, Assam, India.
Arif UddinDepartment of Zoology, Moinul Hoque Choudhury Memorial Science College, Algapur, Hailakandi 788150, Assam, India.
Assam University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Codon usage bias (CUB) is the unequal usage of synonymous codons of an amino acid in which some codons are used more often than others and is widely used in understanding molecular biology, genetics, and functional regulation of gene expression. Nipah virus (NiV) is an emerging zoonotic paramyxovirus that causes fatal disease in both humans and animals. NiV was first identified during an outbreak of a disease in Malaysia in 1998 and then occurred periodically since 2001 in India, Bangladesh, and the Philippines. We used bioinformatics tools to analyze the codon usage patterns in a genome-wide manner among 11 genomes of NiV as no work was reported yet. The compositional properties revealed that the overall GC and AT contents were 41.96 and 58.04%, respectively i.e. Nipah virus genes were AT-rich. Correlation analysis between overall nucleotide composition and its 3

Indexed as

CodonGenome, ViralBase CompositionComputational BiologyNipah VirusSelection, GeneticCodonCodon usage biasMutation pressureNatural selectionNipah virus

Identifiers

PMID30664908
PMCPMC7114725
OpenAlexW2909986490

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.