Evidence map›Paper›PMID 42168735›Full record

ArticleVirus genes2026

Decoding classical swine fever virus-swine protein interactions: a bioinformatics approach to targeted viral control.

Manohar Jebakumar Ravikumar, Akshatha Velankar, Prathipa Krishnan, Mouna Venkataramappa, Neha Naik, Nagarajan Siddharthan, Kuralayanapalya Puttahonnappa Suresh, Jagadish Hiremath, Shivasharanappa Nayakvadi, Sharanagouda Shiddanagouda Patil

Abstract read
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In one paragraph

Article in Virus genes, 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
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0citing papers in PubMed
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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

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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

10 authors.

Manohar Jebakumar RavikumarICAR-National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Yelahanka, Post Box No: 6450, Bengaluru, 560119, India.
Akshatha VelankarICAR-National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Yelahanka, Post Box No: 6450, Bengaluru, 560119, India.
Prathipa KrishnanDepartment of Artificial Intelligence, SRM University, SRM Nagar, Kattankulathur Chengalpattu District, Chennai, Tamil Nadu, 603 203, India.
Mouna VenkataramappaICAR-National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Yelahanka, Post Box No: 6450, Bengaluru, 560119, India.
Neha NaikICAR-National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Yelahanka, Post Box No: 6450, Bengaluru, 560119, India.
Nagarajan SiddharthanICAR-National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Yelahanka, Post Box No: 6450, Bengaluru, 560119, India.
Kuralayanapalya Puttahonnappa SureshICAR-National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Yelahanka, Post Box No: 6450, Bengaluru, 560119, India.
Jagadish HiremathICAR-National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Yelahanka, Post Box No: 6450, Bengaluru, 560119, India.
Shivasharanappa NayakvadiICAR-National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Yelahanka, Post Box No: 6450, Bengaluru, 560119, India.
Sharanagouda Shiddanagouda PatilICAR-National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Yelahanka, Post Box No: 6450, Bengaluru, 560119, India. sharanspin13@gmail.com.

Funding

DAHD, Government of India under livestock health and disease control scheme (No. K-11053(5313)/21/2019-LH (E-14082))
6 · The paper itself

Abstract

This study mapped and analyzed protein-protein interactions (PPIs) between classical swine fever virus (CSFV) proteins and 19 swine host proteins to uncover key molecular mechanisms underlying viral infection and pathogenesis. An integrated bioinformatics workflow was implemented in Google Colab, combining structural modeling, binding affinity estimation, and network analysis to predict and evaluate interactions involving CSFV proteins (E1, E2, NS5A, protein C, etc.) and host proteins such as signalosome subunit 2, IQGAP1, and MYO1B. Predicted interaction scores (in silico KD equivalents in the range of 10⁻⁷-10⁻

Indexed as

Classical Swine FeverClassical Swine Fever VirusComputational BiologyHost-Pathogen InteractionsViral ProteinsAnimalsProtein Interaction MappingProtein Interaction MapsSwineViral ProteinsBioinformaticsClassical swine fever virus (CSFV)Host–pathogen interactionsNetwork analysisProtein–protein interactions (PPIs)Vaccine development

Identifiers

PMID42168735

What OpenQuestion holds

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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.