Integrative Bioinformatics for Veterinary Physiology and Animal Health

A special issue of Veterinary Sciences (ISSN 2306-7381).

Deadline for manuscript submissions: 15 November 2026 | Viewed by 1008

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Guest Editor
Department of Biotechnology, Yeungnam University, Gyeongsan 38541, Gyeongbuk, Republic of Korea
Interests: bioinformatics; multi-omics integration; machine learning and deep learning
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Special Issue Information

Dear Colleagues,

Recent advances in genomics, high-throughput sequencing, and computational biology have significantly expanded the scope of veterinary research. The increasing availability of large-scale biological data has created new opportunities to better understand the genetic and molecular mechanisms that regulate animal physiology, disease development, and health management. Integrative bioinformatics provides powerful tools to analyze these complex datasets and to connect genomic information with functional biological processes.

By combining genomics and other omics data with computational analysis, researchers can identify key genes, molecular pathways, and regulatory networks that influence animal health, productivity, and disease resistance. These approaches are becoming increasingly important for improving disease diagnosis, understanding host–pathogen interactions, and supporting precision livestock management and modern breeding strategies.

This Special Issue aims to present recent developments in bioinformatics and computational approaches applied to veterinary physiology and animal health. We welcome original research articles and review papers that explore genomic analysis, multi-omics integration, systems biology, and other data-driven methods that contribute to a deeper understanding of animal biology and health.

Dr. Md Azizul Haque
Guest Editor

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Veterinary Sciences is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2100 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • integrative bioinformatics
  • veterinary physiology
  • animal health
  • veterinary genomics
  • functional genomics
  • multi-omics integration
  • systems biology
  • precision livestock farming
  • genomic selection
  • animal disease genomics
  • machine learning in veterinary science

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Published Papers (1 paper)

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Research

22 pages, 6670 KB  
Article
Potential Host-Directed Mechanisms of Houttuynia cordata in Bovine Mycoplasma bovis Pneumonia: A Network Pharmacology and Molecular Docking Study
by Meihe Zhao, Tingyu Li, Liyin Du, Qinghua Deng, Jingdong Mao, Zhenwei Jia and Yuming Zhang
Vet. Sci. 2026, 13(7), 658; https://doi.org/10.3390/vetsci13070658 - 7 Jul 2026
Viewed by 464
Abstract
Bovine Mycoplasma bovis pneumonia (MBP) is an important component of bovine respiratory disease, and its management is complicated by persistent infection and antimicrobial stewardship concerns. Houttuynia cordata Thunb. has reported anti-inflammatory and immunomodulatory activities, but its potential host-directed mechanisms in MBP remain unclear. [...] Read more.
Bovine Mycoplasma bovis pneumonia (MBP) is an important component of bovine respiratory disease, and its management is complicated by persistent infection and antimicrobial stewardship concerns. Houttuynia cordata Thunb. has reported anti-inflammatory and immunomodulatory activities, but its potential host-directed mechanisms in MBP remain unclear. This in silico study used network pharmacology and molecular docking to identify candidate compounds, common drug–disease targets, enriched biological functions, and predicted ligand–target interactions. A total of 145 putative targets of H. cordata and 474 MBP-associated disease targets were obtained from TCMSP, GeneCards, OMIM, and CTD, yielding 43 common drug–disease targets. Dual-confidence STRING analysis, cytoHubba ranking, and MCODE module analysis prioritized TNF, IL6, IL1B, PTGS2, PPARG, IFNG, CASP3, and MMP9 as candidate core targets. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment indicated convergence on cytokine-mediated signaling, inflammatory response, immune regulation, oxidative stress, IL-17 signaling, and TNF signaling. Molecular docking suggested favorable predicted interactions for quercitrin–PTGS2, quercetin–TNF, quercetin–IL6, and quercitrin–CASP3. These computational findings suggest that H. cordata may be associated with host inflammatory and immune-response modulation in MBP, mainly through flavonoid-related interactions with inflammation- and apoptosis-related targets. Further bovine-specific experimental validation is required before biological activity or practical application can be inferred. Full article
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