Integrative Proteomics and Systems Biology

Overview

Integrative proteomics and systems biology is the combined study of proteins and the biological networks they form, uniting large-scale protein measurement with computational modeling to understand how molecular components produce cellular behavior. Proteomics supplies quantitative data on protein abundance, modification, localization, and interactions, while systems biology provides the frameworks to assemble these measurements into networks and predictive models. The integrative approach merges proteomic data with genomic, transcriptomic, and other molecular layers so that observations such as variant associations, altered protein expression in disease tissue, or pathway perturbations can be interpreted in the context of an entire system rather than as isolated findings. Methods include mass spectrometry-based quantification, interaction and pathway mapping, statistical and machine-learning analysis, and network and dynamic modeling that link genotype to molecular phenotype. By relating proteins to the genes that encode them and the pathways they regulate, the field identifies emergent properties, candidate biomarkers, and mechanisms underlying complex diseases, including those involving polymorphisms and altered protein function. Reliable integration depends on standardized data, careful normalization, and cross-validation across datasets. Ultimately, integrative proteomics and systems biology supports a holistic, mechanism-oriented view of cellular function that informs hypothesis generation, drug-target discovery, and the move toward predictive and personalized biomedicine.

Research published in this journal

5 peer-reviewed articles, ranked by relevance. Each links to its DOI.

How this research is being cited

The 5 articles above have been cited 62 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.

• Peripheral biomarkers of neuroinflammation in Alzheimer’s disease and vascular dementia
  2026 · Biochemical Pharmacology
• Association of peripheral blood NLRP3, sTREM2, and p-tau217 levels with cognitive outcomes in patients with chronic alcohol-related brain damage
  2026 · Alcohol and Alcoholism
• Chronic alcohol consumption induces phenotypic and functional alterations consistent with a hyper-inflammatory state in peripheral blood mononuclear cell-derived microglia in a rhesus macaque model
  Hami Hemati et al. · 2025 · Brain, behavior, and immunity
• Improving T2D machine learning-based prediction accuracy with SNPs and younger age
  2025 · Computational and Structural Biotechnology Journal
• Investigation of Aldose Reductase Inhibitors: Implications for Therapeutic Targets in Diabetic Retinopathy
  2025 · Journal of Molecular Structure
• Chronic alcohol consumption induces phenotypic and functional alterations consistent with a hyper-inflammatory state in peripheral blood mononuclear cell-derived microglia in a rhesus macaque model
  2025 · Brain Behavior and Immunity
• Investigation of aldose reductase inhibitors: Implications for therapeutic targets in diabetic retinopathy
  2025 · Journal of Molecular Structure
• Improving T2D machine learning-based prediction accuracy with SNPs and younger age
  Cynthia Al Hageh et al. · 2025 · Computational and Structural Biotechnology Journal

A sample of recent works citing this journal's research on Integrative Proteomics and Systems Biology, linking to each citing work.

This page summarises published research for orientation; it is not medical or professional advice.

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