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Network Biology of Respiratory Diseases
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Author(s): Rachan Karmakar (Department of Environmental Science, Graphic Era University, Dehradun, India), Divya Gunsola (Department of Microbiology, Graphic Era University, Dehradun, India), Debasis Mitra (Department of Microbiology, Graphic Era University, Dehradun, India), Viralkumar B. Mandaliya (Marwadi University Research Center, Department of Microbiology, Faculty of Science, Marwadi University, Rajkot, India), Arti Thakur (Allied Health Sciences, Desh Bhagat University, Amloh, India), Addisu Assefa (Department of Biology, College of Natural and Computational Science, Madda Walabu University, Bale Robe, Ethiopia), Sourav Chattaraj (Centre for Industrial Biotechnology Research, School of Pharmaceutical Sciences, Siksha O Anusandhan University, Bhubaneswar, India), Mukul Machhindra Barwant (Sanjivani Rural Educal Society, Sanjivani Arts, Commerce, and Science College, Kopargaon, India), Uma Eswaranpillai (Department of Botany, PSGR Krishnammal College for Women, Coimbatore, India)and Ponmurugan Karuppiah (Department of Botany and Microbiology, College of Science, King Saud University, Riyadh, Saudi Arabia)
Copyright: 2026
Pages: 28
Source title:
Next-Generation Bioinformatics for Pulmonary Disease Research
Source Author(s)/Editor(s): Devvret Verma (Graphic Era University, India), Debasis Mitra (Graphic Era University, India), Bhavya Mudgal (Graphic Era University, India), Suraj Vitthaloo Atram (The University of Sheffield, UK)and Rokayya Sami (Taif University, Saudi Arabia)
DOI: 10.4018/979-8-3373-4923-7.ch007
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Abstract
Respiratory illnesses like asthma, COPD, pulmonary fibrosis, and lung cancer significantly impact global health. High-throughput data with computational mapping shows these disorders as molecular network disturbances. Network analyses categorize patients into immune-driven, epithelial-focused, or stromal groups for treatment. Studies identified molecular nodes as therapeutic targets in COPD and pulmonary fibrosis, with exacerbations involving immune activation. Host-pathogen mapping during COVID-19 enabled drug repurposing. Lung-on-a-chip platforms recreate lung environments for clinical translation. Deep learning integrates omics data, reveals relationships, and accelerates biomarker discovery for targeted therapies.
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