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Research Article Open access CC BY 4.0

Network Pharmacology Approach for Herbal Drugs Intended for the Therapy of Diseases: A Comprehensive Review

Satwika Bonthu, Sarika Pulichintha, Ganga Raju. M., N. V. L. Suvarchala Reddy V.

Asian Journal of Biology · pp. 63–72 · Published 20 Sep 2023

10.9734/ajob/2023/v19i2364

Abstract

The single drug/single target/single disease tactic to medicine detection currently faces many challenges in terms of welfare, efficiency and sustainability. Network biology and multipharmacology approaches have recently gained acceptance as approaches for omics documents incorporation and multi-target drug development, respectively. Combining these two approaches has created a new model termed network pharmacology (NP) that examines the effects of medications on both interaction and disease. Ayurveda, traditional Indian medicine, uses a scientific formula that contains many ingredients and numerous bioactive composites. Though, the scientific basis and methods are still largely unexplored. Network pharmacology is a prediction tool that helps in predicting the bioactives from different databases, respective genes from databases which are expressed during the disease. The genes are also ranked from cytohubba and genes with greater number have greater interactions with other genes. The mechanism can be predicted from different pathways like KEGG pathway. From the obtained data a network can be constructed using cytoscape and represented.

Network pharmacology gene databases cytoscape KEGG pathway protein protein interactions

References (42)

  1. 1 Network pharmacology: the next paradigm in drug discovery [DOI]
  2. 2 The Traditional Medicine and Modern Medicine from Natural Products [DOI]
  3. 3 Network pharmacology [DOI]
  4. 4 Current and future status of herbal medicines [DOI]
  5. 5 Synergistic Effects of Chinese Herbal Medicine: A Comprehensive Review of Methodology and Current Research [DOI]
  6. 6 Network pharmacology applications to map the unexplored target space and therapeutic potential of natural products [DOI]
  7. 7 A review of network-based approaches to drug repositioning [DOI]
  8. 8 Network Pharmacology: A Rosetta Stone for Traditional C hinese Medicine [DOI]
  9. 9 Network-Based Relating Pharmacological and Genomic Spaces for Drug Target Identification [DOI]
  10. 10 A Network Pharmacology Approach to Determine Active Compounds and Action Mechanisms of Ge‐Gen‐Qin‐Lian Decoction for Treatment of Type 2 Diabetes [DOI]
  11. 11 Network Pharmacology Strategies Toward Multi-Target Anticancer Therapies: From Computational Models to Experimental Design Principles [DOI]
  12. 12 Integrated strategy for accurately screening biomarkers based on metabolomics coupled with network pharmacology [DOI]
  13. 13 Analysis of mulberry leaf components in the treatment of diabetes using network pharmacology [DOI]
  14. 14 An Integrative Platform of TCM Network Pharmacology and Its Application on a Herbal Formula,Qing-Luo-Yin [DOI]
  15. 15 Structure and function of a unique pore-forming protein from a pathogenic acanthamoeba [DOI]
  16. 16 A Network Pharmacology Approach to Understanding the Mechanisms of Action of Traditional Medicine: Bushenhuoxue Formula for Treatment of Chronic Kidney Disease [DOI]
  17. 17 Integrating Network Pharmacology and Metabolomics Study on Anti-rheumatic Mechanisms and Antagonistic Effects Against Methotrexate-Induced Toxicity of Qing-Luo-Yin [DOI]
  18. 18 Network Pharmacology: Exploring the Resources and Methodologies [DOI]
  19. 19 Exploring traditional chinese medicine by a novel therapeutic concept of network target [DOI]
  20. 20 A co-module approach for elucidating drug–disease associations and revealing their molecular basis [DOI]
  21. 21 Natural Products in the “Marketplace”: Interfacing Synthesis and Biology [DOI]
  22. 22 A network pharmacology-based approach to analyse potential targets of traditional herbal formulas: An example of Yu Ping Feng decoction [DOI]
  23. 23 Autism: Pathophysiology and Promising Herbal Remedies [DOI]
  24. 24 A network pharmacology approach to determine active ingredients and rationality of herb combinations of Modified-Simiaowan for treatment of gout [DOI]
  25. 25 Network pharmacology-based identification of key pharmacological pathways of Yin–Huang–Qing–Fei capsule acting on chronic bronchitis [DOI]
  26. 26 Network pharmacology-based and clinically relevant prediction of the active ingredients and potential targets of Chinese herbs in metastatic breast cancer patients [DOI]
  27. 27 Effects of anti-inflammatory and adaptogenic herbal extracts on gene expression of eicosanoids signaling pathways in isolated brain cells [DOI]
  28. 28 Adopting Network Pharmacology for Cancer Drug Discovery [DOI]
  29. 29 Network-Based Strategies Can Help Mono- and Poly-pharmacology Drug Discovery: A Systems Biology View [DOI]
  30. 30 A Network Pharmacology Approach to Evaluating the Efficacy of Chinese Medicine Using Genome-Wide Transcriptional Expression Data [DOI]
  31. 31 Synthetic lethal approaches for assessing combinatorial efficacy of chemotherapeutic drugs [DOI]
  32. 32 Exploring the Mechanism of Danshen against Myelofibrosis by Network Pharmacology and Molecular Docking [DOI]
  33. 33 Network Pharmacology of Ginseng (Part II): The Differential Effects of Red Ginseng and Ginsenoside Rg5 in Cancer and Heart Diseases as Determined by Transcriptomics [DOI]
  34. 34 Identification of Novel Key Targets and Candidate Drugs in Oral Squamous Cell Carcinoma [DOI]
  35. 35 Network Pharmacology of Red Ginseng (Part I): Effects of Ginsenoside Rg5 at Physiological and Sub-Physiological Concentrations [DOI]
  36. 36 Polypharmacology and supercomputer-based docking: opportunities and challenges [DOI]
  37. 37 Based on network pharmacology method to discovered the targets and therapeutic mechanism of Paederia scandens against nonalcoholic fatty liver disease in chicken [DOI]
  38. 38 STANDARDI ZATION OF MEDICINAL PLANT MATERIALS
  39. 39 Rectifying Cancer Drug Discovery Through Network Pharmacology [DOI]
  40. 40 Network Pharmacology and Traditional Chinese Medicine [DOI]
  41. 41 Adaptogens in chemobrain (part IV): adaptogenic plants prevent the chemotherapeutics-induced imbalance of redox homeostasis by modulation of expression of genes encoding Nrf2-mediated signaling proteins and antioxidant, metabolizing, detoxifying enzymes in neuroglia cells [DOI]
  42. 42 10.14719/pst.2014.1.2 [DOI]

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