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Role of Network Pharmacology in Prediction of Mechanism of Neuroprotective Compounds.
Latha, S; Sharma, Ruchika; Kumar, Anoop.
Afiliación
  • Saima; Department of Pharmacology, Delhi Pharmaceutical Science and Research University (DPSRU), New Delhi, India.
  • Latha S; Department of Pharmacology, Delhi Pharmaceutical Science and Research University (DPSRU), New Delhi, India.
  • Sharma R; Centre for Precision Medicine and Pharmacy, Delhi Pharmaceutical Sciences and Research University (DPSRU), New Delhi, India.
  • Kumar A; Department of Pharmacology, Delhi Pharmaceutical Science and Research University (DPSRU), New Delhi, India.
Methods Mol Biol ; 2761: 159-179, 2024.
Article en En | MEDLINE | ID: mdl-38427237
ABSTRACT
Network pharmacology is an emerging pioneering approach in the drug discovery process, which is used to predict the therapeutic mechanism of compounds using various bioinformatic tools and databases. Emerging studies have indicated the use of network pharmacological approaches in various research fields, particularly in the identification of possible mechanisms of herbal compounds/ayurvedic formulations in the management of various diseases. These techniques could also play an important role in the prediction of the possible mechanisms of neuroprotective compounds. The first part of the chapter includes an introduction on neuroprotective compounds based on literature. Further, network pharmacological approaches are briefly discussed. The use of network pharmacology in the prediction of the neuroprotective mechanism of compounds is discussed in detail with suitable examples. Finally, the chapter concludes with the current challenges and future prospectives.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Medicamentos Herbarios Chinos / Farmacología en Red Idioma: En Revista: Methods Mol Biol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2024 Tipo del documento: Article País de afiliación: India Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Medicamentos Herbarios Chinos / Farmacología en Red Idioma: En Revista: Methods Mol Biol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2024 Tipo del documento: Article País de afiliación: India Pais de publicación: Estados Unidos