Table 5.2.

Applications of Network Pharmacology

Traditional medicine	•Scientific evidence for use of Ayurvedic medicine •Understanding the rationale of traditional formulations •Understanding the mechanism of action of Ayurvedic medicines •Safety and efficacy of Ayurvedic medicines •Possible substitutes for endangered botanicals •Network-based designing and prescribing of plant formulations •Analysis of multiple bioactives, studying synergistic action •Botanical biomarkers for quality control
Pharmacology	•To develop new leads from natural products •Understanding the mechanism of action of drugs •Determining the possible side effects of drugs •Predicting new indications •Predicting toxicity •Predicting possible drug–drug interactions •Rational design of drugs based on group of interacting proteins •Drug repurposing
Drug research	•Identifying novel drug targets •Reduced cost and time through in silico evaluation •Understanding the signaling pathway of disease types •Designing experiments based on drugs and targets •Therapeutics for multigene-dependent diseases •Discovery of disease-causing genes •Diagnostic biomarkers •Studying drug resistance or antibiotic resistance