INPUT

INPUT integrates curated datasets and performs automated network pharmacology analyses to elucidate molecular mechanisms of traditional Chinese medicine (TCM) in disease treatment.

Key Features:

• Data Integration: INPUT aggregates and reorganizes curated datasets from multiple resources into a unified repository for TCM network pharmacology studies.
• Automated Analysis: INPUT applies embedded bioinformatics tools to perform automatic network pharmacology analyses of TCM components and formulas.
• Custom Data Handling: INPUT accepts proprietary user data to analyze pivotal ingredients, Gene Ontology (GO) terms, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, and protein-protein interactions.
• Proof-of-Principle Application: INPUT has been applied to investigate the antidepressant mechanisms of a commonly used TCM prescription.

Scientific Applications:

• Pharmacological interpretation: INPUT aids identification of active components, their biological targets, and interaction networks within TCM formulations.
• Pathway and function analysis: INPUT supports analysis of GO terms and KEGG pathways to link TCM components to biological processes and pathways.
• Protein interaction mapping: INPUT facilitates exploration of protein-protein interactions to reveal molecular interactions underlying TCM effects.
• Drug discovery and mechanism elucidation: INPUT supports drug discovery efforts and the elucidation of treatment mechanisms using public and proprietary datasets.

Methodology:

INPUT integrates diverse data sources into a cohesive network pharmacology framework and uses embedded bioinformatics tools to perform automated analyses that dissect interactions between TCM components and biological targets, including exploration of GO terms, KEGG pathways, and protein-protein interactions.