Abstract: OBJECTIVE To explore the anti-respiratory syncytial virus(RSV) pharmacodynamic material basis of Scutellaria Baicalensis. METHODS Network pharmacology method was used to analyze the anti-RSV targets of Scutellaria baicalensis. UPLC-QTOF-MS/MS was used to characterize the consensus components in Scutellaria Baicalensis. A mouse model of RSV pneumonia was established, and the changes of mouse body weight, lung index, lung pathological sections and IL-6 were detected. The gray correlation method was used to analyze the spectrum-effect data of 50 batches of Scutellaria baicalensis samples, and the effective components of Scutellaria baicalensis against RSV pneumonia mice were mined. RESULTS The protein-protein interaction network results determined that the core targets of Scutellaria baicalensis against RSV were AKT1, IL-6, TNF, MAPK3, SRC, HSP90AA1 and PTGS2; overall animal experiment proved that lung index of Scutellaria baicalensis decreased to varying degrees, and the inflammatory factor IL-6 had significant differences; grey correlation analysis showed that the anti-RSV chemical components in Scutellaria baicalensis were mainly flavonoid glycosides.CONCLUSION Using the network pharmacology method to determine the pharmacodynamic target, the gray correlation degree analysis component-target data, the method of mining the pharmacodynamic material basis is feasible, baicalin, wogonin, chrysin-6-C-arabinose-8-C-flavonoid glycoside, chrysin-6-C-arabinose-8-C-arabinoside and chrysin-7-O-glucuronide can be used as Q-Markers of Scutellaria baicalensis for quality evaluation.