In Silico study of Pharmacokinetic and Target Prediction of Chemical Composition from Kaedhatuphikar Recipe

Chawalit  Yongram; Panupan  Sripan; Suwadee  Chokchaisiri; Rumrada  Meeboonya; Orawan  Wonganan; Nichaphat  Kanoksinwuttipong; Thavatchai  Kamoltham; Anuvat  Roongpisuthipong

Chawalit Yongram Suan Sunandha Rajabhat University, Thailand
Panupan Sripan Suan Sunandha Rajabhat University, Thailand
Suwadee Chokchaisiri Suan Sunandha Rajabhat University, Thailand
Rumrada Meeboonya Suan Sunandha Rajabhat University, Thailand
Orawan Wonganan Suan Sunandha Rajabhat University, Thailand
Nichaphat Kanoksinwuttipong Suan Sunandha Rajabhat University, Thailand
Thavatchai Kamoltham Suan Sunandha Rajabhat University, Thailand
Anuvat Roongpisuthipong Suan Sunandha Rajabhat University, Thailand

Keywords: Pharmacokinetic, Target prediction, Kaedhatuphikar recipe, GCMS, Chemical composition

Abstract

Since King Rama V of Siam reign, Thai traditional cannabis medicine has been used to treat several diseases such as relief of pain, sleep problems, and loss of appetite, in particular, Kaedhatuphikar recipe was used for longevity. In this study, the chemical composition of Kaedhatuphikar recipe was analyzed by GCMS technique. Also, the pharmacokinetic and target prediction were studied. The result showed the 34 identified compounds which is piperine (20.49%) as a major compound. The 11 compounds (>1% peak area) demonstrated good pharmacokinetic properties and target prediction demonstrated the cannabinoid receptor as a major target. In conclusion, the Kaedhatuphikar recipe showed the possibility of treating diseases that are relevant to cannabinoid receptors. Therefore, Kaedhatuphikar recipe can be developed for pharmaceutical products.