In Silico Analysis and ADMET Prediction of Flavonoid Compounds from Syzigium cumini var. album on α-Glucosidase Receptor for Searching Anti-Diabetic Drug Candidates

• Main Authors: Yanu Andhiarto, -, Suciati, -, Ersanda Nurma Praditapuspa, -, Sukardiman, -
• Format: Article PeerReviewed
• Language: English; English; English
• Published: Pharmacognosy Network Worldwide 2022
• Subjects: R Medicine; RS Pharmacy and materia medica; RS1-441 Pharmacy and materia medica; RS200-201 Pharmaceutical dosage forms
• Online Access: https://repository.unair.ac.id/125055/1/C-14_Artikel.pdf; https://repository.unair.ac.id/125055/2/C-14%20kualitas%20karil%20dan%20validasi%20kadep.pdf; https://repository.unair.ac.id/125055/3/C-14_Similarity.pdf; https://repository.unair.ac.id/125055/; https://www.phcogj.com/article/1904; http://dx.doi.org/10.5530/pj.2022.14.161
• Institution: Universitas Airlangga

Background: One of the causes of death is diabetes. Anti-diabetic drugs currently available do not work optimally because some have been reported to have side effect and resistance. Objective: This study aimed to flavonoid compounds from Syzygium cumini var. album with the greatest anti-diabetic act...