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Red Fruit (RF) and Pandan grape (PG) contained bioactive compounds that good for health. The structure influenced the availability and activity, including the interaction with another in the body. It needs time and financial consumption, whereas bioinformation technology offers the solution. The research aims to predict the availability and activity of RF and PG compounds by  in silico  method based on the SAR. Fourteen RF and PF phenolics were evaluated for availability, antioxidant, and antiglycation activity during binding to HSA. The flavonoids showed Pa&gt;0,7 for antioxidant in general, free radical scavenging, and lipid peroxidase inhibitor activity. The availability was shown by the ligand’s capability to bind to HSA. The order of affinity energy from the largest to the smallest was RF flavonoid &gt; PG anthocyanin &gt; GP phenolic acids. Taxifolin and Quercetin still had antioxidant activity during binding because there are free hydroxyl groups. PG chlorogenic acid and RF flavonoids play as an anti-diabetic through antioxidant mechanism and HSA glycation disturbance. Based on this review,  in silico  method is effective as an analysis tool for the activity and mechanism prediction of food bioactive compounds.

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Review: Bioavailability and Activity Prediction of Bioactive Compounds of Red Fruit (Pandanus conoideus Lam.) and Pandan Grape (Sararanga sinousa Hemsley) by in silico Method