In addition to testing the physiochemical efficiency of a given molecule to inhibit the target protein, other parameters such as absorption, distribution, metabolism, excretion, and toxicity (ADMET) of the inhibitor play a critical role on demonstrating the likelihood of success of a drug. Utilization of in-silico ADMET profiling, in combination with in vivo and in vitro predictions in the initial stage of the screening process, can significantly fasten the drug discovery process by minimizing the number of potential safety problems. Hence, we performed a detailed ADMET profiling to evaluate the drug likeliness of the four polyphenols: EGCG, TF2a, TF2b, TF3 that exhibited the highest score from the MD simulation and MM-PBSA study along with the positive control remdesivir.