PT  - JOURNAL ARTICLE
AU  - Ivan Vito Ferrari
TI  - Open access in silico tools to predict the ADMET profiling and PASS (Prediction of Activity Spectra for Substances of Bioactive compounds of Garlic (Allium sativum L.)
AID  - 10.1101/2021.07.18.452815
DP  - 2021 Jan 01
TA  - bioRxiv
PG  - 2021.07.18.452815
4099  - http://biorxiv.org/content/early/2021/07/19/2021.07.18.452815.short
4100  - http://biorxiv.org/content/early/2021/07/19/2021.07.18.452815.full
AB  - Background Garlic (Allium sativum L.) is a common spice with many health benefits, mainly due to its diverse bioactive compounds, (see below) such as organic sulphides, saponins, phenolic compounds, and polysaccharides. Several studies have demonstrated its functions such as anti-inflammatory, antibacterial, and antiviral, antioxidant, cardiovascular protective and anticancer property. In this work we have investigated the main bioactive components of garlic through a bioinformatics approach. Indeed, we are in an era of bioinformatics where we can predict data in the fields of medicine. Approaches with open access in silico tools have revolutionized disease management due to early prediction of the absorption, distribution, metabolism, excretion, and toxicity (ADMET) profiles of the chemically designed and eco-friendly next-generation drugs.Methods This paper encompasses the fundamental functions of open access in silico prediction tools, as PASS database (Prediction of Activity Spectra for Substances) that it estimates the probable biological activity profiles for compounds. This paper also aims to help support new researchers in the field of drug design and to investigate best bioactive compounds in garlic.Results screening through each of pharmacokinetic criteria resulted in identification of Garlic compounds that adhere to all the ADMET properties.Conclusions It was established an open-access database (PASS database, available bioinformatics tool SwissADME, PreADMET pkCSM database) servers were employed to determine the ADMET (metabolism, distribution, excretion, absorption, and toxicity) attributes of garlic molecules and to enable identification of promising molecules that follow ADMET properties.Competing Interest StatementThe authors have declared no competing interest.