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I. V. Ferrari1 , M. Di Mario2 , R. Narducci3 , Annalisa Bracco4 , P. Patrizio5
Section:Research Paper, Product Type: Journal-Paper
Vol.7 ,
Issue.11 , pp.30-34, Nov-2021
Online published on Nov 30, 2021
Copyright © I. V. Ferrari, M. Di Mario, R. Narducci, Annalisa Bracco, P. Patrizio . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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IEEE Style Citation: I. V. Ferrari, M. Di Mario, R. Narducci, Annalisa Bracco, P. Patrizio, “Open access in Silico Tools to predict the ADMET profiling for Substances of Bioactive compounds of Garlic (Allium sativum L.),” International Journal of Scientific Research in Multidisciplinary Studies , Vol.7, Issue.11, pp.30-34, 2021.
MLA Style Citation: I. V. Ferrari, M. Di Mario, R. Narducci, Annalisa Bracco, P. Patrizio "Open access in Silico Tools to predict the ADMET profiling for Substances of Bioactive compounds of Garlic (Allium sativum L.)." International Journal of Scientific Research in Multidisciplinary Studies 7.11 (2021): 30-34.
APA Style Citation: I. V. Ferrari, M. Di Mario, R. Narducci, Annalisa Bracco, P. Patrizio, (2021). Open access in Silico Tools to predict the ADMET profiling for Substances of Bioactive compounds of Garlic (Allium sativum L.). International Journal of Scientific Research in Multidisciplinary Studies , 7(11), 30-34.
BibTex Style Citation:
@article{Ferrari_2021,
author = {I. V. Ferrari, M. Di Mario, R. Narducci, Annalisa Bracco, P. Patrizio},
title = {Open access in Silico Tools to predict the ADMET profiling for Substances of Bioactive compounds of Garlic (Allium sativum L.)},
journal = {International Journal of Scientific Research in Multidisciplinary Studies },
issue_date = {11 2021},
volume = {7},
Issue = {11},
month = {11},
year = {2021},
issn = {2347-2693},
pages = {30-34},
url = {https://www.isroset.org/journal/IJSRMS/full_paper_view.php?paper_id=2591},
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
UR - https://www.isroset.org/journal/IJSRMS/full_paper_view.php?paper_id=2591
TI - Open access in Silico Tools to predict the ADMET profiling for Substances of Bioactive compounds of Garlic (Allium sativum L.)
T2 - International Journal of Scientific Research in Multidisciplinary Studies
AU - I. V. Ferrari, M. Di Mario, R. Narducci, Annalisa Bracco, P. Patrizio
PY - 2021
DA - 2021/11/30
PB - IJCSE, Indore, INDIA
SP - 30-34
IS - 11
VL - 7
SN - 2347-2693
ER -
Abstract :
in this work, we have investigated the main bioactive components of garlic through a bioinformatics approach. Particular attention, we focused on the role of two active garlic compounds: S-allyl cysteine (SAC), S-allyl mercapto cysteine (SAMC), respectively. We investigated their biological and chemical property by different in Silico Tools databases, as PASS database, SwissADME, PreADMET and pkCSM. They were employed to determine their ADMET properties (metabolism, distribution, excretion, absorption, and toxicity).
Key-Words / Index Term :
PASS Online , ADMET, S-allylcysteine (SAC), S-allylmercaptocysteine (SAMC)
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