Open Access
Structure based pharmacophore modeling, virtual screening, molecular docking and ADMET approaches for identification of natural anti-cancer agents targeting XIAP protein
Firoz A Dain Md Opo
1, 2
,
Mohammed M. Rahman
3
,
Foysal Ahammad
4
,
Istiak Ahmed
5
,
Mohiuddin Ahmed Bhuiyan
2
,
Abdullah M. Asiri
3
Publication type: Journal Article
Publication date: 2021-02-18
scimago Q1
wos Q1
SJR: 0.874
CiteScore: 6.7
Impact factor: 3.9
ISSN: 20452322
PubMed ID:
33603068
Multidisciplinary
Abstract
X-linked inhibitor of apoptosis protein (XIAP) is a member of inhibitor of apoptosis protein (IAP) family responsible for neutralizing the caspases-3, caspases-7, and caspases-9. Overexpression of the protein decreased the apoptosis process in the cell and resulting development of cancer. Different types of XIAP antagonists are generally used to repair the defective apoptosis process that can eliminate carcinoma from living bodies. The chemically synthesis compounds discovered till now as XIAP inhibitors exhibiting side effects, which is making difficulties during the treatment of chemotherapy. So, the study has design to identifying new natural compounds that are able to induce apoptosis by freeing up caspases and will be low toxic. To identify natural compound, a structure-based pharmacophore model to the protein active site cavity was generated following by virtual screening, molecular docking and molecular dynamics (MD) simulation. Initially, seven hit compounds were retrieved and based on molecular docking approach four compounds has chosen for further evaluation. To confirm stability of the selected drug candidate to the target protein the MD simulation approach were employed, which confirmed stability of the three compounds. Based on the finding, three newly obtained compounds namely Caucasicoside A (ZINC77257307), Polygalaxanthone III (ZINC247950187), and MCULE-9896837409 (ZINC107434573) may serve as lead compounds to fight against the treatment of XIAP related cancer, although further evaluation through wet lab is necessary to measure the efficacy of the compounds.
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Total citations:
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Citations from 2024:
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Opo F. A. D. M. et al. Structure based pharmacophore modeling, virtual screening, molecular docking and ADMET approaches for identification of natural anti-cancer agents targeting XIAP protein // Scientific Reports. 2021. Vol. 11. No. 1. 4049
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Opo F. A. D. M., Rahman M. M., Ahammad F., Ahmed I., Bhuiyan M. A., Asiri A. M. Structure based pharmacophore modeling, virtual screening, molecular docking and ADMET approaches for identification of natural anti-cancer agents targeting XIAP protein // Scientific Reports. 2021. Vol. 11. No. 1. 4049
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TY - JOUR
DO - 10.1038/s41598-021-83626-x
UR - https://doi.org/10.1038/s41598-021-83626-x
TI - Structure based pharmacophore modeling, virtual screening, molecular docking and ADMET approaches for identification of natural anti-cancer agents targeting XIAP protein
T2 - Scientific Reports
AU - Opo, Firoz A Dain Md
AU - Rahman, Mohammed M.
AU - Ahammad, Foysal
AU - Ahmed, Istiak
AU - Bhuiyan, Mohiuddin Ahmed
AU - Asiri, Abdullah M.
PY - 2021
DA - 2021/02/18
PB - Springer Nature
IS - 1
VL - 11
PMID - 33603068
SN - 2045-2322
ER -
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@article{2021_Opo,
author = {Firoz A Dain Md Opo and Mohammed M. Rahman and Foysal Ahammad and Istiak Ahmed and Mohiuddin Ahmed Bhuiyan and Abdullah M. Asiri},
title = {Structure based pharmacophore modeling, virtual screening, molecular docking and ADMET approaches for identification of natural anti-cancer agents targeting XIAP protein},
journal = {Scientific Reports},
year = {2021},
volume = {11},
publisher = {Springer Nature},
month = {feb},
url = {https://doi.org/10.1038/s41598-021-83626-x},
number = {1},
pages = {4049},
doi = {10.1038/s41598-021-83626-x}
}