FMS-like tyrosine kinase-3 (FLT3) inhibitors with better binding affinity and ADMET properties than sorafenib and gilteritinib against acute myeloid leukemia: in silico studies.


Journal

Journal of biomolecular structure & dynamics
ISSN: 1538-0254
Titre abrégé: J Biomol Struct Dyn
Pays: England
ID NLM: 8404176

Informations de publication

Date de publication:
2022
Historique:
pubmed: 7 9 2021
medline: 24 12 2022
entrez: 6 9 2021
Statut: ppublish

Résumé

Over 30-35% of patients down with AML are caused by mutations of FLT3-ITD and FLT3-TKD which keeps the protein activated while it activates other signaling proteins downstream that are involved in cell proliferation, differentiation, and survival. As drug targets, many inhibitors are already in clinical practice. Unfortunately, the average overall survival rate for patients on medication suffering from AML is 5 years despite the huge efforts in this field. To perform docking simulation and ADMET studies on selected phytochemicals against FLT3 protein receptor for drug discovery against FLT3 induced AML, molecular docking simulation was performed using human FLT3 protein target (PDB ID: 6JQR) and 313 phytochemicals with standard anticancer drugs (Sorafenib and Gilteritinib in addition to other anticancer drugs). The crystal structure of the protein was downloaded from the protein data bank and prepared using Biovia Discovery Studio. The chemical structures of the phytochemicals were downloaded from the NCBI PubChem database and prepared using Open Babel and VConf softwares. Molecular docking was performed using PyRx on Autodock Vina. The ADMET properties of the best performing compounds were calculated using SwissADME and pkCMS web servers. The results obtained showed that glabridin, ellipticine and derivatives (elliptinium and 9-methoxyellipticine), mezerein, ursolic acid, formononetin, cycloartocarpesin, hypericin, silymarin, and indirubin are the best performing compounds better than sorafenib and gilteritinib based on their binding affinities. The top-performing compounds which had better binding and ADMET properties than sorafenib and gilteritinib could serve as scaffolds or leads for new drug discovery against FLT3 induced AML.Communicated by Ramaswamy H. Sarma.

Identifiants

pubmed: 34486940
doi: 10.1080/07391102.2021.1969286
doi:

Substances chimiques

Sorafenib 9ZOQ3TZI87
gilteritinib 0
Vascular Endothelial Growth Factor Receptor-1 EC 2.7.10.1
fms-Like Tyrosine Kinase 3 EC 2.7.10.1
Protein Kinase Inhibitors 0
Phenylurea Compounds 0
Antineoplastic Agents 0
FLT3 protein, human EC 2.7.10.1

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

12248-12259

Auteurs

Chukwuebuka Egbuna (C)

Africa Centre of Excellence in Public Health and Toxicological Research (ACE-PUTOR), University of Port-Harcourt, Port Harcourt, Rivers State, Nigeria.
Department of Biochemistry, Faculty of Science, University of Port Harcourt, Port Harcourt, Rivers State, Nigeria.
Department of Biochemistry, Faculty of Natural Sciences, Chukwuemeka Odumegwu Ojukwu University, Uli, Anambra State, Nigeria.

Kingsley C Patrick-Iwuanyanwu (KC)

Africa Centre of Excellence in Public Health and Toxicological Research (ACE-PUTOR), University of Port-Harcourt, Port Harcourt, Rivers State, Nigeria.
Department of Biochemistry, Faculty of Science, University of Port Harcourt, Port Harcourt, Rivers State, Nigeria.

Eugene N Onyeike (EN)

Africa Centre of Excellence in Public Health and Toxicological Research (ACE-PUTOR), University of Port-Harcourt, Port Harcourt, Rivers State, Nigeria.
Department of Biochemistry, Faculty of Science, University of Port Harcourt, Port Harcourt, Rivers State, Nigeria.

Johra Khan (J)

Department of Medical Laboratory Sciences, College of Applied Medical Sciences, Majmaah University, Majmaah, Saudia Arabia.
Health and Basic Sciences Research Center, Majmaah University, Majmaah, Saudi Arabia.

Bader Alshehri (B)

Department of Medical Laboratory Sciences, College of Applied Medical Sciences, Majmaah University, Majmaah, Saudia Arabia.
Health and Basic Sciences Research Center, Majmaah University, Majmaah, Saudi Arabia.

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Classifications MeSH