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Multi-dimensional structural footprint identification for the design of potential scaffolds targeting METTL3 in cancer treatment from natural compounds.
Issahaku, Abdul Rashid; Mncube, Samukelisiwe Minenhle; Agoni, Clement; Kwofie, Samuel K; Alahmdi, Mohamed Issa; Abo-Dya, Nader E; Sidhom, Peter A; Tawfeek, Ahmed M; Ibrahim, Mahmoud A A; Mukelabai, Namutula; Soremekun, Opeyemi; Soliman, Mahmoud E S.
Afiliação
  • Issahaku AR; Molecular Bio-Computation and Drug Design Lab, School of Health Sciences, University of KwaZulu-Natal, Westville Campus, Durban, 4001, South Africa.
  • Mncube SM; West African Centre for Computational Research and Innovation, West Africa, Ghana.
  • Agoni C; Molecular Bio-Computation and Drug Design Lab, School of Health Sciences, University of KwaZulu-Natal, Westville Campus, Durban, 4001, South Africa.
  • Kwofie SK; Molecular Bio-Computation and Drug Design Lab, School of Health Sciences, University of KwaZulu-Natal, Westville Campus, Durban, 4001, South Africa.
  • Alahmdi MI; West African Centre for Computational Research and Innovation, West Africa, Ghana.
  • Abo-Dya NE; West African Centre for Cell Biology of Infectious Pathogens, Department of Biochemistry, Cell and Molecular Biology, College of Basic and Applied Sciences, University of Ghana, LG54, Accra, Ghana.
  • Sidhom PA; Department of Chemistry, Faculty of Science, University of Tabuk, Tabuk, 7149, Saudi Arabia.
  • Tawfeek AM; Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Tabuk University, Tabuk, 71491, Saudi Arabia.
  • Ibrahim MAA; Department of Pharmaceutical Organic Chemistry, Faculty of Pharmacy, Zagazig University, Zagazig, Egypt.
  • Mukelabai N; Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Tanta University, Tanta, 31527, Egypt.
  • Soremekun O; Chemistry Department, College of Science, King Saud University, Riyadh, 11451, Saudi Arabia.
  • Soliman MES; Molecular Bio-Computation and Drug Design Lab, School of Health Sciences, University of KwaZulu-Natal, Westville Campus, Durban, 4001, South Africa.
J Mol Model ; 29(4): 122, 2023 Mar 30.
Article em En | MEDLINE | ID: mdl-36995499
ABSTRACT
CONTEXT [Formula see text]-adenosine-methyltransferase (METTL3) is the catalytic domain of the 'writer' proteins which is involved in the post modifications of [Formula see text]-methyladinosine ([Formula see text]). Though its activities are essential in many biological processes, it has been implicated in several types of cancer. Thus, drug developers and researchers are relentlessly in search of small molecule inhibitors that can ameliorate the oncogenic activities of METTL3. Currently, STM2457 is a potent, highly selective inhibitor of METTL3 but is yet to be approved.

METHODS:

In this study, we employed structure-based virtual screening through consensus docking by using AutoDock Vina in PyRx interface and Glide virtual screening workflow of Schrodinger Glide. Thermodynamics via MM-PBSA calculations was further used to rank the compounds based on their total free binding energies. All atom molecular dynamics simulations were performed using AMBER 18 package. FF14SB force fields and Antechamber were used to parameterize the protein and compounds respectively. Post analysis of generated trajectories was analyzed with CPPTRAJ and PTRAJ modules incorporated in the AMBER package while Discovery studio and UCSF Chimera were used for visualization, and origin data tool used to plot all graphs.

RESULTS:

Three compounds with total free binding energies higher than STM2457 were selected for extended molecular dynamics simulations. The compounds, SANCDB0370, SANCDB0867, and SANCDB1033, exhibited stability and deeper penetration into the hydrophobic core of the protein. They engaged in relatively stronger intermolecular interactions involving hydrogen bonds with resultant increase in stability, reduced flexibility, and decrease in the surface area of the protein available for solvent interactions suggesting an induced folding of the catalytic domain. Furthermore, in silico pharmacokinetics and physicochemical analysis of the compounds revealed good properties suggesting these compounds could serve as promising MEETL3 entry inhibitors upon modifications and optimizations as presented by natural compounds. Further biochemical testing and experimentations would aid in the discovery of effective inhibitors against the berserk activities of METTL3.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Simulação de Dinâmica Molecular / Neoplasias Tipo de estudo: Diagnostic_studies Idioma: En Revista: J Mol Model Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Simulação de Dinâmica Molecular / Neoplasias Tipo de estudo: Diagnostic_studies Idioma: En Revista: J Mol Model Ano de publicação: 2023 Tipo de documento: Article