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1.
SAR QSAR Environ Res ; 30(12): 865-878, 2019 Dec.
Artículo en Inglés | MEDLINE | ID: mdl-31595789

RESUMEN

DNA methylations are carried out by DNA methyltransferases (DNMTs) that are key enzymes during gene expression. Many chemicals, including pesticides, have shown modulation of epigenetic functions by inhibiting DNMTs. In this work, human DNMTs were evaluated as a potential target for pesticides through virtual screening of 1038 pesticides on DNMT1 (3SWR) and DNMT3A (2QRV). Molecular docking calculations for DNMTs-pesticide complexes were performed using AutoDock Vina. Binding-affinity values and contact patterns were employed as selection criteria of pesticides as virtual hits for DNMTs. The best three DNMT-pesticides complexes selected according to their high absolute affinity values (kcal/mol), for both DNMT1 and DNMT3A, were flocoumafen (-12.5; -9.9), brodifacoum (-12.4; -8.4) and difenacoum (-12.1; -8.7). These chemicals belong to second-generation rodenticides. The most frequent predicted interacting residues for DNMT1-pesticide complexes were Trp1170A, Phe1145A, Asn1578A, Arg1574A and Pro1225A; whereas for DNMT3A those were Arg271B, Lys740A, and Glu303B. These results suggest that rodenticides used for pest control are potential DNMT ligands and therefore, may modulate DNA methylations. This finding has important environmental and clinical implications, as epigenetic pathways are critical in many biochemical processes leading to diseases.


Asunto(s)
ADN (Citosina-5-)-Metiltransferasa 1/química , ADN (Citosina-5-)-Metiltransferasas/química , Inhibidores Enzimáticos/química , Metiltransferasas/metabolismo , Plaguicidas/química , 4-Hidroxicumarinas/química , Simulación por Computador , Metilación de ADN , ADN Metiltransferasa 3A , Bases de Datos de Compuestos Químicos , Humanos , Simulación del Acoplamiento Molecular , Relación Estructura-Actividad Cuantitativa , Reproducibilidad de los Resultados
2.
PLoS One ; 12(6): e0178643, 2017.
Artículo en Inglés | MEDLINE | ID: mdl-28575027

RESUMEN

The amino acid sequence of DNMT2 is very similar to the catalytic domains of bacterial and eukaryotic proteins. However, there is great variability in the region of recognition of the target sequence. While bacterial DNMT2 acts as a DNA methyltransferase, previous studies have indicated low DNA methylation activity in eukaryotic DNMT2, with preference by tRNA methylation. Drosophilids are known as DNMT2-only species and the DNA methylation phenomenon is a not elucidated case yet, as well as the ontogenetic and physiologic importance of DNMT2 for this species group. In addition, more recently study showed that methylation in the genome in Drosophila melanogaster is independent in relation to DNMT2. Despite these findings, Drosophilidae family has more than 4,200 species with great ecological diversity and historical evolution, thus we, therefore, aimed to examine the drosophilids DNMT2 in order to verify its conservation at the physicochemical and structural levels in a functional context. We examined the twenty-six DNMT2 models generated by molecular modelling and five crystallographic structures deposited in the Protein Data Bank (PDB) using different approaches. Our results showed that despite sequence and structural similarity between species close related, we found outstanding differences when they are analyzed in the context of surface distribution of electrostatic properties. The differences found in the electrostatic potentials may be linked with different affinities and processivity of DNMT2 for its different substrates (DNA, RNA or tRNA) and even for interactions with other proteins involved in the epigenetic mechanisms.


Asunto(s)
ADN (Citosina-5-)-Metiltransferasas/química , Proteínas de Drosophila/química , Epigénesis Genética , Conformación Proteica , Electricidad Estática , Secuencia de Aminoácidos , Animales , ADN (Citosina-5-)-Metiltransferasas/metabolismo , Proteínas de Drosophila/metabolismo , Drosophila melanogaster , Cinética , Modelos Moleculares , Filogenia
3.
Mol Divers ; 17(2): 337-44, 2013 May.
Artículo en Inglés | MEDLINE | ID: mdl-23447100

RESUMEN

Inhibitors of DNA methyltransferase (DNMT) are attractive compounds not only as potential therapeutic agents for the treatment of cancer and other diseases, but also as research tools to investigate the role of DNMTs in epigenetic events. Recent advances in high-throughput screening (HTS) for epigenetic targets and the availability of the first crystallographic structure of human DNMT1 encourage the integration of research strategies to uncover and optimize the activity of DNMT inhibitors. Herein, we present a binding model of a novel small-molecule DNMT1 inhibitor obtained by HTS, recently released in a public database. The docking model is in agreement with key interactions previously identified for established inhibitors using extensive computational studies including molecular dynamics and structure-based pharmacophore modeling. Based on the chemical structure of the novel inhibitor, a sequential computational screening of five chemical databases was performed to identify candidate compounds for testing. Similarity searching followed by molecular docking of chemical databases such as approved drugs, natural products, a DNMT-focused library, and a general screening collection, identified at least 108 molecules with promising DNMT inhibitory activity. The chemical structures of all hit compounds are disclosed to encourage the research community working on epigenetics to test experimentally the enzymatic and demethylating activity in vivo. Five candidate hits are drugs approved for other indications and represent potential starting points of a drug repurposing strategy.


Asunto(s)
Productos Biológicos/química , ADN (Citosina-5-)-Metiltransferasas/antagonistas & inhibidores , Inhibidores Enzimáticos/química , Simulación del Acoplamiento Molecular , Bibliotecas de Moléculas Pequeñas/química , Algoritmos , ADN (Citosina-5-)-Metiltransferasa 1 , ADN (Citosina-5-)-Metiltransferasas/química , Bases de Datos de Compuestos Químicos , Reposicionamiento de Medicamentos , Ensayos Analíticos de Alto Rendimiento , Humanos , Relación Estructura-Actividad Cuantitativa
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