Advances in the computational development of DNA methyltransferase inhibitors

Annonaceous acetogenins as promising DNA methylation inhibitors to prevent and treat leukemogenesis - an in silico approach

Leukemia is a haematological malignancy affecting blood and bone marrow, ranking 10th among the other common cancers. DNA methylation is an epigenetic dysregulation that plays a critical role in leukemogenesis. DNA methyltransferases (DNMTs) such as DNMT1, DNMT3A and DNMT3B are the key enzymes catalysing DNA methylation. Inhibition of DNMT1 with secondary metabolites from medicinal plants helps reverse DNA methylation. The present study focuses on inhibiting DNMT1 protein (PDB ID: 3PTA) with annonaceous acetogenins through in-silico studies. The docking and molecular dynamic (MD) simulation study was carried out using Schrödinger Maestro and Desmond, respectively. These compounds' drug likeliness, ADMET properties and bioactivity scores were analysed. About 76 different acetogenins were chosen for this study, among which 17 showed the highest binding energy in the range of -8.312 to -10.266 kcal/mol. The compounds with the highest negative binding energy were found to be annohexocin (-10.266 kcal/mol), isoannonacinone (-10.209 kcal/mol) and annonacin (-9.839 kcal/mol). MD simulation results reveal that annonacin remains stable throughout the simulation time of 100 ns and also binds to the catalytic domain of DNMT1 protein. From the above results, it can be concluded that annonacin has the potential to inhibit the DNA methylation process and prevent leukemogenesis.Communicated by Ramaswamy H. Sarma.

An Epigenetic Role of Mitochondria in Cancer

Mitochondria are not only the main energy supplier but are also the cell metabolic center regulating multiple key metaborates that play pivotal roles in epigenetics regulation. These metabolites include acetyl-CoA, α-ketoglutarate (α-KG), S-adenosyl methionine (SAM), NAD⁺, and O-linked beta-N-acetylglucosamine (O-GlcNAc), which are the main substrates for DNA methylation and histone post-translation modifications, essential for gene transcriptional regulation and cell fate determination. Tumorigenesis is attributed to many factors, including gene mutations and tumor microenvironment. Mitochondria and epigenetics play essential roles in tumor initiation, evolution, metastasis, and recurrence. Targeting mitochondrial metabolism and epigenetics are promising therapeutic strategies for tumor treatment. In this review, we summarize the roles of mitochondria in key metabolites required for epigenetics modification and in cell fate regulation and discuss the current strategy in cancer therapies via targeting epigenetic modifiers and related enzymes in metabolic regulation. This review is an important contribution to the understanding of the current metabolic-epigenetic-tumorigenesis concept.

Molecular Similarity Perception Based on Machine-Learning Models

Molecular similarity is an impressively broad topic with many implications in several areas of chemistry. Its roots lie in the paradigm that ‘similar molecules have similar properties’. For this reason, methods for determining molecular similarity find wide application in pharmaceutical companies, e.g., in the context of structure-activity relationships. The similarity evaluation is also used in the field of chemical legislation, specifically in the procedure to judge if a new molecule can obtain the status of orphan drug with the consequent financial benefits. For this procedure, the European Medicines Agency uses experts’ judgments. It is clear that the perception of the similarity depends on the observer, so the development of models to reproduce the human perception is useful. In this paper, we built models using both 2D fingerprints and 3D descriptors, i.e., molecular shape and pharmacophore descriptors. The proposed models were also evaluated by constructing a dataset of pairs of molecules which was submitted to a group of experts for the similarity judgment. The proposed machine-learning models can be useful to reduce or assist human efforts in future evaluations. For this reason, the new molecules dataset and an online tool for molecular similarity estimation have been made freely available.

Methyl benzoate and cinnamate analogs as modulators of DNA methylation in hepatocellular carcinoma

Phenolic acids represent a large collection of phytochemical molecules present in the plant kingdom; they have an important role as epigenetic regulators, particularly as inhibitors of DNA methylation. In the present study, 14 methyl benzoate and cinnamate analogs were synthesized (11-24). Their cytotoxic activity on hepatocellular carcinoma cells (Hep3B) and immortalized human hepatocyte cells was then evaluated. In addition, its effect on the inhibition of global DNA methylation in Hep3B was also determined. Our results showed that the cinnamic derivatives 11-14 and 20-22 were more potent than the free caffeic acid (IC₅₀ 109.7-364.2 µM), being methyl 3,4-dihydroxycinammate (12) the most active with an IC₅₀  = 109.7 ± 0.8 µM. Furthermore, 11-14, 20-23 compounds decreased overall DNA methylation levels by 63% to 97%. The analogs methyl 4-hydroxycinnamate (11), methyl 3,4,5-trimethoxycinnamate (14), methyl 4-methoxycinnamate (21), and methyl 3,4-dimethoxycinnamate (22) showed relevant activities of both cytotoxicity and global DNA methylation inhibition. The molecular docking of 21 and 14 suggested that they partly bind to the SAH-binding pocket of DNA methyltransferase 1. These results emphasize the importance of natural products and their analogs as potential sources of DNA methylation modulating agents.

A Virtual Screening Platform Identifies Chloroethylagelastatin A as a Potential Ribosomal Inhibitor

Chloroethylagelastatin A (CEAA) is an analogue of agelastatin A (AA), a natural alkaloid derived from a marine sponge. It is under development for therapeutic use against brain tumors as it has excellent central nervous system (CNS) penetration and pre-clinical therapeutic activity against brain tumors. Recently, AA was shown to inhibit protein synthesis by binding to the ribosomal A-site. In this study, we developed a novel virtual screening platform to perform a comprehensive screening of various AA analogues showing that AA analogues with proven therapeutic activity including CEAA have significant ribosomal binding capacity whereas therapeutically inactive analogues show poor ribosomal binding and revealing structural fingerprint features essential for drug-ribosome interactions. In particular, CEAA was found to have greater ribosomal binding capacity than AA. Biological tests showed that CEAA binds the ribosome and contributes to protein synthesis inhibition. Our findings suggest that CEAA may possess ribosomal inhibitor activity and that our virtual screening platform may be a useful tool in discovery and development of novel ribosomal inhibitors.

Natural Products Impacting DNA Methyltransferases and Histone Deacetylases

Epigenetics refers to heritable changes in gene expression and chromatin structure without change in a DNA sequence. Several epigenetic modifications and respective regulators have been reported. These include DNA methylation, chromatin remodeling, histone post-translational modifications, and non-coding RNAs. Emerging evidence has revealed that epigenetic dysregulations are involved in a wide range of diseases including cancers. Therefore, the reversible nature of epigenetic modifications concerning activation or inhibition of enzymes involved could be promising targets and useful tools for the elucidation of cellular and biological phenomena. In this review, emphasis is laid on natural products that inhibit DNA methyltransferases (DNMTs) and histone deacetylases (HDACs) making them promising candidates for the development of lead structures for anticancer-drugs targeting epigenetic modifications. However, most of the natural products targeting HDAC and/or DNMT lack isoform selectivity, which is important for determining their potential use as therapeutic agents. Nevertheless, the structures presented in this review offer the well-founded basis that screening and chemical modifications of natural products will in future provide not only leads to the identification of more specific inhibitors with fewer side effects, but also important features for the elucidation of HDAC and DNMT function with respect to cancer treatment.

De novo methyltransferases: Potential players in diseases and new directions for targeted therapy

Epigenetic modifications govern gene expression by guiding the human genome on 'what to express and what not to'. DNA methyltransferases (DNMTs) establish methylation patterns on DNA, particularly in CpG islands, and such patterns play a major role in gene silencing. DNMTs are a family of proteins/enzymes (DNMT1, 2, 3A, 3B, and 3L), among which, DNMT1 (maintenance methyltransferase) and DNMT3 (de novo methyltransferases) that direct mammalian development and genome imprinting are highly investigated. In recent decades, many studies revealed a strong association of DNA methylation patterns with gene expression in various clinical conditions. Differential expression of DNMT3 family proteins and their splice variants result in changes in methylation patterns and such alterations have been associated with the initiation and progression of various diseases, especially cancer. This review will discuss the aberrant modifications generated by DNMT3 proteins under various clinical conditions, suggesting a potential signature for de novo methyltransferases in targeted disease therapy. Further, this review discusses the possibility of using 'CpG island methylation signatures' as promising biomarkers and emphasizes 'targeted hypomethylation' by disrupting the interaction of specific DNMT-protein complexes as the future of cancer therapeutics.

Advances in Small Molecules in Cellular Reprogramming: Effects, Structures, and Mechanisms

The method of cellular reprogramming using small molecules involves the manipulation of somatic cells to generate desired cell types under chemically limited conditions, thus avoiding the ethical controversy of embryonic stem cells and the potential hazards of gene manipulation. The combinations of small molecules and their effects on mouse and human somatic cells are similar. Several small molecules, including CHIR99021, 616452, A83-01, SB431542, forskolin, tranylcypromine and valproic acid [VPA], have been frequently used in reprogramming of mouse and human somatic cells. This indicated that the reprogramming approaches related to these compounds were essential. These approaches were mainly divided into four classes: epigenetic modification, signal modulation, metabolic modulation and senescent suppression. The structures and functions of small molecules involved in these reprogramming approaches have been studied extensively. Molecular docking gave insights into the mechanisms and structural specificities of various small molecules in the epigenetic modification. The binding modes of RG108, Bix01294, tranylcypromine and VPA with their corresponding proteins clearly illustrated the interactions between these compounds and the active sites of the proteins. Glycogen synthase kinase 3β [CHIR99021], transforming growth factor β [616452, A83-01 and SB431542] and protein kinase A [forskolin] signaling pathway play important roles in signal modulation during reprogramming, however, the mechanisms and structural specificities of these inhibitors are still unknown. Further, the numbers of small molecules in the approaches of metabolic modulation and senescent suppression were too few to compare. This review aims to serve as a reference for reprogramming through small molecules in order to benefit future regenerative medicine and clinical drug discovery.

DNA Methylation as a Future Therapeutic and Diagnostic Target in Rheumatoid Arthritis

Rheumatoid arthritis (RA) is a long-term autoimmune disease of unknown etiology that leads to progressive joint destruction and ultimately to disability. RA affects as much as 1% of the population worldwide. To date, RA is not a curable disease, and the mechanisms responsible for RA development have not yet been well understood. The development of more effective treatments and improvements in the early diagnosis of RA is direly needed to increase patients' functional capacity and their quality of life. As opposed to genetic mutation, epigenetic changes, such as DNA methylation, are reversible, making them good therapeutic candidates, modulating the immune response or aggressive synovial fibroblasts (FLS-fibroblast-like synoviocytes) activity when it is necessary. It has been suggested that DNA methylation might contribute to RA development, however, with insufficient and conflicting results. Besides, recent studies have shown that circulating cell-free methylated DNA (ccfDNA) in blood offers a very convenient, non-invasive, and repeatable "liquid biopsy", thus providing a reliable template for assessing molecular markers of various diseases, including RA. Thus, epigenetic therapies controlling autoimmunity and systemic inflammation may find wider implications for the diagnosis and management of RA. In this review, we highlight current challenges associated with the treatment of RA and other autoimmune diseases and discuss how targeting DNA methylation may improve diagnostic, prognostic, and therapeutic approaches.

Copaifera of the Neotropics: A Review of the Phytochemistry and Pharmacology

The oleoresin of Copaifera trees has been widely used as a traditional medicine in Neotropical regions for thousands of years and remains a popular treatment for a variety of ailments. The copaiba resins are generally composed of a volatile oil made up largely of sesquiterpene hydrocarbons, such as β-caryophyllene, α-copaene, β-elemene, α-humulene, and germacrene D. In addition, the oleoresin is also made up of several biologically active diterpene acids, including copalic acid, kaurenoic acid, alepterolic acid, and polyalthic acid. This review presents a summary of the ecology and distribution of Copaifera species, the traditional uses, the biological activities, and the phytochemistry of copaiba oleoresins. In addition, several biomolecular targets relevant to the bioactivities have been implicated by molecular docking methods.

Nanaomycin A Treatment Promotes Hepatoblast Differentiation from Human iPS Cells

Human induced pluripotent stem cell-derived hepatocyte-like cells (HLCs) are expected to be utilized in pharmaceutical research, including drug screening. However, the hepatocyte functions of the HLCs are still lower than those of human hepatocytes. Therefore, we attempted to improve the hepatocyte differentiation method by modulating the DNA epigenetic status. We first examined the expression profiles of the maintenance DNA methyltransferase (DNMT) 1 and the de novo DNMTs DNMT3A and DNMT3B, all of which are essential for mammalian development. Among these DNMTs, the expression levels of DNMT3B were significantly decreased during the hepatoblast differentiation. To accelerate the hepatoblast differentiation, a DNMT3B-selective inhibitor, nanaomycin A, was treated during the hepatoblast differentiation. The gene expression levels of hepatoblast markers (such as alpha-fetoprotein and hepatocyte nuclear factor 4 alpha) were increased by the nanaomycin A treatment. On the other hand, the gene expression levels of hepatoblast markers were decreased by DNMT3B overexpression. These results suggest that it might be possible to promote the hepatoblast differentiation by DNMT3B inhibition using nanaomycin A. Importantly, we also confirmed that the hepatocyte differentiation potency of nanaomycin A-treated hepatoblast-like cells was higher than that of dimethyl sulfoxide-treated hepatoblast-like cells. Our findings should assist in the future generation of functional HLCs for pharmaceutical research.

Presence of a consensus DNA motif at nearby DNA sequence of the mutation susceptible CG nucleotides

Complexity in tissues affected by cancer arises from somatic mutations and epigenetic modifications in the genome. The mutation susceptible hotspots present within the genome indicate a non-random nature and/or a position specific selection of mutation. An association exists between the occurrence of mutations and epigenetic DNA methylation. This study is primarily aimed at determining mutation status, and identifying a signature for predicting mutation prone zones of tumor suppressor (TS) genes. Nearby sequences from the top five positions having a higher mutation frequency in each gene of 42 TS genes were selected from a cosmic database and were considered as mutation prone zones. The conserved motifs present in the mutation prone DNA fragments were identified. Molecular docking studies were done to determine putative interactions between the identified conserved motifs and enzyme methyltransferase DNMT1. Collective analysis of 42 TS genes found GC as the most commonly replaced and AT as the most commonly formed residues after mutation. Analysis of the top 5 mutated positions of each gene (210 DNA segments for 42 TS genes) identified that CG nucleotides of the amino acid codons (e.g., Arginine) are most susceptible to mutation, and found a consensus DNA "T/AGC/GAGGA/TG" sequence present in these mutation prone DNA segments. Similar to TS genes, analysis of 54 oncogenes not only found CG nucleotides of the amino acid Arg as the most susceptible to mutation, but also identified the presence of similar consensus DNA motifs in the mutation prone DNA fragments (270 DNA segments for 54 oncogenes) of oncogenes. Docking studies depicted that, upon binding of DNMT1 methylates to this consensus DNA motif (C residues of CpG islands), mutation was likely to occur. Thus, this study proposes that DNMT1 mediated methylation in chromosomal DNA may decrease if a foreign DNA segment containing this consensus sequence along with CG nucleotides is exogenously introduced to dividing cancer cells.

Identification of potent inhibitors of DNA methyltransferase 1 (DNMT1) through a pharmacophore-based virtual screening approach

DNA methylation is an epigenetic change that results in the addition of a methyl group at the carbon-5 position of cytosine residues. DNA methyltransferase (DNMT) inhibitors can suppress tumour growth and have significant therapeutic value. However, the established inhibitors are limited in their application due to their substantial cytotoxicity. Additionally, the standard drugs for DNMT inhibition are non-selective cytosine analogues with considerable cytotoxic side-effects. In the present study, we have designed a workflow by integrating various ligand-based and structure-based approaches to discover new agents active against DNMT1. We have derived a pharmacophore model with the help of available DNMT1 inhibitors. Utilising this model, we performed the virtual screening of Maybridge chemical library and the identified hits were then subsequently filtered based on the Naïve Bayesian classification model. The molecules that have returned from this classification model were subjected to ensemble based docking. We have selected 10 molecules for the biological assay by inspecting the interactions portrayed by these molecules. Three out of the ten tested compounds have shown DNMT1 inhibitory activity. These compounds were also found to demonstrate potential inhibition of cellular proliferation in human breast cancer MDA-MB-231 cells. In the present study, we have utilized a multi-step virtual screening protocol to identify inhibitors of DNMT1, which offers a starting point to develop more potent DNMT1 inhibitors as anti-cancer agents.

In silico design of the first DNA-independent mechanism-based inhibitor of mammalian DNA methyltransferase Dnmt1

BACKGROUND

We use our earlier experimental studies of the catalytic mechanism of DNA methyltransferases to prepare in silico a family of novel mechanism-based inhibitors of human Dnmt1. Highly specific inhibitors of DNA methylation can be used for analysis of human epigenome and for the creation of iPS cells.

RESULTS

We describe a set of adenosyl-1-methyl-pyrimidin-2-one derivatives as novel mechanism-based inhibitors of mammalian DNA methyltransferase Dnmt1. The inhibitors have been designed to bind simultaneously in the active site and the cofactor site and thus act as transition-state analogues. Molecular dynamics studies showed that the lead compound can form between 6 to 9 binding interactions with Dnmt1. QM/MM analysis showed that the upon binding to Dnmt1 the inhibitor can form a covalent adduct with active site Cys1226 and thus act as a mechanism-based suicide-inhibitor. The inhibitor can target DNA-bond and DNA-free form of Dnmt1, however the suicide-inhibition step is more likely to happen when DNA is bound to Dnmt1. The validity of presented analysis is described in detail using 69 modifications in the lead compound structure. In total 18 of the presented 69 modifications can be used to prepare a family of highly specific inhibitors that can differentiate even between closely related enzymes such as Dnmt1 and Dnmt3a DNA methyltransferases.

CONCLUSIONS

Presented results can be used for preparation of some highly specific and potent inhibitors of mammalian DNA methylation with specific pharmacological properties.

Specific Inhibition of DNMT3A/ISGF3γ Interaction Increases the Temozolomide Efficiency to Reduce Tumor Growth

DNA methylation is a fundamental feature of genomes and is a candidate for pharmacological manipulation that might have important therapeutic advantage. Thus, DNA methyltransferases (DNMTs) appear to be ideal targets for drug intervention.

By focusing on interactions existing between DNMT3A and DNMT3A-binding protein (D3A-BP), our work identifies the DNMT3A/ISGF3γ interaction such as a biomarker whose the presence level is associated with a poor survival prognosis and with a poor prognosis of response to the conventional chemotherapeutic treatment of glioblastoma multiforme (radiation plus temozolomide). Our data also demonstrates that the disruption of DNMT3A/ISGF3γ interactions increases the efficiency of chemotherapeutic treatment on established tumors in mice.

Thus, our data opens a promising and innovative alternative to the development of specific DNMT inhibitors.

Ensemble-Based Virtual Screening and Experimental Validation of Inhibitors Targeting a Novel Site of Human DNMT1

Human DNA methyltransferase1 (hDNMT1) is responsible for preserving DNA methylation patterns that play important regulatory roles in differentiation and development. Misregulation of DNA methylation has thus been linked to many syndromes, life style diseases, and cancers. Developing specific inhibitors of hDNMT1 is an important challenge in the area since the currently targeted cofactor and substrate binding site share structural features with various proteins. In this work, we generated a structural model of the active form of hDNMT1 and identified that the 5-methylcytosine (5-mC) binding site of the hDNMT1 is structurally unique to the protein. This site has been previously demonstrated to be critical for methylation activity. We further performed multiple nanosecond time scale atomistic molecular dynamics simulations of the structural model followed by virtual screening of the Asinex database to identify inhibitors targeting the 5-mC site. Two compounds were discovered that inhibited hDNMT1 in vitro, one of which also showed inhibition in vivo corroborating the screening procedure. This study thus identifies and attempts to validate for the first time a unique site of hDNMT1 that could be harnessed for rationally designing highly selective and potent hypomethylating agents.

Computer-aided Molecular Design of Compounds Targeting Histone Modifying Enzymes

Growing evidences show that epigenetic mechanisms play crucial roles in the genesis and progression of many physiopathological processes. As a result, research in epigenetic grew at a fast pace in the last decade. In particular, the study of histone post-translational modifications encountered an extraordinary progression and many modifications have been characterized and associated to fundamental biological processes and pathological conditions. Histone modifications are the catalytic result of a large set of enzyme families that operate covalent modifications on specific residues at the histone tails. Taken together, these modifications elicit a complex and concerted processing that greatly contribute to the chromatin remodeling and may drive different pathological conditions, especially cancer. For this reason, several epigenetic targets are currently under validation for drug discovery purposes and different academic and industrial programs have been already launched to produce the first pre-clinical and clinical outcomes. In this scenario, computer-aided molecular design techniques are offering important tools, mainly as a consequence of the increasing structural information available for these targets. In this mini-review we will briefly discuss the most common types of known histone modifications and the corresponding operating enzymes by emphasizing the computer-aided molecular design approaches that can be of use to speed-up the efforts to generate new pharmaceutically relevant compounds.

Specific inhibition of DNMT1/CFP1 reduces cancer phenotypes and enhances chemotherapy effectiveness

AIM

DNA methylation is a fundamental biologic process of genomes and is a candidate for pharmacological manipulation that might have important therapeutic advantages. Thus, DNA methyltransferases (DNMTs) appear to be ideal targets for drug intervention.

MATERIALS & METHODS

To develop a new generation of DNMT inhibitor, we analyzed the ability of peptides to selectively inhibit certain DNMT1-incuding complexes.

RESULTS

Our study demonstrates that the disruption of DNMT1/CFP1-including complexes increases the efficiency of chemotherapeutic treatment on established tumors in mice.

CONCLUSION

Our data opens a promising and innovative alternative to the development of DNMT inhibitors.

Discovery and development of DNA methyltransferase inhibitors using in silico approaches

Multiple strategies have evolved during the past few years to advance epigenetic compounds targeting DNA methyltransferases (DNMTs). Significant progress has been made in HTS, lead optimization and determination of 3D structures of DNMTs. In light of the emerging concept of epi-informatics, computational approaches are employed to accelerate the development of DNMT inhibitors helping to screen chemical databases, mine the DNMT-relevant chemical space, uncover SAR and design focused libraries. Computational methods also synergize with natural-product-based drug discovery and drug repurposing. Herein, we survey the latest developments of in silico approaches to advance epigenetic drug and probe discovery targeting DNMTs.

Nimbolide targets BCL2 and induces apoptosis in preclinical models of Waldenströms macroglobulinemia

Neem leaf extract (NLE) has medicinal properties, which have been attributed to its limonoid content. We identified the NLE tetranorterpenoid, nimbolide, as being the key limonoid responsible for the cytotoxicity of NLE in various preclinical models of human B-lymphocyte cancer. Of the models tested, Waldenströms macroglobulinemia (WM) cells were most sensitive to nimbolide, undergoing significant mitochondrial mediated apoptosis. Notably, nimbolide toxicity was also observed in drug-resistant (bortezomib or ibrutinib) WM cells. To identify putative targets of nimbolide, relevant in WM, we used chemoinformatics-based approaches comprised of virtual in silico screening, molecular modeling and target–ligand reverse docking. In silico analysis revealed the antiapoptotic protein BCL2 was the preferential binding partner of nimbolide. The significance of this finding was further tested in vitro in RS4;11 (BCL2-dependent) tumor cells, in which nimbolide induced significantly more apoptosis compared with BCL2 mutated (Jurkat BCL2^Ser70-Ala) cells. Lastly, intraperitoneal administration of nimbolide in WM tumor xenografted mice, significantly reduced tumor growth and IgM secretion in vivo, while modulating the expression of several proteins as seen on immunohistochemistry. Overall, our data demonstrate that nimbolide is highly active in WM cells, as well as other B-cell cancers, and engages BCL2 to exert its cytotoxic activity.

Identification of novel epigenetically inactivated gene PAMR1 in breast carcinoma

Development of cancer is a complex process involving multiple genetic and epigenetic alterations. In our microarray analysis of 81 breast carcinoma specimens, we identified peptidase domain containing associated with muscle regeneration 1 (PAMR1) as being frequently suppressed in breast cancer tissues. PAMR1 expression was also reduced in all tested breast cancer cell lines, while PAMR1 was expressed moderately in normal breast tissues and primary mammary epithelial cells. DNA sequencing of the PAMR1 promoter after sodium bisulfite treatment revealed that CpG sites were hypermethylated in the breast cancer tissues and cell lines. PAMR1 expression was restored by 5-aza-2' deoxycytidine treatment, demonstrating that promoter hypermethylation contributed to PAMR1 inactivation in the breast cancer cells. In addition, ectopic expression of PAMR1 markedly suppressed cancer cell growth. In summary, our study identified PAMR1 as a putative tumor suppressor which was frequently inactivated by promoter hypermethylation in breast cancer tissues.

Modelling three-dimensional protein structures for applications in drug design

A structural perspective of drug target and anti-target proteins, and their molecular interactions with biologically active molecules, largely advances many areas of drug discovery, including target validation, hit and lead finding and lead optimisation. In the absence of experimental 3D structures, protein structure prediction often offers a suitable alternative to facilitate structure-based studies. This review outlines recent methodical advances in homology modelling, with a focus on those techniques that necessitate consideration of ligand binding. In this context, model quality estimation deserves special attention because the accuracy and reliability of different structure prediction techniques vary considerably, and the quality of a model ultimately determines its usefulness for structure-based drug discovery. Examples of G-protein-coupled receptors (GPCRs) and ADMET-related proteins were selected to illustrate recent progress and current limitations of protein structure prediction. Basic guidelines for good modelling practice are also provided.

Antroquinonol D, isolated from Antrodia camphorata, with DNA demethylation and anticancer potential

DNA methyltransferase 1 (DNMT1) catalyzes DNA methylation and is overexpressed in various human diseases, including cancer. A rational approach to preventing tumorigenesis involves the use of pharmacologic inhibitors of DNA methylation; these inhibitors should reactivate tumor suppressor genes (TSGs) in tumor cells and restore tumor suppressor pathways. Antroquinonol D (3-demethoxyl antroquinonol), a new DNMT1 inhibitor, was isolated from Antrodia camphorata and identified using nuclear magnetic resonance. Antroquinonol D inhibited the growth of MCF7, T47D, and MDA-MB-231 breast cancer cells without harming normal MCF10A and IMR-90 cells. The SRB assay showed that the 50% growth inhibition (GI50) in MCF7, T47D, and MDA-MB-231 breast cancer cells following treatment with antroquinonol D was 8.01, 3.57, and 25.08 μM, respectively. d-Antroquinonol also inhibited the migratory ability of MDA-MB-231 breast cancer cells in wound healing and Transwell assays. In addition, antroquinonol D inhibited DNMT1 activity, as assessed by the DNMT1 methyltransferase activity assay. As the cofactor SAM level increased, the inhibitory effects of d-antroquinonol on DNMT1 gradually decreased. An enzyme activity assay and molecular modeling revealed that antroquinonol D is bound to the catalytic domain of DNMT1 and competes for the same binding pocket in the DNMT1 enzyme as the cofactor SAM, but does not compete for the binding pocket in the DNMT3B enzyme. An Illumina Methylation 450 K array-based assay and real-time PCR assay revealed that antroquinonol D decreased the methylation status and reactivated the expression of multiple TSGs in MDA-MB-231 breast cancer cells. In conclusion, we showed that antroquinonol D induces DNA demethylation and the recovery of multiple tumor suppressor genes, while inhibiting breast cancer growth and migration potential.

Hypermethylation-mediated transcriptional repression of TMPRSS2 in androgen receptor-negative prostate cancer cells

Prostate cancer is the most common type of cancer for men in the developed world. Androgen receptor (AR) is very important in prostate cancer progression. TMPRSS2 is an AR signaling downstream gene and closely related to prostate carcinogenesis. DNA methylation is a key mechanism to influence gene expression. Though previous reports have shown that AR signaling plays a critical role in the regulation of TMPRSS2 in prostate cancer, hardly any studies have examined whether the DNA methylation has been involved in the regulation of TMPRSS2. In the present study, we demonstrated that AR-negative prostate cancer (PCa) cells showed low expression levels and hypermethylation of TMPRSS2. In contrast, AR-positive PCa cells displayed high levels and hypomethylation of TMPRSS2. Treatment with the DNA methylation inhibitor 5-Aza-2'-deoxycytidine reversed the low expression levels of TMPRSS2 in the AR-negative PCa cells. Additionally, we found that the level of DNA methyltransferases 1 (DNMT1) was high in AR-negative PCa cells, in which hypermethylation of TMPRSS2 and low expression level of TMPRSS2 were observed. Collectively, these data suggest that the high level of DNMT1 might be the mechanism for the hypermethylation-mediated transcriptional repression of TMPRSS2 in AR-negative PCa cells.

Design, synthesis and biological evaluation of 4-amino-N- (4-aminophenyl)benzamide analogues of quinoline-based SGI-1027 as inhibitors of DNA methylation

Quinoline derivative SGI-1027 (N-(4-(2-amino-6-methylpyrimidin-4-ylamino)phenyl)-4-(quinolin-4-ylamino)benzamide) was first described in 2009 as a potent inhibitor of DNA methyltransferase (DNMT) 1, 3A and 3B. Based on molecular modeling studies, performed using the crystal structure of Haemophilus haemolyticus cytosine-5 DNA methyltransferase (MHhaI C5 DNMT), which suggested that the quinoline and the aminopyridimine moieties of SGI-1027 are important for interaction with the substrates and protein, we designed and synthesized 25 derivatives. Among them, four compounds—namely the derivatives 12, 16, 31 and 32—exhibited activities comparable to that of the parent compound. Further evaluation revealed that these compounds were more potent against human DNMT3A than against human DNMT1 and induced the re-expression of a reporter gene, controlled by a methylated cytomegalovirus (CMV) promoter, in leukemia KG-1 cells. These compounds possessed cytotoxicity against leukemia KG-1 cells in the micromolar range, comparable with the cytotoxicity of the reference compound, SGI-1027. Structure–activity relationships were elucidated from the results. First, the presence of a methylene or carbonyl group to conjugate the quinoline moiety decreased the activity. Second, the size and nature of the aromatic or heterocycle subsitutents effects inhibition activity: tricyclic moieties, such as acridine, were found to decrease activity, while bicyclic substituents, such as quinoline, were well tolerated. The best combination was found to be a bicyclic substituent on one side of the compound, and a one-ring moiety on the other side. Finally, the orientation of the central amide bond was found to have little effect on the biological activity. This study provides new insights in to the structure-activity relationships of SGI-1027 and its derivative.

Rationalization of activity cliffs of a sulfonamide inhibitor of DNA methyltransferases with induced-fit docking

Inhibitors of human DNA methyltransferases (DNMT) are of increasing interest to develop novel epi-drugs for the treatment of cancer and other diseases. As the number of compounds with reported DNMT inhibition is increasing, molecular docking is shedding light to elucidate their mechanism of action and further interpret structure–activity relationships. Herein, we present a structure-based rationalization of the activity of SW155246, a distinct sulfonamide compound recently reported as an inhibitor of human DNMT1 obtained from high-throughput screening. We used flexible and induce-fit docking to develop a binding model of SW155246 with a crystallographic structure of human DNMT1. Results were in excellent agreement with experimental information providing a three-dimensional structural interpretation of ‘activity cliffs’, e.g., analogues of SW155246 with a high structural similarity to the sulfonamide compound, but with no activity in the enzymatic assay.

DNA cytosine methylation: structural and thermodynamic characterization of the epigenetic marking mechanism

DNA cytosine methyltransferases regulate the expression of the genome through the precise epigenetic marking of certain cytosines with a methyl group, and aberrant methylation is a hallmark of human diseases including cancer. Targeting these enzymes for drug design is currently a high priority. We have utilized ab initio quantum mechanical/molecular mechanical (QM/MM) molecular dynamics (MD) simulations to investigate extensively the reaction mechanism of the representative DNA methyltransferase HhaI (M.HhaI) from prokaryotes, whose overall mechanism is shared with the mammalian enzymes. We obtain for the first time full free energy profiles for the complete reaction, together with reaction dynamics in atomistic detail. Our results show an energetically preferred mechanism in which nucleophilic attack of cytosine C5 on the S-adenosyl-L-methionine (AdoMet) methyl group is concerted with formation of the Michael adduct between a conserved Cys in the active site with cytosine C6. Spontaneous and reversible proton transfer between a conserved Glu in the active site and cytosine N3 at the transition state was observed in our simulations, revealing the chemical participation of this Glu residue in the catalytic mechanism. Subsequently, the β-elimination of the C5 proton utilizes as base an OH(-) derived from a conserved crystal water that is part of a proton wire water channel, and this syn β-elimination reaction is the rate-limiting step. Design of novel cytosine methylation inhibitors would be advanced by our structural and thermodynamic characterization of the reaction mechanism.

From natural products to drugs for epimutation computer-aided drug design

The epimutational event, i.e., ectopic methylation in tumor suppressor genes, can lead to gene silencing, thus promoting prognosis of cancer. The progression of DNA methylation is a cycle of demethylation, de novo methylation, and maintenance methylation. The enzyme responsible for maintenance of methylation status is DNA methyltransferase 1 (DNMT1), the continuous activity of which is required to maintain the pattern of epimutation; thus, its inhibition is a promising strategy for the treatment of cancer. To the best of our knowledge, this study is the first to focus on the recently developed crystal structure of the catalytic site of DNMT1. Here in this study, we have used the crystal structure for the development of non-nucleoside DNMT1 inhibitors using virtual screening (VS), absorption, distribution, metabolism, elimination/toxicology analysis, and molecular docking studies. In this study, VS was carried out on 48,531 natural products to create a subset of lead-like natural products. Three of them were found to form hydrogen bonds with the catalytic site of the DNMT1 (Cys 1226). Thus, this study adumbrates potential lead compounds for treatment of epimutation.

Docking of a novel DNA methyltransferase inhibitor identified from high-throughput screening: insights to unveil inhibitors in chemical databases

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.

Epigenetic targeting therapies to overcome chemotherapy resistance

It is now well established that epigenetic aberrations occur early in malignant transformation, raising the possibility of identifying chemopreventive compounds or reliable diagnostic screening using epigenetic biomarkers. Combinatorial therapies effective for the reexpression of tumor suppressors, facilitating resensitization to conventional chemotherapies, hold great promise for the future therapy of cancer. This approach may also perturb cancer stem cells and thus represent an effective means for managing a number of solid tumors. We believe that in the near future, anticancer drug regimens will routinely include epigenetic therapies, possibly in conjunction with inhibitors of "stemness" signal pathways, to effectively reduce the devastating occurrence of cancer chemotherapy resistance.

Epigenetic Modulations of Induced Pluripotent Stem Cells: Novel Therapies and Disease Models

Recent breakthroughs in induced pluripotent stem cell (iPSC) technology hold promise for novel cell-based therapies as well as for effective drug development. The therapeutic potential of iPSCs makes it important to understand the reprogramming mechanisms and iPSC differentiation process. Epigenetic states that mediate exogenous stimulations on cell-intrinsic transcriptional features play a key role in iPSCs. This review focuses on epigenetic mechanisms that control iPSC pluripotency and differentiation. We discuss the potential application of epigenetic modulations in development of iPSC-based therapies and disease models.

Molecular modeling of inhibitors of human DNA methyltransferase with a crystal structure: discovery of a novel DNMT1 inhibitor

DNA methyltransferases (DNMTs) are promising epigenetic targets for the development of novel anticancer drugs and other diseases. Molecular modeling and experimental approaches are being used to identify and develop inhibitors of human DNMTs. Most of the computational efforts conducted so far with DNMT1 employ homology models of the enzyme. Recently, a crystallographic structure of the methyltransferase domain of human DNMT1 bound to unmethylated DNA was published. Following on our previous computational and experimental studies with DNMTs, we herein present molecular dynamics of the crystal structure of human DNMT1. Docking studies of established DNMT1 inhibitors with the crystal structure gave rise to a structure-based pharmacophore model that suggests key interactions of the inhibitors with the catalytic binding site. Results had a good agreement with the docking and pharmacophore models previously developed using a homology model of the catalytic domain of DNMT1. The docking protocol was able to distinguish active DNMT1 inhibitors from, for example, experimentally known inactive DNMT1 inhibitors. As part of our efforts to identify novel inhibitors of DNMT1, we conducted the experimental characterization of aurintricarboxylic acid (ATA) that in preliminary docking studies showed promising activity. ATA had a submicromolar inhibition (IC₅₀ = 0.68 μM) against DNMT1. ATA was also evaluated for Dnmt3a inhibition showing an IC₅₀ = 1.4 μM. This chapter illustrates the synergy from integrating molecular modeling and experimental methods to further advance the discovery of novel candidates for epigenetic therapies.

DNA methyltransferase inhibitors in acute myeloid leukemia: discovery, design and first therapeutic experiences

INTRODUCTION

DNA methylation is an epigenetic change mediated by DNA methyltranferases (DNMTs), which are promising epigenetic targets for the treatment of acute myeloid leukemia (AML). This is evidenced by the two DNMT inhibitors (azacitidine and decitabine) approved by the Food and Drug Administration of the United States for the treatment of high-risk myelodysplastic syndromes and the first clinical data available in AML.

AREAS COVERED

This paper reviews data from the international literature regarding the design, sites of impact and pharmacodynamic characteristics of DNMT inhibitors, and their first clinical experiences in AML.

EXPERT OPINION

The strongest advances in epigenetic therapy have been in the treatment of AML. There are now an increasing number of DNMT inhibitors. These agents may be potentially administered at different times of leukemia therapy: before or instead of chemotherapy, as maintenance therapy, prior to allogeneic stem cell transplant (SCT) or after relapse following SCT.

Expanding the medicinally relevant chemical space with compound libraries

Analysis of marketed drugs and commercial vendor libraries used in high-throughput screening suggests that the medicinally relevant chemical space may be expanded to unexplored regions. Novel regions of the chemical space can be conveniently explored with structurally unique molecules with increased complexity and balanced physicochemical properties. As a case study, we discuss the chemoinformatic profile of natural products in the Traditional Chinese Medicine (TCM) database and a large collection assembled from 30 small-molecule combinatorial libraries with emphasis on assessing molecular complexity. The herein surveyed combinatorial libraries have been successfully used over the past 20 years to identify novel bioactive compounds across different therapeutic areas. Combinatorial libraries and natural products are suitable sources to expand the traditional relevant medicinal chemistry space.

Perspectives on the discovery of small-molecule modulators for epigenetic processes

Epigenetic gene regulation is a critical process controlling differentiation and development, the malfunction of which may underpin a variety of diseases. In this article, we review the current landscape of small-molecule epigenetic modulators including drugs on the market, key compounds in clinical trials, and chemical probes being used in epigenetic mechanistic studies. Hit identification strategies for the discovery of small-molecule epigenetic modulators are summarized with respect to writers, erasers, and readers of histone marks. Perspectives are provided on opportunities for new hit discovery approaches, some of which may define the next generation of therapeutic intervention strategies for epigenetic processes.

Molecular dynamics simulations of human DNA methyltransferase 3B with selective inhibitor nanaomycin A

DNA methyltransferases (DNMTs) are involved in epigenetic regulation of the genome and are promising targets for therapeutic intervention in cancer and other diseases. Until now, very limited information is available concerning the molecular dynamics of DNMTs. The natural product nanaomycin A is the first selective inhibitor of DNMT3B that induce genomic demethylation. Herein we report long (>100ns) molecular dynamics simulations for human DNMT3B bound to nanaomycin A with and without the presence of the cofactor S-adenosyl-L-methionine (SAM). We concluded that SAM favors the binding of nanaomycin A to DNMT3B. Key interactions of nanaomycin A with DNMT3B involve long lasting interactions with Arg731, Arg733, Arg832, and the catalytic Cys651. Results further support the previous hypothesis that nanaomycin A has key interactions with amino acid residues involved in the mechanism of methylation. This work represents one of the first molecular dynamics studies of DNMT3B. Results of this work shed light on the structure and binding recognition process of a key epigenetic enzyme with a small molecule inhibitor.

Epigenetic events associated with breast cancer and their prevention by dietary components targeting the epigenome

Aberrant epigenetic alterations in the genome such as DNA methylation and chromatin remodeling play a significant role in breast cancer development. Since epigenetic alterations are considered to be more easily reversible compared to genetic changes, epigenetic therapy is potentially very useful in reversing some of these defects. Methylation of CpG islands is an important component of the epigenetic code, and a number of genes become abnormally methylated in breast cancer patients. Currently, several epigenetic-based synthetic drugs that can reduce DNA hypermethylation and histone deacetylation are undergoing preclinical and clinical trials. However, these chemicals are generally very toxic and do not have gene specificity. Epidemiological studies have shown that Asian women are less prone to breast cancer due to their high consumption of soy food than the Caucasian women of western countries. Moreover, complementary/and or alternative medicines are commonly used by Asian populations which are rich in bioactive ingredients known to be chemopreventive against tumorigenesis in general. Examples of such agents include dietary polyphenols, (-)-epigallocatechin-3-gallate (EGCG) from green tea, genistein from soybean, isothiocyanates from plant foods, curcumin from turmeric, resveratrol from grapes, and sulforaphane from cruciferous vegetables. These bioactive components are able to modulate epigenetic events, and their epigenetic targets are known to be associated with breast cancer prevention and therapy. This approach could facilitate the discovery and development of novel drugs for the treatment of breast cancer. In this brief review, we will summarize the epigenetic events associated with breast cancer and the potential of some of these bioactive dietary components to modulate these events and thus afford new therapeutic or preventive approaches.