Screening of synthetic and natural product databases: Identification of novel androgens and antiandrogens

Polygenic anti-cancer activity of Indigofera macrophylla in prostate cancer induced animal model

Background

Prostate cancer (Pca) is a deadly disease prevalent among men, and it accounts for about 7-8 % of mortality globally. Synthetic drugs have proved effective but have limitations and severe side effects. There is, therefore, a need to discover a less expensive, natural therapeutic agent with no side effects in treating the ailment.

Aim

The study aims to investigate the anti-prostate cancer activity of extracts of Indigofera macrophylla (I. macrophylla) at the physiological and molecular levels in experimental animals.

Method

Polyphenol-rich extract of I. macrophylla was subjected to HPLC analysis to identify the plant's phytochemical constituent. Adult Wistar rats were orally administered 2mls of 50, 100 and 200 PPM of the cacodylic acid solution for 28 days to induce prostate cancer, while treatment was carried out by orally administering extract of I. macrophylla at doses of 50, 100 and 200 mg/kg for up to 28 days. The anti-inflammatory and apoptotic properties of the extract in experimental animals were investigated by the expression levels of various genetic biomarkers such as Bax-2, TNF-α, IL-6, COX2, IL-1β, β-Catenin, APC, Bcl2, CEA, Caspase 3 and β-Catenin using reverse transcriptase polymerase chain reaction (RT-PCR).

Result

HPLC analysis shows that I. macrophylla has 21 bioactive components which are categorized into seven groups: flavonoid, terpenes, phenols, isoflavonoid, phytosterols, quinone and glycosides. Administration of the drug shows inconsistencies in the mean body weights of the experimental animals. Further investigation revealed that I. macrophylla increased TNF-α upregulation and expression, significantly downregulated IL-1β, significantly decreased IL-6 expression, ameliorated COX2 expression, downregulated β-catenin expression and significantly reduced the expression of the APC gene. These results show that the drug activity modulates the investigated inflammatory and apoptotic genes in the prostate gland of PCa-induced rats, thus demonstrating its anti-PCa potential.

Conclusion

The results of this study suggest the potential of a novel treatment protocol of I. macrophylla plant extract to improve therapeutic outcomes for patients with aggressive PCa, which reportedly claims hundreds of thousands of lives yearly.

Recent advances in dietary androgen receptor inhibitors

As a nuclear transcription factor, the androgen receptor (AR) plays a crucial role not only in normal male sexual differentiation and growth of the prostate, but also in benign prostatic hyperplasia, prostatitis, and prostate cancer. Multiple population-based epidemiological studies demonstrated that prostate cancer risk was inversely associated with increased dietary intakes of green tea, soy products, tomato, and so forth. Therefore, this review aimed to summarize the structure and function of AR, and further illustrate the structural basis for antagonistic mechanisms of the currently clinically available antiandrogens. Due to the limitations of these antiandrogens, a series of natural AR inhibitors have been identified from edible plants such as fruits and vegetables, as well as folk medicines, health foods, and nutritional supplements. Hence, this review mainly focused on recent experimental, epidemiological, and clinical studies about natural AR inhibitors, particularly the association between dietary intake of natural antiandrogens and reduced risk of prostatic diseases. Since natural products offer multiple advantages over synthetic antiandrogens, this review may provide a comprehensive and updated overview of dietary-derived AR inhibitors, as well as their potential for the nutritional intervention against prostatic disorders.

Targeting androgen receptor for prostate cancer therapy: From small molecules to PROTACs

Prostate cancer (PCa) remains a serious type of cancer for men worldwide. The majority of new PCa cases are associated with androgen receptor (AR) hyperactivity. Various AR-targeting molecules that suppress its activity have been discovered. In this review, we present the already marketed antiandrogens and a selection of structurally and chemically interesting AR-targeting compounds, from a pharmacochemical perspective. Focus has been placed on the applied design approaches, structural evolution and structure-activity relationships of the most prominent compound classes. Passing from the traditional steroidal AR antagonists to the modern AR-targeting proteolysis targeting chimeras (PROTACs), we intend to provide a comprehensive overview on AR-targeting molecules for PCa treatment.

Pyridine moiety: An insight into recent advances in treatment of cancer

The incidence of cancer is increasing worldwide, affecting a vast majority of the human population. As new different anticancer agents are being developed now, the requirement is to deal somehow with them and evaluate their safety. Among them, pyridine based drugs are contributing a lot, as it is one of the imperative pharmacophores occurring synthetically as well as naturally in heterocyclic compounds, and having a wide range of therapeutic applications in the area of drug discovery, thereby offering many chances for further improvement in antitumor agents via acting onto numerous receptors of extreme prominence. Many pyridine derivatives have been reported to inhibit enzymes, receptors and many other targets for controlling and curing the global health issue of cancer. Nowadays, in combination with other moieties, researchers are focusing on the development of pyridine-based new derivatives for cancer treatment. Therefore, this review sheds light on the recent therapeutic expansions of pyridine together with its molecular docking, structure-activity-relationship, availability in the market, and a summary of recently patented and published research works that shall jointly help the scientists to produce effective drugs with the desired pharmacological activity.

Proposal of novel potent inhibitors against androgen receptor based on ab initio molecular orbital calculations

The androgen receptor (AR), a family of nuclear receptor proteins, stimulates the transcription of androgen-responsive genes. As its abnormal activation can cause the progression of prostate cancer, numerous types of ligands for AR have been developed as promising antagonists for the treatment of prostate cancer. We previously investigated the specific interactions between AR and nine types of existing non-steroidal ligands, using molecular simulations based on molecular mechanics and ab initio fragment molecular orbital methods. The results were confirmed to be comparable to the binding affinities of these ligands observed in experiments. We here propose novel ligands as potent inhibitors against AR and investigate their binding properties to AR, using the same molecular simulations. The results indicate that the most promising ligand binds stronger to AR than the existing non-steroidal ligands, and that our proposed ligand binds strongly to a mutant-type AR, which has drug resistance to the existing non-steroidal ligands.

Advances in the computational development of androgen receptor antagonists

The androgen receptor is a ligand-dependent transcriptional factor and an essential therapeutic target for prostate cancer. Competitive binding of antagonists to the androgen receptor can alleviate aberrant activation of the androgen receptor in prostate cancer. In recent years, computer-aided drug design has played an essential part in the discovery of novel androgen receptor antagonists. This review summarizes the recent advances in the discovery of novel androgen receptor antagonists through computer-aided drug design approaches; and discusses the applications of molecular modeling techniques to understand the resistance mechanisms of androgen receptor antagonists at the molecular level.

Isolation and Structural Characterization of Bioactive Molecules on Prostate Cancer from Mayan Traditional Medicinal Plants

Prostate cancer is the most common cancer in men around the world. It is a complex and heterogeneous disease in which androgens and their receptors play a crucial role in the progression and development. The current treatment for prostate cancer is a combination of surgery, hormone therapy, radiation and chemotherapy. Therapeutic agents commonly used in the clinic include steroidal and non-steroidal anti-androgens, such as cyproterone acetate, bicalutamide and enzalutamide. These few agents have multiple adverse effects and are not 100% effective. Several plant compounds and mixtures, including grape seed polyphenol extracts, lycopene and tomato preparations, soy isoflavones, and green tea extracts, have been shown to be effective against prostate cancer cell growth. In vivo activity of some isolated compounds like capsaicin and curcumin was reported in prostate cancer murine models. We prepared a library of plant extracts from traditional Mayan medicine. These plants were selected for their use in the contemporaneous Mayan communities for the treatment of different diseases. The extracts were assessed in a phenotypic screening using LNCaP prostate cancer androgen sensitive cell line, with a fixed dose of 25 μg/mL. MTT assay identified seven out of ten plants with interesting anti-neoplastic activity. Extracts from these plants were subjected to a bioguided fractionation to study their major components. We identified three compounds with anti-neoplastic effects against LNCaP cells, one of which shows selectivity for neoplastic compared to benign cells.

Integrating docking scores and key interaction profiles to improve the accuracy of molecular docking: towards novel B-RafV600E inhibitors

A set of ninety-eight B-RafV600E inhibitors was used for the development of a molecular docking based QSAR model using linear and non-linear regression models. The integration of docking scores and key interaction profiles significantly improved the accuracy of the QSAR models, providing reasonable statistical parameters (Rtrain2 = 0.935, Rtest2 = 0.728 and QCV2 = 0.905). The established MD-SVR (molecular docking based SMV regression) model as well as model screening of a natural product database was carried out and two natural products (quercetin and myricetin) with good prediction activities were biologically evaluated. Both compounds exhibited promising B-RafV600E inhibitory activities (ICQuercetin50 = 7.59 μM and ICMyricetin50 = 1.56 μM), suggesting a high reliability and good applicability of the established MD-SVR model in the future development of B-RafV600E inhibitors with high efficacy.

Stereoselective glycoconjugation of steroids with selenocarbohydrates

A methodology that brings together sugar and steroid scaffolds linked by a selenium atom is discussed in this work.

Benchmarking Data Sets for the Evaluation of Virtual Ligand Screening Methods: Review and Perspectives

Virtual screening methods are commonly used nowadays in drug discovery processes. However, to ensure their reliability, they have to be carefully evaluated. The evaluation of these methods is often realized in a retrospective way, notably by studying the enrichment of benchmarking data sets. To this purpose, numerous benchmarking data sets were developed over the years, and the resulting improvements led to the availability of high quality benchmarking data sets. However, some points still have to be considered in the selection of the active compounds, decoys, and protein structures to obtain optimal benchmarking data sets.