Fibroblast growth factor receptor (FGFR) inhibitors as anticancer agents: 3D-QSAR, molecular docking and dynamics simulation studies of 1, 6-naphthyridines and pyridopyrimidines

A Promising Paradigm Shift in Cancer Treatment with FGFR Inhibitors

FGFR have been demonstrated to perform a crucial role in biological processes but their overexpression has been perceived as the operator component in the occurrence and progression of different types of carcinoma. Out of all the interest around cancer, FGFR inhibitors have assembled pace over the past few years. Therefore, FGFR inhibitors are one of the main fundamental tools to reverse drug resistance, tumor growth, and angiogenesis. Currently, many FGFR inhibitors are under the development stage or have been developed. Due to great demand and hotspots, different pharmacophores were approached to access structurally diverse FGFR inhibitors. Here, we have selected to present several representative examples such as Naphthyl, Pyrimidine, Pyridazine, Indole, and Quinoline derivatives that illustrate the diversity and advances of FGFR inhibitors in medicinal chemistry. This review focuses on the SAR study of FGFR inhibitors last five years which will be a great future scope that influences the medicinal chemist to work towards more achievements in this area.

Sanggenol B, a plant bioactive, as a safer alternative to tackle cancer by antagonising human FGFR

Fibroblast Growth Receptor Factor (FGFR) are a family of proteins which are, in addition to their biological role, are involved in various pathological functions, such as cancer cellular proliferation, and metastasis. Deregulation of FGFRs at various points could result in malignancy. A conformational transition of the DFG (Asp-Phe-Gly) motif can switch the enzyme from a catalytically active (DFG-in) to an inactive (DFG-out) state. There are a few FDFR inhibitors which have received approval from the FDA, but these have adverse side effects. Hence, there is a demand for safer alternatives. With this aim, Ligand and Structure based virtual screening was carried to identify suitable lead molecule. In this process, Four Featured atom-based 3D Pharmacophore with quantitative structure-activity relationship analysis (3D-QSAR) was developed. The External validation of the hypothesis was carried invoking criteria such as Area under the ROC curve. Natural plant compound databases such as the Traditional Chinese medicine, NPACT and the ZINC Natural databases were chosen for pharmacophore filtering, which was followed by virtual screening against FGFR isoforms. The compound Sanggenol B was identified as the most suitable lead molecule. Structural stability of the protein-ligand complex and interactions of the ligand (Sanggenol B & the reference compound Ponatinib) with FGFR were analysed for 1000 ns (triplicate) by means of molecular simulation and the binding free energy was calculated using MMGBSA. Sanggenol B (PubChem CID: 15233694) binds effectively at the active site with favourable energies and is proposed as a safe alternative from a natural source.Communicated by Ramaswamy H. Sarma.

Anticancer Drug Discovery By Structure-Based Repositioning Approach

Despite the tremendous progress that has occurred in recent years in cell biology and oncology, in chemical, physical and computer sciences, the disease cancer has continued as the major cause of death globally. Research organizations, academic institutions and pharmaceutical companies invest huge amounts of money in the discovery and development of new anticancer drugs. Though much effort is continuing and whatever available approaches are being attempted, the success of bringing one effective drug into the market has been uncertain. To overcome problems associated with drug discovery, several approaches are being attempted. One such approach has been the use of known, approved and marketed drugs to screen these for new indications, which have gained considerable interest. This approach is known in different terms as "drug repositioning or drug repurposing." Drug repositioning refers to the structure modification of the active molecule by synthesis, in vitro/ in vivo screening and in silico computational applications where macromolecular structure-based drug design (SBDD) is employed. In this perspective, we aimed to focus on the application of repositioning or repurposing of essential drug moieties present in drugs that are already used for the treatment of some diseases such as diabetes, human immunodeficiency virus (HIV) infection and inflammation as anticancer agents. This review thus covers the available literature where molecular modeling of drugs/enzyme inhibitors through SBDD is reported for antidiabetics, anti-HIV and inflammatory diseases, which are structurally modified and screened for anticancer activity using respective cell lines.

Molecular simulations required to target novel and potent inhibitors of cancer invasion

INTRODUCTION

Computer-aided drug design (CADD) is a computational approach used to discover, develop, and analyze drugs and active molecules with similar biochemical properties. Molecular simulation technology has significantly accelerated drug research and reduced manufacturing costs. It is an optimized drug discovery method that greatly improves the efficiency of novel drug development processes.

AREASCOVERED

This review discusses the development of molecular simulations of effective cancer inhibitors and traces the main outcomes of in silico studies by introducing representative categories of six important anticancer targets. The authors provide views on this topic from the perspective of both medicinal chemistry and artificial intelligence, indicating the major challenges and predicting trends.

EXPERT OPINION

The goal of introducing CADD into cancer treatment is to realize a highly efficient, accurate, and desired approach with a high success rate for identifying potent drug candidates. However, the major challenge is the lack of a sophisticated data-filtering mechanism to verify bottom data from mixed-quality references. Consequently, despite the continuous development of algorithms, computer power, and interface optimization, specific data filtering mechanisms will become an urgent and crucial issue in the future.

Synthesis, anti-angiogenic activity and prediction toxicity of (E)-3-(3-methoxyphenyl) propenoic acid

Background: Anti-angiogenic medications, one of cancer chemo preventive mechanism were permitted for different cancers. Nevertheless, major primary and secondary resistance obstruct efficacy in several tumor types. Moreover, the improvement of safe and effective NSAIDs for angiogenesis inhibition is complicated, because of their serious toxicity. So, we require improving clinically appropriate strategies to boost efficacy of anti-angiogenic drugs with low risk of toxicity. Objectives: The present study aimed to synthesize the (E)-3- (3-methoxyphenyl)propenoic acid (3MPCA), to determine the anti-angiogenic activity and predict its toxicity. Methods: 3MPCA was obtained by Knoevenagel reaction using microwave irradiation at 400 Watt. The anti-angiogenesis experimental was performed using chorioallantois membrane of embryonated chicken eggs induced by b-FGF. The potency of 3MPCA was verified at dosage 30 and 60 ng and compared with celecoxib 60 ng. Toxicity prediction of 3MPCA was performed by ProTox II online program. Results: The results showed that 3MPCA was achieved in good yield (89%). Anti angogenic activity was showed by endothelial cells growth in neovascular capillaries of new blood vessel of chorioallantois membrane of embryonated chicken eggs. The endothelial cells growth decreased until 41.7-83%. The prediction LD50 was 1772mg/kg. Conclusion: (E)-3-(3-methoxyphenyl)propenoic acid can be obtained through Knovenagel reaction using microwave irradiation and it has potential as anti-angiogenesis inhibitor with low toxicity.