Current Topics in Medicinal Chemistry - Volume 20, Issue 17, 2020

Butterfly-shaped structure, as a novel scaffold with an attractive and certain shape, has been widely used in new drug discovery. Tubulin, composing of α- and β-tubulin heterodimers, plays a key role in mitosis and cell division which are regarded as an excellent target for cancer therapy. Currently, a series of butterfly shape diaryl heterocyclic compounds have been reported with strong potential against the tubulin-colchicine binding site. It is with one ring buried in the β subunit, another ring interacts with the α subunit and the main body is located in the flat pocket. Here, we firstly introduce the concept of butterfly structure for the tubulin inhibitors, focusing on the latest advancements in a variety of molecules bearing butterfly structure, and then highlight the challenges and future direction of butterfly structure- based tubulin-colchicine binding site inhibitors.

Myoferlin (MYOF), as a member of the ferlin family, is a type II transmembrane protein with a single transmembrane domain at the carbon terminus. Studies have shown that MYOF is involved in pivotal physiological functions related to numerous cell membranes, such as extracellular secretion, endocytosis cycle, vesicle trafficking, membrane repair, membrane receptor recycling, and secreted protein efflux. Recently, the studies have also revealed that MYOF is overexpressed in a variety of cancers such as colorectal cancer, pancreatic cancer, breast cancer, melanoma, gastric cancer, and non-small-cell lung cancer. High expression of MYOF is associated with the high invasion of tumors and poor clinical prognosis. MYOF medicates the expression, secretion, and distribution of proteins, which were closely related to cancers, as well as the energy utilization of cancer cells, lipid metabolism and other physiological activities by regulating the physiological processes of membrane transport. In this short article, we briefly summarize the latest progress related to MYOF, indicating that small molecule inhibitors targeting the MYOF-C2D domain can selectively inhibit the proliferation and migration of cancer cells, and MYOF may be a promising target for the treatment of malignant tumors.

The first-ever World Chagas Disease Day, celebrated in April 14, 2020, is a key initiative to raise awareness of the impact of this neglected tropical disease (NTD). This landmark comes along with the first World NTD Day and the new WHO Road Map on NTDs for 2021-2030.

Glycogen Synthase Kinase 3 (GSK3) is one of the Serine/Threonine protein kinases, which has gained a lot of attention for its role in a variety of pathways. It has two isoforms, GSK3α and GSK3β. However, GSK3β is highly expressed in different areas of the brain and has been implicated in Alzheimer’s disease as it is involved in tau phosphorylation. Due to its high specificity concerning substrate recognition, GSK3 has been considered as an important target. In the last decade, several GSK3 inhibitors have been reported and two molecules are in clinical trials. This review collates the information published in the last decade about the role of GSK3 in Alzheimer’s disease and progress in the development of its inhibitors. Using this collated information, medicinal chemists can strategize and design novel GSK3 inhibitors that could be useful in the treatment of Alzheimer’s disease.

Cyclin-dependent kinases (CDKs) are a group of multifunctional enzymes consisting of catalytic and regulatory subunits. The regulatory subunit, cyclin, remains dissociated under normal circumstances, and complexation of cyclin with the catalytic subunit of CDK leads to its activation for phosphorylation of protein substrates. The primary role of CDKs is in the regulation of the cell cycle. Retinoblastoma protein (Rb) is one of the widely investigated tumor suppressor protein substrates of CDK, which prevents cells from entering into cell-cycle under normal conditions. Phosphorylation of Rb by CDKs causes its inactivation and ultimately allows cells to enter a new cell cycle. Many cancers are associated with hyperactivation of CDKs as a result of mutation of the CDK genes or CDK inhibitor genes. Therefore, CDK modulators are of great interest to explore as novel therapeutic agents against cancer and led to the discovery of several CDK inhibitors to clinics. This review focuses on the current progress and development of anti-cancer CDK inhibitors from preclinical to clinical and synthetic to natural small molecules.

Kinases remain one of the major attractive therapeutic targets for a large number of indications such as cancer, rheumatoid arthritis, cardiac failure and many others. Design and development of kinase inhibitors (ATP-competitive, allosteric or covalent) is a clinically validated and successful strategy in the pharmaceutical industry. The perks come with limitations, particularly the development of resistance to highly potent and selective inhibitors. When this happens, the cycle needs to be repeated, i.e., the design and development of kinase inhibitors active against the mutated forms. The complexity of tumor milieu makes it awfully difficult for these molecularly-targeted therapies to work. Every year newer and better versions of these agents are introduced in the clinic. Several computational approaches such as structure-, ligand-based or hybrid ones continue to live up to their potential in discovering novel kinase inhibitors. New schools of thought in this area continue to emerge, e.g., development of dual-target kinase inhibitors. But there are fundamental issues with this approach. It is indeed difficult to selectively optimize binding at two entirely different or related kinases. In addition to the conventional strategies, modern technologies (machine learning, deep learning, artificial intelligence, etc.) started yielding the results and building success stories. Computational tools invariably played a critical role in catalysing the phenomenal progress in kinase drug discovery field. The present review summarized the progress in utilizing computational methods and tools for discovering (mutant-)selective tyrosine kinase inhibitor drugs in the last three years (2017-2019). Representative investigations have been discussed, while others are merely listed. The author believes that the enthusiastic reader will be inspired to dig out the cited literature extensively to appreciate the progress made so far and the future prospects of the field.