Mengzhu Xue

Insulin-like Growth Factor-1 Receptor (IGF-1R) Kinase Inhibitors in Cancer Therapy: Advances and Perspectives

The insulin-like growth factors (IGF) and their receptors play pivotal roles in cellular signaling transduction and thus regulate cell growth, differentiation, apoptosis, transformation and other important physiological progresses. The insulin-like growth factor 1 receptor (IGF-1R) mainly engages in the Ras/mitogen-activated protein kinase (MAPK) pathway and the phosphoinositide 3-kinase/protein kinase B (PI3K/AKT) pathway, and also forms cross-talk with the epidermal growth factor receptor (EGFR) pathway. Currently, it draws more attention since its overexpression has been demonstrated in various human cancers, such as colorectal cancer, breast cancer, prostate cancer and lung tumors, thus the strategy targeting the IGF-1R would be promising in treatment of these cancers. There are already dozens of agents developed for the inhibition of IGF-1R, which are categorized into monoclonal antibodies, small molecule inhibitors and so on. While in this review, small molecule inhibitors would be the focus for detailed discussion. Herein, we updated previously reported research papers and reviews in this field and summarized developments of small molecule inhibitors up to 2011. Finally, we proposed the application of network pharmacology methods to reconsider the clinical use of inhibitors with concomitant IR inhibition or other kinases inhibition, hoping that more optimal combinations would be obtained for cancer therapy.

Substituted indolin-2-ones as p90 ribosomal S6 protein kinase 2 (RSK2) inhibitors: Molecular docking simulation and structure–activity relationship analysis

A series of novel indolin-2-ones inhibitors against p90 ribosomal S6 protein kinase 2 (RSK2) were designed and synthesized and their structure-activity relationship (SAR) was studied. The most potent inhibitor, compound 3s, exhibited potent inhibition against RSK2 with an IC50 value of 0.5 μM and presented a satisfactory selectivity against 23 kinases. The interactions of these inhibitors with RSK2 were investigated based on the proposed binding poses with molecular docking simulation. Four compounds and six compounds exhibited moderate anti-proliferation activities against PC 3 cells and MCF-7 cells, respectively.

Synthesis, activity evaluation, and docking analysis of barbituric acid aryl hydrazone derivatives as RSK2 inhibitors.

The 90 kDa ribosomal S6 kinases (RSKs), especially RSK2, have attracted attention for the development of new anticancer agents. Through structural optimization of the hit compound 1 from our previous study, a series of barbituric acid aryl hydrazone analogues were designed and synthesized as potential RSK2 inhibitors. The most potent one, compound 9, showed a higher activity against RSK2 with an IC50 value of 1.95 μM. To analyze and elucidate their structure-activity relationship, the homology model of RSK2 N-terminal kinase domain was built and molecular docking simulations were performed, which provide helpful clues to design new inhibitors with desired activities.

Predicting the Drug Safety for Traditional Chinese Medicine through a Comparative Analysis of Withdrawn Drugs Using Pharmacological Network

As the major issue to limit the use of drugs, drug safety leads to the attrition or failure in clinical trials of drugs. Therefore, it would be more efficient to minimize therapeutic risks if it could be predicted before large-scale clinical trials. Here, we integrated a network topology analysis with cheminformatics measurements on drug information from the DrugBank database to detect the discrepancies between approved drugs and withdrawn drugs and give drug safety indications. Thus, 47 approved drugs were unfolded with higher similarity measurements to withdrawn ones by the same target and confirmed to be already withdrawn or discontinued in certain countries or regions in subsequent investigations. Accordingly, with the 2D chemical fingerprint similarity calculation as a medium, the method was applied to predict pharmacovigilance for natural products from an in-house traditional Chinese medicine (TCM) database. Among them, Silibinin was highlighted for the high similarity to the withdrawn drug Plicamycin although it was regarded as a promising drug candidate with a lower toxicity in existing reports. In summary, the network approach integrated with cheminformatics could provide drug safety indications effectively, especially for compounds with unknown targets or mechanisms like natural products. It would be helpful for drug safety surveillance in all phases of drug development.