Target Identification

The Ancient Chinese Classical Formulas, released by the State Administration of Traditional Chinese Medicine, selects the classic prescriptions from more than 100,000 prescriptions contained in more than 100 representative ancient medical books. Experts said that the classic prescription derived from ancient books, with thousands of years of human experience, is widely used in common diseases, frequented diseases, chronic diseases and other fields, and its development and utilization can fill the gap in medical drugs for some diseases in China, and effectively alleviate the increasingly severe medical needs brought by a series of social problems such as aging and chronic diseases in China. MCE has collected and sorted out these monomer compounds from the sources of ancient Chinese classical formulas, including licorice, ginseng, pinellia and other traditional Chinese medicine sources, which help to provide new ideas and new strategies for modern drug development.

MCE ancient Chinese classical formulas traditional Chinese medicine active compound library has 1,974 traditional Chinese medicine monomer compound, which can be used in the research fields of new drug development and drug target identification.

Chemical probes are simply reagents with high potency, selectivity and cell-permeability which play important roles in both fundamental and applied biological research. In their most common application, chemical probes can establish the tractability of a specific target. They are used to interrogate the relationship between a target and its phenotype (biological tractability) as well as an ability to modulate that phenotype using a small molecule. Otherwise, chemical probes also have had a major impact in enabling and accelerating discoveries along the path to pioneer medicines. They have helped to improve the understanding of targets and pathways and have created opportunities for proprietary drug discovery efforts to an extent that would not have been possible otherwise.

MCE provides a unique collection of 282 chemical probes with high potency (at least 100 nM potency), selectivity (at least 10-fold selectivity against any other target) and cell-permeability (at least 10 μM potency). MCE Chemical probe library is a useful tool for target identification and mechanism research.

Alzheimer’s Disease (AD) is a progressive degenerative brain disease which causes mental and physical decline, gradually resulting in death. Despite the significant public health issue that it poses, only few medical treatments have been approved for Alzheimer’s Disease (AD) and these act to control symptoms rather than alter the course of the disease. Discovery of new therapeutic approaches depends on the study of pathology of AD. Recent research findings have led to greater understanding of disease neurobiology in Alzheimer's Disease (AD) and identification of unique targets for drug development. Several important mechanisms have been proposed to explain the underlying pathology of AD, such as Amyloid cascade hypothesis, Tau hypothesis and Cholinergic hypothesis, etc.

MCE offers a unique collection of 2,104 compounds with anti-Alzheimer’s Disease activities or targeting the unique targets of AD. MCE Anti-Alzheimer’s Disease Compound Library is a useful tool for exploring the mechanism of AD and discovering new drugs for AD.

Protein protein interactions (PPI) have pivotal roles in life processes. The studies showed that aberrant PPI are associated with various diseases, including cancer, infectious diseases, and neurodegenerative diseases. The classic drug targets are usually enzymes, ion channels, or receptors, the PPI indicate new potential therapeutic targets. Therefore, targeting PPI is a new direction in treating diseases and an essential strategy for the development of new drugs.

However, the design of modulators targeting PPI still faces tremendous challenges, such the difficult PPI interfaces for the drug design, lack of ligands reference, lack of guidance rules for the PPI modulators development and high-resolution PPI proteins structures.

With the development of high-throughput technology, high-throughput screening is also gradually used for the identification of PPI inhibitors, but the compound library used for conventional target screening is not very effective in screening PPI inhibitors. To improve screening efficiency, MCE carefully selected 797 PPI inhibitors and mainly targeting MDM2-p53, Keap1-Nrf2, PD-1/PD-L1, Myc-Max, etc. MCE Protein-protein Interaction Inhibitor Library is a useful tool for PPI drug discovery and related research.

Lung cancer is a major global health problem, as it is the leading cause of cancer-related deaths worldwide. Lung cancer is divided into two categories: small cell lung cancer and non-small cell lung cancer (NSCLC). Non-small cell lung cancer accounts for about 85 percent of lung cancers.

As with all cancers, lung cancer may be treated with surgery, chemotherapy, radiation therapy, targeted therapy, immunotherapy or a combination thereof. Targeted therapy is one of the most exciting developments in lung cancer medicine, especially for NSCLC. Extensive genomic characterization of NSCLC has led to the identification of molecular subtypes of NSCLC that are oncogene addicted and exquisitely sensitive to targeted therapies. These include activating mutations in epidermal growth factor receptor (EGFR) and BRAF or echinoderm microtubule-associated protein-like 4 (EML4)-anaplastic lymphoma kinase (ALK) fusions and ROS1 receptor tyrosine kinase fusions. These are important targets for target therapy.

MCE offers a unique collection of 2,925 compounds with identified and potential anti-lung cancer activity. These compounds target lung cancer’s major targets and signaling pathways. MCE anti-lung cancer compound library is a useful tool for anti-lung cancer drugs screening and other related research.

Fragment-based drug development (FBDD) is a strategy for drug discovery that can be applied both academically and commercially to enhance the identification of some non-drug targets. Fragment-based drug development has identified low molecular weight molecules (<300 Da) capable of binding to related macromolecules. These fragments can cover a wide chemical space and are easy to optimize later. Currently, several fragment-based drugs have entered clinical trials, of which two drugs, Vemurafenib and Venetoclax, have been approved for marketing.

Based on Tanimoto coefficient, MCE uses similarity algorithm to carefully select 2,252 high-structurally diverse 'RO3' compliant fragment molecules from large-scale fragment molecules, which can be applied to fragment based drug development.

Accumulating evidence has revealed that intestinal microbiota play an important role in human health and disease, including cardiovascular diseases, inflammatory bowel disease, diabetes, obesity, cancer, and depression, etc. Changes in the composition of gut microbiota associated with disease, referred to as dysbiosis, have been linked to pathologies. Indeed, the gut microbiome functions like an endocrine organ, generating bioactive metabolites which play important roles in human metabolism, health, and disease. Gut microbiome has become a novel therapeutic target for many diseases. Analysis and identification of gut microbial metabolite will contribute to the development of therapeutic methods.

In order to meet the need of gut microbiome research, MCE carefully selected a unique collection of 473 gut microbial metabolites. MCE gut microbial metabolite library is a powerful tool for gut microbiome research and gut microbiome -related drug discovery.