intervention

The anti-cancer drug library meticulously collects all drugs approved by FDA and other major national drug regulatory authorities for cancer treatment. These drugs cover a variety of cancer types, including but not limited to lung cancer, breast cancer, colorectal cancer, leukemia, and other common cancers. The library includes a wide range of drugs, from classic chemotherapeutic agents to cutting-edge targeted therapies and immunotherapies. It contains various types of drug compounds with different mechanisms of action. There are cytotoxic drugs that directly kill cancer cells, as well as drugs that work by modulating the tumor microenvironment, inhibiting tumor angiogenesis, and activating the immune system. This diversity provides researchers with a broad range of perspectives and options for intervention strategies.

This library can be used for basic research on cancer treatment, exploring new targets and new mechanisms of drug action; Conducting drug reuse research to look for potential therapeutic effects of existing drugs on other cancer types or diseases; Or conducting research into combination drugs to optimize cancer treatment.

MCE has collected 265 small-molecule compounds with cancer indications, which are good tools for drug repurposing.

Neuronal Signaling is involved in the regulation of the mechanisms of the central nervous system (CNS) such as its structure, function, genetics and physiology as well as how this can be applied to understand diseases of the nervous system. Every information processing system in the CNS is composed of neurons and glia, neurons have evolved unique capabilities for intracellular signaling (communication within the cell) and intercellular signaling (communication between cells). G protein-coupled receptors (GPCRs), including 5-HT receptor, histamine receptor, opioid receptor, etc. are the largest class of sensory proteins and are important therapeutic targets in Neuronal Signaling. Besides, Notch signaling, such as β- and γ-secretase, also plays multiple roles in the development of the CNS including regulating neural stem cell (NSC) proliferation, survival, self-renewal and differentiation. GPCR dysfunction caused by receptor mutations and environmental challenges contributes to many neurological diseases. Notch signaling in neurons, glia, and NSCs is also involved in pathological changes that occur in disorders such as stroke, Alzheimer's disease and CNS tumors. Thus, targeting Neuronal Signaling, such as notch signaling and GPCRs, can be used as therapeutic interventions for several different CNS disorders.

MCE designs a unique collection of 3,961 Neuronal Signaling-related compounds that act as a useful tool for the research of neuronal regulation and neuronal diseases.

The RNA-targeted bioactive compound library is a high-quality collection of small molecules specifically designed and curated to target RNA structures and functions. It is widely applied in cutting-edge drug discovery and life science research. Unlike traditional strategies that focus on protein targets, RNA-targeted compounds can directly modulate various functional RNA molecules by influencing their splicing, translation, stability, or structural conformation, thereby enabling precise intervention in key biological processes. In the field of drug development, these compounds provide a novel approach to addressing previously “undruggable” targets and have demonstrated significant potential in areas such as oncology, antiviral therapies, and neurodegenerative diseases. For example, by targeting disease-associated RNA structural domains or regulating the aberrant expression of non-coding RNAs, these compounds can effectively inhibit disease progression or restore normal cellular function. In mechanistic studies, RNA-targeted compounds serve as valuable chemical biology tools to elucidate the roles of RNA in gene expression regulation, cellular signaling pathways, and disease development.

The MCE RNA-targeted bioactive compound library contains 858 compounds, sourced from databases such as TargetRX Atlas and R-BIND. The library features excellent structural diversity and biological activity, making it suitable for high-throughput screening (HTS), target validation, phenotypic screening, and lead compound discovery. It represents a valuable resource for RNA-related research and innovative drug development.

RNA is crucial for the regulation of numerous cellular processes and functions. With the in-depth study of disease mechanisms, processes such as RNA expression, splicing, translation, and stability regulation have become new targets for disease intervention. RNA has provided new therapeutic modalities for metabolic diseases, genetic disorders, and cancer patients, resulting in several innovative drugs.

MCE R&D team collected small molecules targeting RNA from the PDB, R-BIND, ROBIN, and internal database as the positive dataset, and non-targeting RNA small molecules from ROBIN as the negative dataset. Based on the GeminiMol pre-trained model, we encoded the molecules and calculated over 1700 molecular descriptors using Mordred as inputs for the model. Subsequently, we employed 13 deep learning models to learn from the data. All of which yielded good training results, with AUROCs greater than 0.75. Ultimately, we selected the Finetune model to screen HY-L901P, which exhibited the best classification performance, achieving an AUROC of 0.82 and a prediction accuracy of 0.76. We then applied filtering based on StaR rules (with at least two of the following properties: cLogP ≥ 1.5, Molar Refractivity ≥ 4, Relative Polar Surface Area ≤ 0.3) to obtain a library containing approximately 5,000 small molecule compounds targeting RNA. This library serves as a valuable tool for screening small molecules that interact with RNA.

Carbohydrate metabolism serves as a central hub for energy supply and biosynthesis in living organisms and plays a critical role in the onset and progression of various diseases. In recent years, studies have shown that tumor cells reprogram their energy metabolism through aerobic glycolysis (the Warburg effect) to support rapid proliferation. Immune cells also rely on specific carbohydrate metabolic pathways to regulate their activation and differentiation states, while disorders such as diabetes and metabolic syndrome arise directly from dysregulation of carbohydrate metabolism. In addition, enzymes and key metabolic nodes involved in carbohydrate metabolism have become important targets for drug discovery, and therapeutic strategies targeting glycolysis, the pentose phosphate pathway, and energy metabolism are continuously advancing the treatment of cancer and metabolic diseases. Therefore, systematic analysis of carbohydrate metabolic networks and their associated metabolites is of great significance for elucidating disease mechanisms and developing novel therapeutic approaches.

The MCE Carbohydrate Metabolism Metabolite Library is constructed based on classical carbohydrate metabolic pathways and contains 76 metabolites. It systematically integrates key metabolic networks, including glycolysis, the pentose phosphate pathway, the tricarboxylic acid (TCA) cycle, monosaccharide metabolism, and sugar acid interconversions. The library comprehensively covers core metabolic nodes from glucose uptake and utilization to energy production and biosynthesis, while also incorporating important upstream and downstream intermediates. It enables accurate representation of intracellular metabolic flux dynamics and is well suited for applications such as metabolic flux analysis, target validation, and mechanistic studies. Furthermore, it provides robust support for multi-omics integration and the development of precision intervention strategies.