NO detection

19F-NMR has proved to be a detection mode in fragment-based drug discovery (FBDD) for studies of protein structure and interactions. 19F shows high sensitivity for NMR detection, and the exquisite sensitivity of 19F chemical shifts and linewidths to ligand binding all make it a valuable approach in FBDD.F (Fluorine) -Fragments can be used for 19F-NMR detection after binding to target proteins, and can be used as an effective 19F-NMR tool for FBDD.

MCE designs a unique collection of 5,123 F-fragments, all of which obey a heuristic rule called the “Rule of Three (RO3)”, in which molecular weight ≤300 Da, the number of hydrogen bond donors (H-donors) ≤3, the number of hydrogen bond acceptors (H-acceptors) is ≤3 and cLogP is ≤3. This F-fragments library is an important source of lead-like drugs.

Human metabolism is an integral part of cellular function that reflects individual differences in health, disease, diet, and lifestyle. Many health conditions such as obesity, diabetes, hypertension, heart disease, and cancer are associated with abnormal metabolic states. In the pathological state of the human body, metabolic pathways are significantly altered, resulting in aberrant levels of intermediates or end-products that can be viewed as potential diagnostic biomarkers or even therapeutic targets. Therefore, detection, identification and quantification of human metabolites are very important for drug metabolism research in drug development.

MCE offers a unique collection of 6,717 human metabolites, including endogenous metabolites and exogenous metabolites, covering multiple structure types, such as lipids, amino acids, nucleic acids, carbohydrates, organic acids, biogenic amines, vitamins,. MCE Human Metabolites Library is a helpful tool for studying the relationship between diseases and metabolism.

Metabolomics is the large-scale study of cellular metabolic complement, with proven utility in both basic and applied studies of plants, microorganisms, and mammals. As an important tool for the study of complex biological systems, metabolomics monitors the complex molecular networks that exist in the natural flow of information from genes to mRNA and proteins to organisms. The metabolome is composed of biomolecules that most closely resemble the phenotype of an organism, and changes in its composition can easily lead to the production of diseases. Therefore, metabolomics has received much attention in drug target discovery, drug response and translational research of disease mechanisms. Mass spectrometry-based metabolomics methods can simultaneously detect and quantify thousands of metabolite signatures, thereby characterizing the pathophysiological mechanisms of various biomedical symptoms.

MCE can provide 664 mass spectrometry human endogenous metabolites that can be used for metabolite identification and quantification, functional cell detection and phenotypic screening of mass spectrometry.

Kidneys are one of the vital organs in the human body. Due to their exposure to higher concentrations of circulating drugs or metabolites, they are highly susceptible to drug-induced renal injury (DIRI). According to statistics, drug-induced kidney injury accounts for approximately 20% of nephrotoxicity reports and can lead to acute kidney injury (AKI), chronic kidney disease (CKD), or even end-stage renal disease (ESRD). Early detection of drug nephrotoxicity is crucial for preventing irreversible kidney damage. Research into its mechanisms can help optimize clinical medication by adjusting dosages or avoiding combinations of nephrotoxic drugs. Additionally, predicting drug-induced nephrotoxicity in early drug development can reduce the risk of late-stage R&D failure.

MCE offers 158 nephrotoxicity compounds that have been clearly reported by the FDA to be associated with kidney injury. This library can be used for studying molecular mechanisms of nephrotoxicity or developing novel biomarkers.

Metabolomics, positioned as the systemic characterization of small-molecule metabolites within biological systems, has emerged as an indispensable analytical platform in both fundamental research and translational applications across plant sciences, microbial biotechnology, and biomedical investigations. Functioning as a critical component in multi-omics integration, this discipline deciphers the intricate molecular networks operating downstream of genomic, transcriptomic, and proteomic regulation, thereby capturing the dynamic biochemical phenotype closest to organismal functionality. The metabolome, comprising endogenous compounds with molecular weights typically below 1500 Da, serves as the functional readout of cellular processes and environmental interactions, where perturbations in metabolic networks are frequently implicated in disease pathogenesis. Such unique attributes have propelled metabolomics into a pivotal role in pharmacological research, particularly in target deconvolution, pharmacodynamic assessment, and mechanistic elucidation of pathological processes.

MCE can provide 5,923 mass spectrometry human metabolites that can be used for metabolite identification and quantification, functional cell detection and phenotypic screening of mass spectrometry.

Ovarian cancer is the most common cause of death in female genital malignancies, with the highest mortality rate in female genital malignancies. It is characterized by difficulty in detection in the early stage of the disease, high recurrence rate and poor prognosis. In fact, ovarian cancer includes many pathologic types. It is usually divided into epithelial ovarian cancer, malignant germ cell tumors and sex cord stromal tumors, of which epithelial ovarian cancer is the most dominant form. Clinical treatment of ovarian cancer prioritizes surgery combined with paclitaxel chemotherapy. However, due to the spread and drug resistance of tumor cells, the recurrence of ovarian cancer is high. In this case, combined with traditional methods, the development of new therapeutic agents can help to improve the treatment effect of ovarian cancer.

MCE designs a unique collection of 2,817 compounds with definite or potential anti-ovarian cancer activity, which mainly targeting the main targets of ovarian cancer such as PARP, ATM/ATR, VEGFR and HIF/HIF Prolyl-Hydroxylase, etc. It is an essential tool for development and research of anti-ovarian compounds.

The discovery of hit molecule is a cornerstone of drug development. Among the diverse tools available, DNA-encoded libraries have emerged a revolutionary platform for high-throughput screening. Compared with traditional HTS, DEL features shorter screening processes, lower costs, simpler assays, and larger library capacities.

DEL Construction utilizes split-and-pool synthesis, a combinatorial chemistry approach that involves iterative splitting, reaction, and pooling. This strategy enables rapid, exponential assembly of fragments in minimal steps without the need for individual compound synthesis andassoicicated isolation or purification steps, thus greatly reducing overall costs. The technology enables simultaneous affinity screeningof massive compound collections to target proteins in a single step. By coupling chemical structures with unique DNA barcodes, each compound is tagged with a distinct DNA sequence for convenient tracking and decoding.DELs readily enable the construction and efficient screening of libraries containing millions to billions of compounds. As a result, DEL screening combines the dual advantages of high efficiency and low cost, making DEL a transformative technology in modern drug discovery.

The DEL kit consists of 50 independent libraries with a total scale of 100 billion compounds. It is constructed through stepwise combinatorial chemistry strategies involving 2-, 3-, and 4-round synthesis. By employing diverse scaffolds and flexible linking strategies, it encompasses various ring systems, linear frameworks, and heterocyclic structures. Screening can be achieved solely through affinity, independent of target-specific activity detection methods. This library is suitable for DEL screening against a wide range of targets.

MCE Nitric Oxide Detection Kit employs a modified Griess method to detect the content of Nitric Oxide in various samples.

MCE 3D Cell-ATP Viability Detection kit is based on high-sensitivity bioluminescence detection technology (luciferase system) that quantitatively measures ATP to detect the number and viability of 3D cells in culture.

MCE Cell-ATP Viability Detection Kit is used for detecting the number and viability of living cells in culture based on high-sensitivity bioluminescence detection technology of the ATP present.Product specifications: Large sizes are based on 100 mL increments.

MCE HOLO Mouse Interferon-γ (IFN-γ) Detection Kit is a homogeneous luminescence-based assay used for the quantitative detection of mouse IFN-γ concentrations in biological samples such as buffer solutions, cell culture supernatants, or serum.

MCE Exosome Protein Detection Kit (CD63&TSG101) can specifically detect exosome proteins CD63 and TSG101. This product is suitable for the detection of human, rat and mouse exosomes.

MCE HOLO Human Interferon-γ (IFN-γ) Detection Kit is a homogeneous luminescence-based assay used for the quantitative detection of human IFN-γ concentrations in biological samples such as buffer solutions, cell culture supernatants, or serum.

MCE HOLO Mouse Tumor Necrosis Factor-α (TNF-α) Detection Kit is a homogeneous luminescence-based assay used for the quantitative detection of mouse TNF-α concentrations in biological samples such as buffer solutions, cell culture supernatants, or serum.

MCE HOLO Human Tumor Necrosis Factor-α (TNF-α) Detection Kit is a homogeneous luminescence-based assay used for the quantitative detection of human TNF-α concentrations in biological samples such as buffer solutions, cell culture supernatants, or serum.