screening library

Pulmonary fibrosis (PF), also known as diffuse interstitial pulmonary fibrosis, is a very common end-stage manifestation of several diseases, including idiopathic pulmonary fibrosis (IPF), pulmonary hypertension, and scleroderma, characterised by excessive matrix deposition and destruction of the lung architecture, finally leading to respiratory insufficiency. PF has become a global disease with significantly increased incidence rate, and the most common form of pulmonary fibrosis is idiopathic pulmonary fibrosis (IPF).

Lung fibrosis is a complex disease, a multitude of signal factors and signaling pathways is disrupted in this complex disease, such as TGF-β, Wnt, VEGF and PI3K–Akt. MCE offers a unique collection of 2,810 compounds with identified and potential anti-pulmonary fibrosis activity. MCE Anti-Pulmonary Fibrosis Compound Library is a useful tool for anti-pulmonary fibrosis drugs screening and other related research.

A histone modification, a covalent post-translational modification (PTM) to histone proteins, includes methylation, phosphorylation, acetylation, ubiquitylation, and sumoylation, etc. In general, histone modifications are catalyzed by specific enzymes that act predominantly at the histone N-terminal tails involving amino acids such as lysine or arginine, as well as serine, threonine, tyrosine, etc. The PTMs made to histones can impact gene expression by altering chromatin structure or recruiting histone modifiers. Histone modifications act in diverse biological processes such as transcriptional activation/inactivation, chromosome packaging, and DNA damage/repair. Deregulation of histone modification contributes to many diseases, including cancer and autoimmune diseases.

MCE owns a unique collection of 931 bioactive compounds targeting Epigenetic Reader Domain, HDAC, Histone Acetyltransferase, Histone Demethylase, Histone Methyltransferase, Sirtuin, etc. Histone Modification Research Compound Library is a useful tool for histone modification research and drug screening.

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.

Cysteine proteases (CPs), a key enzyme family regulating physiological metabolism and mediating pathological processes (such as abnormal bone resorption, tumour invasion, and pathogen infection), represent a core therapeutic target for developing specific inhibitors in disease intervention. Currently reported CP inhibitors primarily achieve their inhibitory function by precisely binding to CP active pockets (e.g., S1-S4 non-primed regions or S1'-S2' primed regions) and forming covalent/non-covalent interactions with the active site cysteine residues, providing clear structural references for the development of novel inhibitors.

This compound library, designed based on the core strategy of "similarity-based known active structures", contains over 200 cysteine protease inhibitors. Leveraging AI-driven molecular screening technology, it retains the critical pharmacological and shape features of reported CP inhibitors, serving as a specialized tool for efficiently discovering novel cysteine protease inhibitors.

Cardiovascular diseases (CVDs) are a group of disorders of the heart and blood vessels which include coronary heart disease, cerebrovascular disease, peripheral arterial disease, rheumatic heart disease, etc. CVDs are the number 1 cause of death globally. Smoking, unhealthy nutrition, aging population, lack of physical activity, arterial hypertension, or diabetes can promote cardiovascular disease like myocardial infarction or stroke. It is multifactorial and encompasses a multitude of mechanisms, such as eNOS uncoupling, reactive oxygen species formation, chronic inflammatory disorders and abnormal calcium homeostasis. Antioxidant, anti-inflammatory and anti-diabetes agents may reduce the cardiovascular disease risk.

MCE supplies a unique collection of 2,468 compounds with confirmed anti-cardiovascular activity. These compounds mainly target metabolic enzyme, membrane transporter, ion channel, inflammation related signaling pathways. MCE Anti-Cardiovascular Disease Compound Library can be used for cardiovascular diseases related research and high throughput and high content screening for new drugs.

The developmental proteins Hedgehog, Notch and Wnt are key regulators of cell fate, proliferation, migration and differentiation in several tissues. Their related signaling pathways are frequently activated in tumors, and particularly in the rare subpopulation of cancer stem cells. The Wnt signaling pathway is a conserved pathway in animals. Deregulated Wnt signaling has catastrophic consequences for the developing embryo and it is now well appreciated that defective Wnt signaling is a causative factor for a number of pleiotropic human pathologies, including cancer. Hedgehog signaling pathway is linked to tumorigenesis and is aberrantly activated in a variety of cancers. The Notch signaling pathway is a highly conserved cell signaling system present in most animals. It plays an important role in cell-cell communication, and further regulates embryonic development.

MCE designs a unique collection of 654 Wnt/Hedgehog/Notch signaling pathway-related small molecules. Wnt/Hedgehog/Notch Compound Library serves as a useful tool for stem cell research and anti-cancer drug screening.

Linkers, as key structural units in PROTAC molecules that connect the two functional ends, not only determine the overall molecular conformation and spatial compatibility but also directly influence the stability of the ternary complex, as well as cellular permeability and degradation efficiency. In recent years, with the widespread application of click chemistry in medicinal chemistry, the incorporation of bioorthogonal reactive groups such as azides (-N₃) into PROTAC linker design has become an emerging research focus, providing an important tool for modular assembly and rapid structural optimization.

The MCE Azide PROTAC Linker Library contains 0 linkers specifically designed for targeted protein degradation molecule design and optimization. These linkers serve as efficient “click handles,” enabling rapid and highly selective covalent coupling with alkyne reaction partners, thereby facilitating modular assembly and structural diversification of PROTAC molecules. In drug development, this design not only improves the efficiency of molecular construction but also significantly accelerates the screening and optimization of lead compounds. Meanwhile, by tuning linker properties such as length, flexibility, and polarity, the ability to form ternary complexes and degradation activity can be optimized.

Natural products are small-molecule compounds produced in nature, derived from animals, plants, and microorganisms, including both primary and secondary metabolites. With their structural diversity and favorable biological activities, natural products have long been an important source for drug discovery. Traditional natural product research has often focused on isolating single active components, whereas metabolomics emphasizes a holistic approach—comprehensively detecting all metabolites in a sample and systematically capturing both known and unknown constituents. Consequently, mass spectrometry‑based metabolomics databases have become a key technological support for screening known components and identifying unknown compounds from natural sources.

MCE Mass Spectrometry Natural Product Library contains 4,412 natural products, covering multiple structural classes, including sugars and glycosides, phenylpropanoids, quinones, flavonoids, terpenoids, etc. All compounds have undergone rigorous quality control by LC/MS and other analytical methods, and can serve as high‑purity reference standards for metabolite identification.

Colorectal cancer (CRC), also known as bowel cancer, colon cancer, or rectal cancer, arises as adenocarcinoma from glandular epithelial cells of the large intestine comprised of the colon and rectum. The majority of cases of CRC are sporadic and result from risk factors, such as a sedentary lifestyle, obesity, processed diets, alcohol consumption and smoking. CRC is also a common preventable cancer.

Studies showed several cellular signaling pathways dysregulated in CRC, leading to the onset of malignant phenotypes. Therefore, it is necessary to analyze the signaling pathways involved in the occurrence and development of colorectal cancer to study the progression and drug treatment of colorectal cancer. Among them, Wnt/β-catenin, p53, TGF-β/SMAD, NF-κB, Notch, VEGF and other target genes and signaling pathways are the focus of research. MCE offers a unique collection of 2,653 compounds with identified and potential anti-colorectal cancer activity. MCE anti-colorectal cancer compound library is a useful tool for anti-colorectal cancer drugs screening and other related research.

Blood cancers, also called hematologic cancers, occur when abnormal blood cells start growing out of control, interrupting the function of normal blood cells, which fight off infection and produce new blood cells. Most blood cancers start in the bone marrow, which is where blood is produced. There are three main types of blood cancers: leukemia, lymphoma and myeloma, which afflict millions of children and adults every year, and are often deadly.

Some common blood cancer treatments include stem cell transplantation, chemotherapy, radiation therapy, targeted therapy, immunotherapy or a combination thereof. As we begin to understand the key signaling pathways and molecular drivers of malignant transformation in haematological disorders, new treatment strategies will continue to be developed.

MCE offers a unique collection of 4,333 compounds with identified and potential anti-blood cancer activity. These compounds target blood cancer’s major targets and signaling pathways. MCE anti-blood cancer compound library is a useful tool for anti-blood cancer drugs screening and other related research.

Liver cancer is one of the leading malignancies which occupies the second position in cancer deaths worldwide, becoming serious threat to human health. Hepatocellular carcinoma (HCC), also known as hepatoma is the most common type accounting for approximately 90% of all liver cancers.

Current evidence indicates that during hepatocarcinogenesis, two main pathogenic mechanisms prevail: (1) cirrhosis associated with hepatic regeneration after tissue damage caused by hepatitis infection, toxins or metabolic influences, and (2) mutations occurring in single or multiple oncogenes or tumor suppressor genes. Both mechanisms have been linked with alterations in several important cellular signaling pathways. These include the RAF/MEK/ERK pathway, PI3K/AKT/mTOR pathway, WNT/b-catenin pathway, insulin-like growth factor pathway, c-MET/HGFR pathway , etc.

MCE offers a unique collection of 3,003 compounds with identified and potential anti-liver cancer activity. MCE anti-liver cancer compound library is a useful tool for anti-liver cancer drugs screening and other related research.

Pancreatic cancer is a devastating disease with a low overall survival rate. Chemotherapy is the most common treatment for patients presenting with advanced pancreatic cancer. More recently, the era of targeted therapies has generated a lot of interest in discovering better approaches for patients with pancreatic cancer. Commonly mutated genes in pancreatic cancer include K-ras (in 74-100% of cases), p16INK4a (up to 98%), p53 (43 to 76%), DPC4 (about 50%), HER-2/neu (in about 65%) and FHIT (found in 70% of cases). Other genes involved are notch1, Akt-2, BRCA2 and COX-2. These proteins are important targets of target therapies for pancreatic cancer.

MCE offers a unique collection of 4,336 compounds with identified and potential anti- pancreatic cancer activity. These compounds target K-Ras, p53, HER2, Notch, AKT, etc. MCE anti-pancreatic cancer compound library is a useful tool for anti-pancreatic cancer drugs screening and other related research.

KRAS (Kirsten Rat Sarcoma Viral Oncogene Homolog) is one of the most important oncogenic driver genes in oncology, with high mutation frequencies in pancreatic cancer, non‑small cell lung cancer, and colorectal cancer. For a long time, KRAS was considered "undruggable" due to the lack of suitable small‑molecule binding pockets on its protein surface. In recent years, with the discovery of the switch‑II pocket and the successful approval of KRAS G12C inhibitors, KRAS‑targeted research has achieved groundbreaking progress, which has also spurred a wave of development targeting non‑G12C mutants such as G12D and G12V, as well as upstream and downstream regulatory factors including SOS1 and SHP2.

MCE KRAS Targeted Compound Library contains 82 small‑molecule compounds targeting the KRAS, serving as high‑quality research tools for mechanistic studies of KRAS‑mutant tumors, combination therapy development, resistance mechanism exploration, and high‑throughput drug screening, thereby providing robust support for KRAS‑targeted drug discovery.

Lactic acid metabolism is one of the key metabolic pathways within living organisms. It plays a crucial role not only in cellular energy conversion but is also closely related to a variety of physiological and pathological processes. The production and clearance of lactic acid are important indicators of cellular metabolic balance, and its abnormal regulation may lead to conditions such as lactic acidosis, muscle fatigue, and hereditary metabolic diseases. Moreover, lactic acid is closely related to the malignancy of tumors and is considered a biomarker for malignant tumors and poor prognosis. Lactic acid can serve as a metabolic substrate to support the metabolic needs of tumor cells under hypoxic conditions, and it can also cause acidification of the tumor microenvironment, suppress immune cell function to promote immune evasion, and induce drug resistance in tumor cells. Currently, targeting lactic acid-lactylation and its related metabolic pathways has become a new research avenue for cancer treatment. In-depth exploration of the molecular mechanisms of lactic acid metabolism can help in screening lead compounds that regulate the lactic acid metabolism.

MCE contains 582 small molecule compounds targeting enzymes involved in lactic acid metabolism. This library is of significant value for researching the role of lactate metabolism in the mechanisms of diseases.

Ionizable lipids are a class of specialized, functional lipid molecules with pH-sensitive charge characteristics. They are primarily divided into two major categories: ionizable cationic lipids and ionizable anionic lipids, though the term typically specifies ionizable cationic lipids within the biomedical field. Structurally, these lipids consist of an ionizable hydrophilic headgroup, a biodegradable linker, and hydrophobic tails. Their primary application is serving as the key delivery vehicle in lipid nanoparticles (LNPs) to encapsulate negatively charged nucleic acid macromolecules, such as mRNA vaccines, siRNA therapeutics, and CRISPR gene-editing components. In a physiological, neutral environment, they remain electrically neutral to minimize systemic toxicity and prolong circulation time. Upon entering the acidic microenvironment of cellular endosomes, however, they undergo protonation to become positively charged, thereby inducing membrane fusion and enabling the highly efficient intracellular release of the nucleic acid cargo. Consequently, they serve as the technological cornerstone for bringing nucleic acid therapies into clinical application.

To accelerate the translational process of cutting-edge nucleic acid drugs, MCE has meticulously constructed an ionizable lipid compound library containing 93 high-performance molecules, aiming to provide researchers and pharmaceutical professionals with a high-throughput, multi-dimensional lipid screening platform.

The transforming growth factor beta (TGF-β) signaling pathway is involved in many cellular processes in both the adult organism and the developing embryo including cell growth, cell differentiation, apoptosis, cellular homeostasis and other cellular functions. The TGF-β superfamily comprises TGF-βs, bone morphogenetic proteins (BMPs), activins and related proteins. Signaling begins with the binding of a TGF beta superfamily ligand to a TGF beta type II receptor. The type II receptor is a serine/threonine receptor kinase, which catalyzes the phosphorylation of the Type I receptor. The type I receptor then phosphorylates receptor-regulated SMADs (R-SMADs) which can now bind the coSMAD (e.g. SMAD4). R-SMAD/coSMAD complexes accumulate in the nucleus where they act as transcription factors and participate in the regulation of target gene expression. Deregulation of TGF-β signaling contributes to developmental defects and human diseases, including cancers, some bone diseases, chronic kidney disease, etc.

MCE designs a unique collection of 458 TGF-beta/Smad signaling pathway compounds. TGF-beta/Smad Compound Library acts as a useful tool for TGF-beta/Smad-related drug screening and disease research.

In drug discovery and development (R&D) area, target binding and druggability optimization are core processes. Among these attributes, high solubility is critical for a compound to achieve druggability, as it directly impacts the progress of drug R&D. Superior solubility ensures the rapid dissolution and uniform distribution of drug molecules in vivo, thereby enhancing bioavailability and effectively mitigating issues such as suboptimal efficacy, increased dosage requirements, or exacerbated toxic and side effects arising from insufficient solubility.

From the perspective of medicinal chemistry, high-solubility drug fragments serve as high-quality "molecular building blocks". Based on these fragments, lead compounds with potential druggability can be rapidly screened out, which significantly shortens the drug R&D cycle and reduces R&D costs. Meanwhile, the high-solubility drug fragment library can provide diverse options for drug development in different therapeutic areas, offer solutions for the solubility defects of existing clinical drugs, and facilitate the development of novel, highly effective targeted drugs with higher bioavailability and better safety profiles.

MCE has collected and compiled 2,527 experimentally validated small-molecule fragments with high solubility. These fragments can be directly used for drug molecular design, providing high-quality pre-validated solubility fragments that significantly improve the efficiency of lead compound screening and accelerate the progress of drug R&D.

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 3,061 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.

Macrocyclic compounds (≥12-atom cyclic small molecules/peptides) have unique physicochemical properties. They form preorganized conformations with high binding affinity/selectivity, target traditional small-molecule-inaccessible proteins, and bridge small-molecule drugs and biological agents. As key protein phosphorylation enzymes, kinases are linked to tumors, COPD, etc., and are critical therapeutic targets. Traditional small-molecule kinase inhibitors lack selectivity, causing off-target toxicity, low bioavailability, and acquired resistance. Macrocycles’ semi-rigid structure restricts conformations, boosts binding selectivity, optimizes pharmacokinetics, and makes macrocyclization a core kinase inhibitor optimization strategy.

Thousands of bioactive macrocycles were curated from ChEMBL. Via Transformer, macrocyclization was converted into a chemical language translation task, enabling end-to-end macrocycle generation from linear precursors with simplified inputs. Macformer achieves efficient, automated linear molecule macrocyclization via deep learning; generated macrocycles have diversity, novelty, biocompatibility, and cover broader chemical space.

MCE collected thousands of marketed/clinical kinase inhibitors, using their fragments for macrocyclization to generate derivatives. After evaluating synthetic accessibility and physicochemical properties, a million-scale virtual macrocyclic library was built for kinase-related virtual and AI-driven screening.

Macrocyclic compounds (≥12-atom cyclic small molecules/peptides) have unique physicochemical properties. They form preorganized conformations with high binding affinity/selectivity, target traditional small-molecule-inaccessible proteins, and bridge small-molecule drugs and biological agents. As key protein phosphorylation enzymes, kinases are linked to tumors, COPD, etc., and are critical therapeutic targets. Traditional small-molecule kinase inhibitors lack selectivity, causing off-target toxicity, low bioavailability, and acquired resistance. Macrocycles’ semi-rigid structure restricts conformations, boosts binding selectivity, optimizes pharmacokinetics, and makes macrocyclization a core kinase inhibitor optimization strategy.

Thousands of bioactive macrocycles were curated from ChEMBL. Via Transformer, macrocyclization was converted into a chemical language translation task, enabling end-to-end macrocycle generation from linear precursors with simplified inputs. Macformer achieves efficient, automated linear molecule macrocyclization via deep learning; generated macrocycles have diversity, novelty, biocompatibility, and cover broader chemical space.

MCE collected thousands of marketed/clinical kinase inhibitors, using their fragments for macrocyclization to generate derivatives. After evaluating synthetic accessibility and physicochemical properties, a million-scale virtual macrocyclic library was built for kinase-related virtual and AI-driven screening.