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generation

" in MedChemExpress (MCE) Product Catalog:

1145

Inhibitors & Agonists

9

Screening Libraries

21

Fluorescent Dye

130

Biochemical Assay Reagents

36

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5

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12

Inhibitory Antibodies

177

Natural
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123

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14

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73

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2

GMP Molecules

Cat. No. Product Name
  • HY-L0104V
    UORSY New Generation Screening Library
    		1,900,000 compounds
    UORSY New Generation Screening Library contains about 1,900,000 compounds. The library is a revolutionary collection of lead-like molecules with outstanding structural quality and diversity—New Generation Screening Library (NGSL). Its core is decorated with interesting building blocks, including important medicinal fragments such as peptide bonds, amino groups and hydroxyl groups. and designed for discovery of new Voltage-gated calcium channel blockers.
  • HY-L0118V
    Asinex Covalent Inhibitors Library
    		942 compounds

    A unique set of molecules containing mild electrophilic moieties that covalently interact with amino acid residues in the target protein. The diversity of our compounds for covalent drug discovery ranges from natural product-like scaffolds to macrocycles, creating multiple opportunities in hit generation for a selected target.
  • HY-L058
    Glycolysis Compound Library
    		1,258 compounds

    Glycolysis is a series of metabolic processes by which one molecule of glucose is catabolized to two molecules of pyruvate with a net gain of two ATP. Glycolysis takes place in 10 steps and catalyzed by a series of enzyme, such as hexokinase, Glucose-6-phosphate isomerase, Phosphofructokinase, etc. Glycolysis is used by all cells in the body for energy generation.

    Most cancer cells exhibit increased glycolysis and use this metabolic pathway for generation of ATP as a main source of their energy supply. This phenomenon is known as the Warburg effect and is considered as one of the most fundamental metabolic alterations during malignant transformation. Because increased aerobic glycolysis is commonly seen in a wide spectrum of human cancers, development of novel glycolytic inhibitors as a new class of anticancer agents is likely to have broad therapeutic applications.

    MCE provides a unique collection of 1,258 glycolysis compounds that mainly target hexokinase, glucokinase, enolase, pyruvate kinase, PDHK, etc. MCE Glycolysis Compound Library is a useful tool for glucose metabolism research and anti-cancer drug discovery.
  • HY-L227
    Amino Acid Metabolite Compound Library
    		196 compounds

    Amino acids are the fundamental components that sustain life activities, playing roles in ATP generation, promoting nucleotide synthesis, and maintaining cellular redox balance. Moreover, dysregulation of amino acid consumption is a significant potential regulatory mechanism leading to impaired anti-tumor immunity in immune cells. The normal functioning of immune cells relies on amino acid metabolic pathways to obtain energy and materials, and upon activation, they reprogram their metabolism to support growth, proliferation, and effector functions. Additionally, metabolic disorders of specific amino acids (such as branched-chain amino acids, glutamine, and arginine) can exacerbate mitochondrial dysfunction and oxidative stress, thereby promoting myocardial fibrosis and cardiac cell damage. Therefore, conducting research related to amino acid metabolism holds promise for discovering potential drugs for diseases related to cancer, immunity, and metabolism.

    MCE can provide 196 kinds of metabolites of amino acid metabolic pathways, which can be used for drug screening in various diseases such as cancer, immune disorders, metabolic diseases, mitochondrial-targeted diseases
  • HY-L027
    Antiviral Compound Library
    		1,180 compounds

    Viruses are much simpler organisms than bacteria, and they are made from protein substances and nucleic acid. Despite the fact that the exact mechanism of infection is extremely specific to each type of virus, the general scheme of infection can be represented in the following manner: A virus is absorbed at the surface of a host cell and then permeates through the membrane, where it releases nucleic acid from its protein protection. Then the viral nucleic acid begins to replicate, and transcription of the viral genome takes place either in the cytoplasm, or in the nucleus of the host cell. As a result of these events, a large amount of viral nucleic acid and protein are made to make new generations of virions. Therefore, one mechanism of action of antiviral drugs is to interfere with the ability of a virus to get into a target cell. A second mechanism of action is to target the processes that synthesize virus components after a virus invades a cell, such as nucleotide or nucleoside analogs.

    MCE designs a unique collection of 1,180 anti-virus compounds that target several viruses, including SARS-CoV, HBV, HCV, HIV, HSV and Influenza Virus. It’s an effective tool for anti-virus drug discovery.
  • HY-L934
    CRBN Ligand Library
    		118 compounds

    CRBN, namely cereblon, is the substrate recognition subunit of the E3 ubiquitin ligase complex in the ubiquitin-proteasome system. A CRBN ligand library refers to a collection of numerous fragments that can specifically bind to the CRBN protein.

    These ligands are mostly designed based on validated CRBN-binding warheads and modified through AI-driven molecular generation optimization systems. They not only include classic lenalidomide-derived structures but also cover novel non-lenalidomide scaffolds. After drug-likeness filtering, these ligands exhibit structural diversity and favorable druggable properties. They can be further optimized and modified to facilitate the development of novel molecular glue degraders, accelerate the discovery of molecular glues that induce interactions between CRBN and new substrate proteins, and enable the exploration of novel CRBN substrates for identifying previously unknown CRBN-binding proteins.

    MCE compiles 118 fragments that can specifically bind to the CRBN protein, with molecular weights ranging from 200 to 500. Compounds developed based on the library ligands target multiple disease targets such as cancer and autoimmune diseases, further advancing the development of Molecular Glues and PROTACs therapeutic agents.
  • HY-L936V0
    Molecular Glue Virtual Library
    		11412 compounds

    Molecular Glue Virtual Library is constructed using generative AI technology, integrating the structural features, activity data of known molecular glues, and interaction information of ternary complexes (target protein-E3-molecular glue). Endowed with structural novelty, drug-likeness, diversity and synthesizability, it is applicable to molecular glue-based AI drug screening and large-scale virtual screening.

    MCE builds this library based on high-quality molecular building blocks by virtue of robust computing power, coupled with rigorous reaction rules and optimized compound generation strategies. To ensure library quality, molecules with high synthetic difficulty, poor drug-likeness, PAINS and other undesirable molecules are excluded first. Subsequently, scaffold-based compound analysis is performed to screen drug-like diverse molecules for synthesizability evaluation; those with excessively high synthetic difficulty are removed, ultimately forming a large-scale molecular glue virtual library with structural diversity, synthesizability and drug-likeness.

    Compounds in the library can be synthesized in only 1-2 chemical reaction steps. With MCE’s experienced chemical synthesis team, custom synthesis of different scales from milligram to kilogram can be easily achieved to meet diverse customer needs.

  • HY-L932V0
    Kinase Macrocyclic Compound Virtual Library
    		2,000,000 compounds

    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.
  • HY-L932V
    Kinase Macrocyclic Compound Virtual Library
    		2,000,000 compounds

    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.

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