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Results for "

scores

" in MedChemExpress (MCE) Product Catalog:

19

Inhibitors & Agonists

5

Screening Libraries

1

Peptides

2

Natural
Products

1

Isotope-Labeled Compounds

Cat. No. Product Name
  • HY-L920
    25000 compounds
    With the aging population and increasing competitive pressures, neurodegenerative diseases of the central nervous system (CNS) have become a serious medical challenge in modern society, including Parkinson's disease, Alzheimer's disease, brain tumors, and multiple sclerosis. The CNS MPO (Multi-Parameter Optimization) score is a widely recognized algorithm in medicinal chemistry. Developed by Pfizer, this method is based on an analysis of approved CNS drugs and their interior CNS drug candidates, establishing the CNS MPO rules. It incorporates six key physicochemical properties (ClogP, ClogD, MW, TPSA, HBD, and pKa) to prospectively optimize CNS drug attributes—such as high blood-brain barrier (BBB) permeability, low P-gp efflux liability, low metabolic clearance, and high safety—thereby improving the clinical success rate of CNS drug candidates. The CNS MPO compound library is a collection of compounds with CNS MPO scores greater than 5, specifically designed for CNS drug discovery.
  • HY-L0107V
    13,236 compounds
    Natural products are small molecules produced naturally by any organism including primary and secondary metabolites. Nowadays, new drugs based on Natural products are successfully applied to treat tumors, viral and bacterial diseases, and nervous disorders. In response to the current drug discovery demand, we created this natural product-like compound library with 13,236 in-stock synthetic compounds similar to natural ones. The library was designed by 2D fingerprint similarity filtering, chemical descriptor-based and natural-likeness scoring selection. These compounds are useful tools for high throughput screening (HTS) and high content screening (HCS) programs.
  • HY-L0122V
    1,122 compounds
    Several CNS multi-parameter scoring approaches have been reported: CNS-MPO, CNS-MPO V.2, CNS-TEMPO, which suggesting an algorithm to predict CNS-ike properties of new chemical entities. We have applied these scoring algorithms to select macrocycles satisfying multiple cut-offs and structural desirability criteria. The resulting set consists of 1,122 macrocyclic compounds with CNS-MPO > 4, CNS-MPO.v2 > 4, and CNS-TEMPO < 4 for CNS-related drug discovery and research.
  • HY-L0121V
    10,000 compounds

    Natural products are an attractive source with varied structures that exhibit potent biological activities, and desirable pharmacological profiles. The core scaffold of a natural product can also provide a biologically validated framework upon which to display diverse functional groups. Inspired by bioactive natural products, natural product-like compounds, occupying the same chemical space, are ideally suited to explore and to facilitate understanding of biological pathways.

    MCE 10K Natural Product-like Compound Library consists of 10,000 natural product-like compounds. Each compound has scaffold of natural products or Tanimoto coefficient >0.6 with natural products. The natural-likeness scoring of these compounds is >-2. What’s more, compounds in the library are drug-like and readily available for re-supply, making it a powerful tool for new drug research and development. It can be widely applied in high-throughput screening (HTS) and high-content screening (HCS).

  • HY-L905
    4,926 compounds

    Natural products are an attractive source with varied structures that exhibit potent biological activities, and desirable pharmacological profiles. The core scaffold of a natural product can also provide a biologically validated framework upon which to display diverse functional groups. Inspired by bioactive natural products, natural product-like compounds, occupying the same chemical space, are ideally suited to explore and to facilitate understanding of biological pathways.

    MCE 5K Natural Product-like Compound Library consists of 5,000 natural product-like compounds. Each compound has scaffold of natural products or Tanimoto coefficient >0.6 with natural products. The natural-likeness scoring of these compounds is >-2. What’s more, compounds in the library are drug-like and readily available for re-supply, making it a powerful tool for new drug research and development. It can be widely applied in high-throughput screening (HTS) and high-content screening (HCS).

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