LXR-α Targeting Services

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LXR-α Targeting Services

LXR-α Targeting Services1

Liver X receptors (LXRs) belong to the orphan nuclear receptor family, including two homologous subtypes, LXRα (NR1H3) and LXRβ (NR1H2). LXRα is abundantly expressed in tissues closely related to lipid metabolism, and in the liver Most abundant. Inducible LXRα is highly expressed in liver, adrenal gland, intestine, adipose tissue, macrophages, lung and kidney, while LXRβ is ubiquitously expressed. Ligand-activated LXRs form obligate heterodimers with the retinoid X receptor (RXR) and regulate the expression response elements of LXR-containing target genes. Restoration of LXR-α expression/function within psoriatic lesions may contribute to the transformation of psoriatic skin to asymptomatic skin. CD ComputaBio now offers professional LXR-α targeting services to meet your research needs.

Our Services

LXR-α Targeting Services2

  • Prediction of Physical and Chemical Properties
  • To understand the functional diversity of proteins, it is first necessary to understand the physical and chemical properties of different amino acids. Target-specific property analysis provides insight into the physical and chemical properties of different amino acids, even if the properties of the protein molecule are far greater than the sum of the properties of the different constituent amino acids. much more complicated. The achievable three-dimensional structures of these linked building blocks can then be determined and the biological properties of the corresponding polymers analyzed. Our physicochemical properties analysis services include:

    • Molecular weight distribution
    • Residue number distribution
    • Isoelectric point distribution
    • TMH distribution
    • Important chemical reactions
  • Protein-Protein Interaction Network Prediction
  • Protein-protein interactions (PPIs) are critical for nearly every process in a cell, so understanding PPIs is critical to understanding cellular physiology in both normal and disease states. CD ComputaBio provides our clients with the best service for predicting protein-protein interaction networks. Our services include:

    • In Silico protein-protein interactions prediction service
    • Prediction of protein-protein interaction sites (ISPPIsSP)
  • Pharmacophore Model Construction Service
  • Pharmacophore studies the structure-activity relationship of various lead compounds of different structural types, and reflects the abstract characteristics of active ligand molecules. CD ComputaBio provides you with professional pharmacophore modeling services, including but not limited to:

    • Pharmacophore Modeling Service
    • Feasibility assessment of new drug targets.
    • Structural design-based high-throughput screening and active compound discovery.
    • Active compounds of lead compounds were discovered.
    • Lead compound optimization to identify preclinical drug candidates.
    • A structure-activity relationship study.

Our Capabilities

CD ComputaBio provides professional LXR-α targeting services to meet customers' scientific needs. CD ComputaBio relies on world-class technical expertise, we provide customers with the highest quality one-stop LXR-α targeting services, including the development of experimental procedures according to different experimental needs. Please feel free to contact us for more details and our scientists will tailor the most reasonable plan for your project.

Our Multiple Targeting Drug Design Strategies Targeting LXR-α

The advantage of multi-targeted drug design technology is to provide new ideas for new drug research and development, make full use of the structural information of known compounds, avoid the waste of research and development resources to a certain extent, and speed up the research and development of new drugs. Our multi-targeted drug design process includes:

Step 1: Cracks or voids on the protein surface are detected, encoding the geometric and physicochemical properties of the voids.

Step 2: A comparison is made to find a set of targets with similar cavity properties.

Step 3: Multi-target ligands can be designed based on a set of targets with similar cavity characteristics.

* For Research Use Only.
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