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Pharmacophore-based Target Identification
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Pharmacophore-based Target Identification

CD ComputaBio provides expertise in pharmacophore modeling, leveraging advanced computational tools to facilitate the process of ligand-based target identification and drug design. Our services can help streamline the drug discovery process by efficiently identifying promising drug targets and optimizing lead compounds.

Introduction of Pharmacophore-based Target Identification

Pharmacophore modeling is a ligand-based method widely used in drug target identification. This method infers possible drug targets by identifying and defining the chemical groups necessary for the active molecule and their spatial arrangement. Pharmacophore models rely on the three-dimensional structure of previously identified and studied active molecules to search for potential target molecules through computational analysis.

Fig 1. Mapping of the compound with the target candidates. Fig 1. Mapping of the compound with the target candidates. (WANG, X.; et al, 2016)

Our Services

Custom Pharmacophore Modeling

We create highly accurate pharmacophore models using your ligand data to map out essential molecular features and interactions.

Target Validation

Our experts assist in validating the identified targets to confirm their relevance and potential in therapeutic applications.

Comprehensive Reporting

Receive detailed reports and actionable insights, enabling you to make informed decisions in your projects.

Key Features of Pharmacophore Modeling

Identification of Essential Features
  • Hydrophobic centers
  • Hydrogen bond acceptors and donors
  • Aromatic rings
  • Charged groups
Ligand-Based Approach
  • Rely on the analysis of known active ligands.
  • Use information about the structure and activity relationship of these ligands.
Applications
  • Target Identification - Understand which biological targets interact with a set of ligands.
  • Drug Design - Optimize the chemical structure of new drug candidates.
  • Virtual Screening - Screen large libraries of compounds to find those that fit the pharmacophore model.
Advantages
  • No need for protein structure information, making it suitable when only ligand information is available.
  • Provide insight into the mechanism of action of ligands.

Benefits of Pharmacophore-based Target Identification

Pharmacophore modeling stands out as a robust, efficient, and versatile approach for drug target identification. Its capability to efficiently screen large chemical libraries, coupled with its predictive accuracy and adaptability, makes it a crucial tool in modern drug discovery and development. Whether for peptide drug design or small molecule discovery, pharmacophore modeling facilitates the identification and optimization of promising drug candidates, accelerating the overall drug development timeline.

  • Prediction of Binding Sites - This method predicts potential binding sites on the target protein even in the absence of structural information about the protein, relying only on ligand information.
  • Improved Selectivity and Specificity - This method can help in identifying key structural features that contribute to the selectivity and specificity of drug molecules. As a result, it can aid in designing drugs with fewer off-target effects and better therapeutic profiles.
  • Complementary to Other Methods - Pharmacophore modeling can be used in conjunction with other computational and experimental approaches, such as molecular docking and structure-based drug design, to enhance the overall drug discovery process.
  • Focus on Key Interactions - Pharmacophore modeling highlights the critical interactions between ligands and their biological targets. This enables a more focused and strategic approach to drug design, where essential pharmacophoric features are retained and optimized.

Contact Us

By leveraging pharmacophore modeling, researchers can efficiently explore vast chemical spaces and focus their experimental efforts on the most promising candidates, accelerating the drug discovery process. CD ComputaBio provides specialized services in pharmacophore modeling to support researchers and companies in this critical aspect of drug development.

Reference

  1. WANG, X.; et al. Enhancing the Enrichment of Pharmacophore-Based Target Prediction for the Polypharmacological Profiles of Drugs. Journal of chemical information and modeling. 2016, 56(6): 1175-1183.
For research use only. Not intended for any clinical use.
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CD ComputaBio offers computation-driven peptide design services to research institutions, pharmaceutical, and biotechnology companies.

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