Drug Target Analysis - Panome Bio

Drug Target Analysis with Next-Generation
Metabolomics™ and Proteomics

With Panome Bio’s proprietary computational methods and cutting-edge proteomics capabilities, discover biomarkers of target and off-target drug effects. With multi-omic analysis, discover metabolic alterations and identify potential target molecules that play critical roles in disease pathways.

Small molecules often interact with more than one protein leading to unwanted off-target effects. Using dose-response
metabolomics and proteomics, samples can be evaluated for interaction with multiple proteins at various concentrations.

Identify Metabolic Signatures
Identify Metabolic Signatures
By comparing the metabolic profiles of healthy and diseased individuals, metabolomics can identify metabolites or metabolic pathways that are dysregulated in disease states or affected by drug interventions.
Drug Target Mechanism Insights
Drug Target Mechanism Insights
Unravel the complex network of molecular interactions influenced by drug targets by integrating multi-omic data. Enhance your understanding of target functionality, pathway cross-talk and potential off-target effects.
Understand Protein Functions and Interactions
Understand Protein Functions and Interactions
Protein function and interaction networks are crucial in revealing potential drug targets. Proteomics facilitates the mapping of these networks.
Druggability Assessment
Druggability Assessment
Examine pathways affected by target modulation and evaluate the impact of target behavior on cellular metabolism. Identify alternative metabolic routes that cancer cells or pathogens may adopt as mechanisms.
Drug Target Validation
Drug Target Validation
Integration of metabolomic and proteomic data allows for validation biochemical targets. Correlative data provides valuable information into the drug’s specificity.
Refine Drug Development
Refine Drug Development
By understanding the effects of a drug on both proteins and metabolites, researchers can fine-tune drug design to improve efficacy and reduce side effects.

case study

Metabolomics

An example of a dose-response study – Drug X binds target 1 with high affinity while it binds target 2 with low affinity. Off-target effects occur at target 2 at high concentrations of drug.

Read more about the topic: Yao et al., Anal Chem. 2020. Jan 21; 92(2): 1856-1864.

Next-Generation Metabolomics can deconvolute large data sets common in dose-response studies. A heat map can be used to depict dose-response trends. In this example, >1000 features were identified to have significant responses to increase in dosage.Click here to read our app note on Drug-Target Mapping with Dose-Response Metabolomics!

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