Why study proteins?

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Proteins represent the most important class of biomolecules in the context of understanding real-time human biology and should be at the center of the development of new, more efficient therapies that can be tailored towards individuals.

Important features of proteins

  1. The executors of most biological processes (e.g. enzymes, cytokines, transcription factors).
  2. Dynamic indicators of phenotype in health and disease.
  3. Provide the most actionable targets for therapeutic interventions (proteins are the targets of most current drugs).

The molecules of life

In the central dogma, it is proteins that lie closest to biological outcomes, representing the individual phenotype and the impact from environmental and lifestyle factors. This is crucial for medical research, where the majority of diseases are complex and multi-factorial (and frequently heterogeneous), with contributions from genetics, environment and lifestyle choices. It has been a strong unmet need to move towards proteins, which represent real-time biology, as they are dynamic and actionable targets in both health and disease.

The-molecules-of-life

Profile and actionability for analysis at the DNA, RNA or protein level in precision medicine applications.

Applications for protein research

With their unique proximity to phenotype and pathophysiology, protein biomarkers have crucial and wide-ranging applications across biological research, clinical care and drug development.

 

 

Key applications for protein biomarkers

Infographic-Precision medicine 2022 thumb

Advance precision medicine with next-generation proteomics

“Proteomics guarantees more robust drug targets, increasing the chance of identifying drug target candidates 4x more than traditional methods”

Hear from industry experts on how proteomics is changing the way we develop new drugs and study disease.

The power of proteomics in multiomic studies

Download the eBook, ‘Proteomics at the heart of multiomic studies’ to learn more about how this trend is the next step in advancing precision medicine.

Proteomics in multiomic strategies

2947

Biomarker assays

~881 million

Protein data points generated

997

Publications listed on website

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