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Updated: Oct 2, 2025

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Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
Published on: November 15, 2017
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Target 2035 - update on the quest for a probe for every protein
Susanne Müller1,2, Suzanne Ackloo3, Arij Al Chawaf4
1Institute of Pharmaceutical Chemistry, Goethe University Frankfurt Frankfurt 60438 Germany.
RSC Medicinal Chemistry
|February 25, 2022
Summary
Understanding the human proteome is crucial for medicine. A new initiative, Target 2035, aims to characterize all human proteins and develop targeted drugs by 2035.
Area of Science:
- Biochemistry
- Genomics
- Drug Discovery
Background:
- Despite advances in genomics, human proteome knowledge remains fragmented, hindering drug development.
- Proteins, not genes, drive biological functions in health and disease, necessitating a focus on proteomic understanding.
- Currently, ~35% of human proteins are uncharacterized, and less than 5% are drug targets, revealing a significant knowledge gap.
Discussion:
- The disconnect between genomic data and effective medicine development stems from incomplete proteomic characterization.
- Target 2035 addresses this gap by fostering international collaboration between public and private biomedical scientists.
- The initiative focuses on developing novel technologies for comprehensive proteome analysis and drug target identification.
Key Insights:
- Proteomic research is essential for translating genomic discoveries into therapeutic interventions.
- A substantial portion of the human proteome remains unexplored, representing a major bottleneck in drug discovery.
- Target 2035 aims to create chemogenomic and chemical/biological probes for the entire human proteome.
Outlook:
- By 2035, Target 2035 seeks to provide tools for understanding and targeting all human proteins.
- This initiative promises to accelerate the development of novel medicines by enabling comprehensive proteome-wide drug discovery.
- The project's success will bridge the gap between genetic information and effective therapeutic strategies.
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