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Biochemistry at scale: Seeing both the forest and the trees
Stefan A Harry1, Chirag Vasavda2, Adam Wahida3
1Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA; Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA.
Trends in Biochemical Sciences
|July 2, 2026
Summary
Biochemistry is adapting to complex biological processes in drug discovery by integrating multi-omics and AI. Future therapeutic development will rely on large-scale biochemical analysis for targeted treatments.
Area of Science:
- Biochemistry
- Pharmacology
- Computational Biology
Background:
- Therapeutic drug discovery integrates mechanistic biochemistry with multi-omics and artificial intelligence (AI).
- Traditional reductionist biochemistry faces challenges adapting to the increasing complexity of biological systems.
- Historical examples show biochemistry uncovering new biology in drug-targeted pathways, leading to disease treatments.
Purpose of the Study:
- To examine how biochemistry is evolving to meet the demands of modern drug discovery.
- To discuss the integration of multi-omics and AI with biochemical approaches.
- To define the future of drug discovery through scalable biochemical analysis.
Main Methods:
- Examination of historical case studies in small-molecule drug development.
- Discussion of evolving biochemical approaches like chemical proteomics.
- Analysis of integrating high-content measurements for actionable biochemical mechanisms.
Main Results:
- Biochemistry has historically driven targeted disease treatments by uncovering pathway biology.
- Chemical proteomics is emerging as a key method for mapping protein-drug interactions.
- Integrating diverse data is crucial for understanding complex biological processes.
Conclusions:
- The future of drug discovery hinges on biochemistry's ability to adapt and scale.
- Integrating high-content measurements with biochemical mechanisms is essential for effective therapy development.
- A holistic view, combining detailed mechanisms with broad biological context, is necessary.
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