Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
Synthetic Biology02:55

Synthetic Biology

Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
Golden rice is a genetically modified...
Overview of Metabolism01:40

Overview of Metabolism

Living cells constantly carry out various chemical reactions which are necessary for their proper functioning. These reactions are interlinked to one another via multiple pathways. The collection of these chemical reactions is known as metabolism.
Plant Metabolism
Sunlight, the primary source of energy in plants, is first absorbed by the chlorophyll pigments present in their leaves. Plants then use this energy to carry out photosynthesis, where water is oxidized into oxygen and carbon dioxide...
Microbial Phylogeny01:28

Microbial Phylogeny

Understanding the evolutionary relationships among microorganisms is fundamental to microbial ecology and taxonomy. Phylogenetic trees are essential tools for inferring these relationships, relying primarily on comparative analyses of molecular sequences such as DNA, RNA, or proteins. In microbial studies, these trees typically depict the evolutionary paths of diverse bacterial and archaeal species by mapping genetic differences accumulated over time.Phylogenetic trees are composed of tips,...
Introduction to Metabolism01:30

Introduction to Metabolism

Metabolism encompasses all biochemical reactions in a living organism, facilitating both the breakdown and synthesis of biomolecules. These metabolic processes are categorized into catabolic and anabolic pathways, which operate in a coordinated manner to ensure energy balance and cellular function.Catabolic Pathways and Energy ReleaseCatabolic pathways involve the breakdown of complex macromolecules such as carbohydrates, lipids, and proteins into smaller structures like monosaccharides, fatty...
Chemistry of Carbohydrates03:25

Chemistry of Carbohydrates

Carbohydrates are an essential part of the diet in humans and animals. Grains, fruits, and vegetables are natural sources of carbohydrates that provide energy to the body, particularly through glucose, a simple sugar that is a component of starch and an ingredient in many staple foods. The stoichiometric formula (CH2O)n, where n is the number of carbons in the molecule represents carbohydrates. In other words, the ratio of carbon to hydrogen to oxygen is 1:2:1 in carbohydrate molecules. This...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Optimization of first-line treatment selection in advanced pancreatic adenocarcinoma using artificial intelligence.

NPJ precision oncology·2026
Same author

Bridging oxidative post-translational modifications to biological meaning.

Trends in cell biology·2026
Same author

An in-depth analysis of the molecular changes induced by short-term calorie restriction before living kidney donation.

npj aging·2026
Same author

Gemcitabine and nab-paclitaxel with or without the VDR agonist paricalcitol for metastatic pancreatic cancer: a randomized, multiarm, run-in phase trial.

Nature cancer·2026
Same author

Dendritic cell redundancy enables priming of anti-tumor CD4<sup>+</sup> T cells in pancreatic cancer.

Cancer cell·2026
Same author

Cell-free chromatin epigenomic profiling enables non-invasive pancreatic cancer cell-state identification.

medRxiv : the preprint server for health sciences·2026

Related Experiment Video

Updated: Jul 4, 2026

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
07:28

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

Published on: October 19, 2021

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
PubMed
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.

Keywords:
AIchemical proteomicsdrug discoverymulti-omics

More Related Videos

CorrelationCalculator and Filigree: Tools for Data-Driven Network Analysis of Metabolomics Data
07:11

CorrelationCalculator and Filigree: Tools for Data-Driven Network Analysis of Metabolomics Data

Published on: November 10, 2023

Visualizing Lignification Dynamics in Plants with Click Chemistry: Dual Labeling is BLISS!
10:40

Visualizing Lignification Dynamics in Plants with Click Chemistry: Dual Labeling is BLISS!

Published on: January 26, 2018

Related Experiment Videos

Last Updated: Jul 4, 2026

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
07:28

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

Published on: October 19, 2021

CorrelationCalculator and Filigree: Tools for Data-Driven Network Analysis of Metabolomics Data
07:11

CorrelationCalculator and Filigree: Tools for Data-Driven Network Analysis of Metabolomics Data

Published on: November 10, 2023

Visualizing Lignification Dynamics in Plants with Click Chemistry: Dual Labeling is BLISS!
10:40

Visualizing Lignification Dynamics in Plants with Click Chemistry: Dual Labeling is BLISS!

Published on: January 26, 2018

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.