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 Experiment Videos

Functional genomics and NMR spectroscopy.

Robert Powers1

  • 1Department of Chemistry, University of Nebraska-Lincoln, Lincoln, NE 68522, USA. rpowers3@unl.edu

Combinatorial Chemistry & High Throughput Screening
|November 30, 2007
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

High-Throughput LC-MS/MS Quantification of Eighteen Cannabinoids in Hemp Flowers with Baseline Separation of Structural Isomers.

Molecules (Basel, Switzerland)·2026
Same author

Procedural Rigor and Reproducibility in NMR Metabolomics: Community Practices and Challenges.

Critical reviews in analytical chemistry·2026
Same author

Dynamic Shifts in ER-Plasma Membrane Junctions Signaling Define Pro-Metastatic N-Glycosylation and Predict Prostate Cancer Progression.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Securing the Future of NMR Metabolomics Reproducibility: A Call for Standardized Reporting.

Analytical chemistry·2025
Same author

Protocols for Metabolomic Analyses to Assess Changes in Central Carbon Metabolism from Neural Tissue.

Methods in molecular biology (Clifton, N.J.)·2025
Same author

Identification of Potential Prophylactic Medical Countermeasures Against Acute Radiation Syndrome (ARS).

International journal of molecular sciences·2025
Same journal

Exploring Spectral Graph Theory in Combinatorial Chemistry.

Combinatorial chemistry & high throughput screening·2026
Same journal

Unveiling the Cellular and Molecular Insights into Ulcerative Colitis Pathogenesis through Integrative Multi-omics and Functional Experiments.

Combinatorial chemistry & high throughput screening·2026
Same journal

Integrated Multi-Omics Identification of Novel Diagnostic Biomarkers and Immunometabolic Therapeutic Targets in Osteoporosis via Machine Learning.

Combinatorial chemistry & high throughput screening·2026
Same journal

Exploration and Prospects of Core Research Hotspots in the Mechanisms of Traditional Chinese Medicine for Treating Digestive System Malignancies Based on Bibliometrics.

Combinatorial chemistry & high throughput screening·2026
Same journal

Investigating the Potential Pharmacological Mechanisms of Huangqi in Allergic Rhinitis Using Network Pharmacology and Molecular Docking Strategies.

Combinatorial chemistry & high throughput screening·2026
Same journal

DNMT3A-driven Clonal Expansion of Hematopoiesis Influences Autoimmunity Mediated by Distinct Immune Cell Populations: A Mendelian Randomization Study.

Combinatorial chemistry & high throughput screening·2026
See all related articles

Functional genomics uses high-throughput methods to understand protein functions, with nuclear magnetic resonance spectroscopy aiding in analyzing protein structures and identifying chemical probes for biological research.

Area of Science:

  • Genomics and Proteomics
  • Structural Biology
  • Metabolomics

Background:

  • The human genome project and DNA sequencing advancements provide vast biological data.
  • A significant portion of proteomes consists of hypothetical proteins with unknown functions.
  • Genome-wide functional annotation is crucial for understanding biological systems.

Purpose of the Study:

  • To highlight the role of functional genomics in addressing the challenge of unknown protein functions.
  • To emphasize the contribution of nuclear magnetic resonance spectroscopy in functional genomics.

Main Methods:

  • High-throughput approaches for genome-wide functional annotation.
  • Nuclear magnetic resonance (NMR) spectroscopy for structural and functional analysis.

Related Experiment Videos

  • Metabolite fingerprinting, profiling, and metabolome analysis.
  • Ligand affinity screening for chemical probe identification.

    • Main Results:

    • NMR spectroscopy provides insights into protein and protein-ligand complex structures.
    • NMR aids in metabolite fingerprinting and profiling for metabolome analysis.
    • Ligand affinity screens using NMR can identify potential chemical probes.

    Conclusions:

    • Functional genomics is essential for annotating proteins of unknown function.
    • Nuclear magnetic resonance spectroscopy is a valuable tool in functional genomics, aiding in structural determination and the identification of chemical probes.