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

TTD: Therapeutic Target Database.

X Chen1, Z L Ji, Y Z Chen

  • 1Department of Computational Science, National University of Singapore, Blk S17, Level 7, 3 Science Drive 2, 117543 Singapore.

Nucleic Acids Research
|December 26, 2001
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

Very low rates of hip fracture in Beijing, People's Republic of China the Beijing Osteoporosis Project.

American journal of epidemiology·1996
Same author

A transcriptional partner for MAD proteins in TGF-beta signalling.

Nature·1996
Same author

A hierarchical network of interreceptor interactions determines signal transduction by Neu differentiation factor/neuregulin and epidermal growth factor.

Molecular and cellular biology·1996
Same author

p53 levels, functional domains, and DNA damage determine the extent of the apoptotic response of tumor cells.

Genes & development·1996
Same author

A comprehensive large-insert yeast artificial chromosome library for physical mapping of the mouse genome.

Mammalian genome : official journal of the International Mammalian Genome Society·1996
Same author

Phospholipase A2 engineering. Deletion of the C-terminus segment changes substrate specificity and uncouples calcium and substrate binding at the zwitterionic interface.

Biochemistry·1996
Same journal

Correction to 'New origin firing is inhibited by APC/CCdh1 activation in S-phase after severe replication stress'.

Nucleic acids research·2026
Same journal

VeloRM: disentangling pre- and post-splicing RNA modification dynamics at single-cell resolution.

Nucleic acids research·2026
Same journal

Accessibility of telomeric overhangs to stabilizing small-molecule ligands.

Nucleic acids research·2026
Same journal

Multivalent interactions mediate SNAIL transcription factor stimulation of the nucleosome deacetylase activity of the CoREST complex.

Nucleic acids research·2026
Same journal

Genome-wide mapping of DNA G-quadruplexes in Trypanosoma brucei chromatin reveals enrichment in coding regions and transcription start sites.

Nucleic acids research·2026
Same journal

Correction to 'The Gene Ontology knowledgebase in 2026'.

Nucleic acids research·2026
See all related articles

The Therapeutic Target Database (TTD) offers a centralized resource for biomedical researchers, detailing therapeutic protein and nucleic acid targets, associated diseases, and drugs. This database aids drug discovery and bioinformatics by consolidating essential target information.

Area of Science:

  • Biomedical Research
  • Pharmaceutical Sciences
  • Bioinformatics

Background:

  • Proteins and nucleic acids are key therapeutic targets in biomedical and pharmaceutical research.
  • Development of bioinformatics, molecular modeling, and drug design tools relies on comprehensive target information.

Purpose of the Study:

  • To introduce the Therapeutic Target Database (TTD) as a publicly accessible resource.
  • To provide detailed information on therapeutic targets, diseases, pathways, and drugs/ligands.

Main Methods:

  • Compiling data on therapeutic protein and nucleic acid targets from scientific literature.
  • Integrating information on targeted diseases, pathway involvement, and associated drugs/ligands.
  • Establishing cross-links to other databases for comprehensive data retrieval.

Related Experiment Videos

Main Results:

  • The TTD contains 433 targets, 125 disease conditions, and 809 drugs/ligands.
  • Information is accessible via target name, disease, drug name, function, and therapeutic classification.
  • Cross-links facilitate access to sequence, structure, function, and literature data.

Conclusions:

  • The TTD serves as a valuable, centralized resource for researchers in drug discovery and bioinformatics.
  • Facilitates access to crucial data for understanding therapeutic targets and developing new drugs.
  • Enhances research efficiency by consolidating information and providing cross-database links.