Evidence map›Paper›PMID 11125092›Full record

ArticleNucleic acids research2001

Kabat Database and its applications: future directions.

G Johnson, T T Wu

Abstract read
In one paragraph

Article in Nucleic acids research, 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Evolution ofInternational journal of molecular sciences · 2020
    Review
  6. eLife · 2018
    Article
  7. AbDb: antibody structure database-a database of PDB-derived antibody structures.Database : the journal of biological databases and curation · 2018
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. SAbDab: the structural antibody database.Nucleic acids research · 2014
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

G JohnsonDepartments of Biochemistry, Molecular Biology and Cell Biology, and Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA. johnson@immuno.bme.nwu.edu
T T Wu

Funding

SEQUENCES OF PROTEINS OF IMMUNOLOGICAL INTERESTR24AI025616 · NIAID · NORTHWESTERN UNIVERSITY · PI WU, TAI T · 1998 to 2000
$192k
NIAID NIH HHS 5 R24 AI25616-11
6 · The paper itself

Abstract

The Kabat Database was initially started in 1970 to determine the combining site of antibodies based on the available amino acid sequences. The precise delineation of complementarity determining regions (CDR) of both light and heavy chains provides the first example of how properly aligned sequences can be used to derive structural and functional information of biological macromolecules. This knowledge has subsequently been applied to the construction of artificial antibodies with prescribed specificities, and to many other studies. The Kabat database now includes nucleotide sequences, sequences of T cell receptors for antigens (TCR), major histocompatibility complex (MHC) class I and II molecules, and other proteins of immunological interest. While new sequences are continually added into this database, we have undertaken the task of developing more analytical methods to study the information content of this collection of aligned sequences. New examples of analysis will be illustrated on a yearly basis. The Kabat Database and its applications are freely available at http://immuno.bme.nwu.edu.

Indexed as

Databases, FactualAnimalsAntibodiesBinding Sites, AntibodyComplementarity Determining RegionsEpitopesHumansInternetAntibodiesComplementarity Determining RegionsEpitopes

Identifiers

PMID11125092
PMCPMC29771

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.