Evidence map›Paper›PMID 7944331›Full record

ReviewApplied biochemistry and biotechnology

From esoteric theory to therapeutic antibodies.

T T Wu

Abstract readReview
PubMed Publisher
In one paragraph

Review in Applied biochemistry and biotechnology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 86% of its field
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

1 citing paper in PubMed, 8 citations in OpenAlex.

  1. 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

1 author at 1 institution in 1 country.

T T WuDepartment of Biochemistry, Northwestern University, Evanston, IL 60208.
Applied Mathematics (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Theoretical analyses of amino acid and nucleotide sequences of immunoglobulins have provided a unique approach to the understanding of structure and function of antibodies. Variability plots unambiguously identified that the antibody-combining site is formed by six short complementarity determining regions (CDRs), three each from light and heavy chains. Since three-dimensional (3-D) foldings of framework regions (FRs) are similar among different antibodies, the 3-D configurations of CDRs from a specific antibody can be predicted based on their amino acid sequences. The resulting structure forms a compact surface that fits the antigen molecule tightly. The third CDR of the heavy chain (CDRH3), which is coded by the D-minigene together with the N- and/or P-segments, appears to play a unique role in fine fitting between antibody and antigen molecules. In order to maintain biological activities, the grafting of mouse CDRs onto human FRs should closely match the human FR amino acid sequences with the original mouse antibody. Similarities between human and mouse FR sequences that have been preserved for over 20 million years of evolution can be a useful tool in humanizing mouse antibodies.

Indexed as

AntibodiesAmino Acid SequenceAnimalsBinding Sites, AntibodyMiceMolecular Sequence DataAntibodies

Identifiers

PMID7944331
OpenAlexW2038677489

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.