Evidence map›Paper›PMID 23275803›Full record

ArticleWorld journal of biological chemistry2012

Frontier of therapeutic antibody discovery: The challenges and how to face them.

Zhi-Jian Lu, Su-Jun Deng, Da-Gang Huang, Yun He, Ming Lei, Li Zhou, Pei Jin

Open access · hybridAbstract read
In one paragraph

Article in World journal of biological chemistry, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.2field-weighted citation impact, top 9% 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

18 citing papers in PubMed, 29 citations in OpenAlex.

  1. Multiobjective VScience advances · 2026
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  17. Antibody Drug Conjugate bioinformatics: drug delivery through the letterbox.Computational and mathematical methods in medicine · 2013
    Article
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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

7 authors at 1 institution in 1 country.

Zhi-Jian LuZhi-Jian Lu, Su-Jun Deng, Da-Gang Huang, Yun He, China Novartis Institutes for Biomedical Research, Zhangjiang Hi-Tech Park, Shanghai 201203, China.
Su-Jun Deng
Da-Gang Huang
Yun He
Ming Lei
Li Zhou
Pei Jin
Novartis (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Therapeutic monoclonal antibodies have become an important class of modern medicines. The established technologies for therapeutic antibody discovery such as humanization of mouse antibodies, phage display of human antibody libraries and transgenic animals harboring human IgG genes have been practiced successfully so far, and many incremental improvements are being made constantly. These methodologies are responsible for currently marketed therapeutic antibodies and for the biopharma industry pipeline which are concentrated on only a few dozen targets. A key challenge for wider application of biotherapeutic approaches is the paucity of truly validated targets for biotherapeutic intervention. The efforts to expand the target space include taking the pathway approach to study the disease correlation. Since many new targets are multi-spanning and multimeric membrane proteins there is a need to develop more effective methods to generate antibodies against these difficult targets. The pharmaceutical properties of therapeutic antibodies are an active area for study concentrating on biophysical characteristics such as thermal stability and aggregation propensity. The immunogenicity of biotherapeutics in humans is a very complex issue and there are no truly predictive animal models to rely on. The in silico and T-cell response approaches identify the potential for immunogenicity; however, one needs contingency plans for emergence of anti-product antibody response for clinical trials.

Indexed as

AntibodyBiophysical propertyBiotherapeuticsBispecificHumanizationImmunogenicityPhage displayTransgenic rodentYeast

Identifiers

PMID23275803
PMCPMC3531614
OpenAlexW2045600972

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.