Evidence map›Paper›PMID 23863097›Full record

ReviewCurrent drug discovery technologies2014

Discovery of novel candidate therapeutics and diagnostics based on engineered human antibody domains.

Weizao Chen, Rui Gong, Tianlei Ying, Ponraj Prabakaran, Zhongyu Zhu, Yang Feng, Dimiter S Dimitrov

Abstract readReview
In one paragraph

Review in Current drug discovery technologies, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. The reduced form of the antibody CH2 domain.Protein science : a publication of the Protein Society · 2021
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. 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

7 authors.

Weizao Chen
Rui Gong
Tianlei Ying
Ponraj Prabakaran
Zhongyu Zhu
Yang Feng
Dimiter S DimitrovMiller Drive, Building 469, Room 150B, Frederick, MD 21702-1201, USA. chenw3@mail.nih.gov.

Funding

Human Monoclonal Antibodies Against CancerZIABC010701 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI DIMITROV, DIMITER S · 2009 to 2017
$6.9M
Human Monoclonal Antibodies and Antibody-Guided NanoparticlesZ01BC010701 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI DIMITROV, DIMITER S · 2006 to 2008
$2.6M
Viral Envelope Glycoprotein Interactions with ReceptorsZ01BC010257 · BC · BASIC SCIENCES · PI DIMITROV, DIMTER S. · 1996 to 2005
–
Intramural NIH HHS Z01 BC010257Intramural NIH HHS Z01 BC010701NCI NIH HHS N01 CO012400
6 · The paper itself

Abstract

The smallest independently folded antibody fragments, the domains, are emerging as promising scaffolds for candidate therapeutics and diagnostics that bind specifically targets of interest. The discovery of such binders is based on several technologies including structure-based design and generation of libraries of mutants displayed on phage or yeast, next-generation sequencing for diversity analysis, panning and screening of the libraries, affinity maturation of selected binders, and their expression, purification, and characterization for specific binding, function, and aggregation propensity. In this review, we describe these technologies as applied for the generation of engineered antibody domains (eAds), especially those derived from the human immunoglobulin heavy chain variable region (VH) and the second domain of IgG1 heavy chain constant region (CH2) as potential candidate therapeutics and diagnostics, and discuss examples of eAds against HIV-1 and cancer-related proteins.

Indexed as

AntibodiesImmunoglobulin Variable RegionAnimalsDrug DiscoveryHumansProtein EngineeringProtein Structure, TertiaryAntibodiesImmunoglobulin Variable Region

Identifiers

PMID23863097
PMCPMC6953427

What OpenQuestion holds

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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.