Evidence map›Paper›PMID 31544877›Full record

ArticleAntibodies (Basel, Switzerland)2018

Molecular Recognition between Aβ-Specific Single-Domain Antibody and Aβ Misfolded Aggregates.

Mingzhen Zhang, Jie Zheng, Ruth Nussinov, Buyong Ma

Open access · goldAbstract read
In one paragraph

Article in Antibodies (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. 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

4 authors at 3 institutions in 2 countries.

Mingzhen ZhangDepartment of Chemical & Biomolecular Engineering, the University of Akron, Akron, OH 44325, USA. mingzhen.zhang@nih.gov.
Jie ZhengDepartment of Chemical & Biomolecular Engineering, the University of Akron, Akron, OH 44325, USA. zhengj@uakron.edu.
Ruth NussinovLeidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD 21702, USA. nussinor@mail.nih.gov.
Buyong MaLeidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD 21702, USA. mabuyong@mail.nih.gov.
University of Akron · USFrederick National Laboratory for Cancer Research · USTel Aviv University · IL

Funding

National Science Foundation CBET-1510099NIH HHS HHSN261200800001E
6 · The paper itself

Abstract

Aβ is the toxic amyloid polypeptide responsible for Alzheimer's disease (AD). Prevention and elimination of the Aβ misfolded aggregates are the promising therapeutic strategies for the AD treatments. Gammabody, the Aβ-Specific Single-domain (VH) antibody, recognizes Aβ aggregates with high affinity and specificity and reduces their toxicities. Employing the molecular dynamics simulations, we studied diverse gammabody-Aβ recognition complexes to get insights into their structural and dynamic properties and gammabody-Aβ recognitions. Among many heterogeneous binding modes, we focused on two gammabody-Aβ recognition scenarios: recognition through Aβ β-sheet backbone and on sidechain surface. We found that the gammabody primarily uses the complementarity-determining region 3 (CDR3) loop with the grafted Aβ sequence to interact with the Aβ fibril, while CDR1/CDR2 loops have very little contact. The gammabody-Aβ complexes with backbone binding mode are more stable, explaining the gammabody's specificity towards the C-terminal Aβ sequence.

Indexed as

Alzheimer’s diseaseamyloid antibodyantibody recognitionAβ peptidesingle-domain antibodies

Identifiers

PMID31544877
PMCPMC6640678
OpenAlexW2883685245

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.