Evidence map›Paper›PMID 35622602›Full record

ArticleToxins2022

Structural Features of

Kyle S Gregory, Tejaswini B Mahadeva, Sai Man Liu, K Ravi Acharya

Open access · goldAbstract read
In one paragraph

Article in Toxins, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Crystal Structures of theInternational journal of molecular sciences · 2022
    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

4 authors at 2 institutions in 1 country.

Kyle S GregoryDepartment of Biology and Biochemistry, University of Bath, Claverton Down, Bath BA2 7AY, UK.ORCID 0000-0001-5371-4283
Tejaswini B MahadevaDepartment of Biology and Biochemistry, University of Bath, Claverton Down, Bath BA2 7AY, UK.ORCID 0000-0001-9250-4166
Sai Man LiuProtein Sciences Department, Ipsen Bioinnovation Limited, 102 Park Drive, Milton Park, Abingdon OX14 4RY, UK.ORCID 0000-0001-6359-0229
K Ravi AcharyaDepartment of Biology and Biochemistry, University of Bath, Claverton Down, Bath BA2 7AY, UK.ORCID 0000-0002-3009-4058
University of Bath · GBIpsen (United Kingdom) · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Botulinum neurotoxins (BoNT) are a group of clostridial toxins that cause the potentially fatal neuroparalytic disease botulism. Although highly toxic, BoNTs are utilized as therapeutics to treat a range of neuromuscular conditions. Several serotypes (BoNT/A-/G, /X) have been identified with vastly differing toxicological profiles. Each serotype can be further sub-categorised into subtypes due to subtle variations in their protein sequence. These minor changes have been attributed to differences in both the duration of action and potency for BoNT/A subtypes. BoNTs are composed of three domains-a cell-binding domain, a translocation domain, and a catalytic domain. In this paper, we present the crystal structures of the botulinum neurotoxin A2 cell binding domain, both alone and in complex with its receptor ganglioside GD1a at 1.63 and 2.10 Å, respectively. The analysis of these structures reveals a potential redox-dependent Lys-O-Cys bridge close to the ganglioside binding site and a hinge motion between the H

Indexed as

Botulinum Toxins, Type ABotulismClostridiumGangliosidesHumansProtein BindingBotulinum Toxins, Type AGangliosidesbotulinum neurotoxincell-binding domaincrystal structureganglioside bindingredox switchsubtype A2

Identifiers

PMID35622602
PMCPMC9146395
OpenAlexW4280601389

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.