Evidence map›Paper›PMID 33291690›Full record

ArticleMolecules (Basel, Switzerland)2020

Multiple Disulfide-Bonded States of Native Proteins: Estimate of Number Using Probabilities of Disulfide Bond Formation.

Philip J Hogg

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2020. 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
0.7field-weighted citation impact, top 32% 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, 13 citations in OpenAlex.

  1. Multiple disulfide-bonded states confer extensive conformational diversity in fibrinogen.Protein science : a publication of the Protein Society · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. Illustrated State-of-the-Art Capsules of the ISTH 2020 Congress.Research and practice in thrombosis and haemostasis · 2021
    Review
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.

Philip J HoggThe Centenary Institute, Camperdown, NSW 2050, Australia.ORCID 0000-0001-6486-2863
The University of Sydney · AU

Funding

National Health and Medical Research Council 1110219National Health and Medical Research Council 1143398National Health and Medical Research Council 1143400
6 · The paper itself

Abstract

The polypeptide backbone of proteins is held together by two main types of covalent bonds: the peptide bonds that link the amino acid residues and the disulfide bonds that link pairs of cysteine amino acids. Disulfide bonds form as a protein folds in the cell and formation was assumed to be complete when the mature protein emerges. This is not the case for some secreted human blood proteins. The blood clotting protein, fibrinogen, and the protease inhibitor, α2-macroglobulin, exist in multiple disulfide-bonded or covalent states in the circulation. Thousands of different states are predicted assuming no dependencies on disulfide bond formation. In this study, probabilities for disulfide bond formation are employed to estimate numbers of covalent states of a model polypeptide with reference to α2-macroglobulin. When disulfide formation is interdependent in a protein, the number of covalent states is greatly reduced. Theoretical estimates of the number of states will aid the conceptual and experimental challenges of investigating multiple disulfide-bonded states of a protein.

Indexed as

Blood ProteinsCysteineCystineDisulfidesFibrinogenGlobulinsHumansPeptidesProbabilityProtease InhibitorsProtein ConformationProtein FoldingBlood ProteinsCysteineCystineDisulfidesFibrinogenGlobulinsPeptidesProtease Inhibitorsallostericcysteinecystinedisulfide bondprobability

Identifiers

PMID33291690
PMCPMC7730261
OpenAlexW3109349625

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.