Evidence map›Paper›PMID 30934684›Full record

ArticleInternational journal of molecular sciences2019

Functional and Structural Features of Disease-Related Protein Variants.

Castrense Savojardo, Giulia Babbi, Pier Luigi Martelli, Rita Casadio

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. A Glance into MTHFR Deficiency at a Molecular Level.International journal of molecular sciences · 2021
    Article
  7. Article
  8. Article
  9. Article
  10. 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.

Castrense SavojardoBiocomputing Group, Department of Pharmacy and Biotechnology, University of Bologna, 40126 Bologna, Italy. castrense.savojardo2@unibo.it.ORCID 0000-0002-7359-0633
Giulia BabbiBiocomputing Group, Department of Pharmacy and Biotechnology, University of Bologna, 40126 Bologna, Italy. giulia.babbi3@unibo.it.
Pier Luigi MartelliBiocomputing Group, Department of Pharmacy and Biotechnology, University of Bologna, 40126 Bologna, Italy. pierluigi.martelli@unibo.it.
Rita CasadioBiocomputing Group, Department of Pharmacy and Biotechnology, University of Bologna, 40126 Bologna, Italy. rita.casadio@unibo.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Modern sequencing technologies provide an unprecedented amount of data of single-nucleotide variations occurring in coding regions and leading to changes in the expressed protein sequences. A significant fraction of these single-residue variations is linked to disease onset and collected in public databases. In recent years, many scientific studies have been focusing on the dissection of salient features of disease-related variations from different perspectives. In this work, we complement previous analyses by updating a dataset of disease-related variations occurring in proteins with 3D structure. Within this dataset, we describe functional and structural features that can be of interest for characterizing disease-related variations, including major chemico-physical properties, the strength of association to disease of variation types, their effect on protein stability, their location on the protein structure, and their distribution in Pfam structural/functional protein models. Our results support previous findings obtained in different data sets and introduce Pfam models as possible fingerprints of patterns of disease related single-nucleotide variations.

Indexed as

Databases, ProteinDiseaseHumansMutant ProteinsMutationProtein DomainsSolventsMutant ProteinsSolventsdisease-related Pfam domainsdisease-related protein variationsdisease-related reactome pathwaysgenetic variationspolar solvent accessible surfaceprotein structure

Identifiers

PMID30934684
PMCPMC6479756

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Registered trials

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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.