Evidence map›Paper›PMID 33778000›Full record

ArticleFrontiers in molecular biosciences2020

Influence of Disease-Causing Mutations on Protein Structural Networks.

Vasam Manjveekar Prabantu, Nagarajan Naveenkumar, Narayanaswamy Srinivasan

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 pooled it
4.0field-weighted citation impact, top 5% 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

33 citing papers in PubMed, 2 syntheses or guidelines pooled it, 72 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Mammalian evolution and human mutation burden in Rab GTPases.Biochemistry and biophysics reports · 2026
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  8. Novel mutation sites in theJournal of advanced veterinary and animal research · 2025
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  9. Article
  10. Review
  11. Article
  12. Review
  13. Revealing SARS-CoV-2 MComputational and structural biotechnology journal · 2024
    Article
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  15. Article
  16. Review
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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

3 authors at 2 institutions in 1 country.

Vasam Manjveekar PrabantuMolecular Biophysics Unit, Indian Institute of Science, Bangalore, India.
Nagarajan NaveenkumarMolecular Biophysics Unit, Indian Institute of Science, Bangalore, India.
Narayanaswamy SrinivasanMolecular Biophysics Unit, Indian Institute of Science, Bangalore, India.
Indian Institute of Science Bangalore · INNational Centre for Biological Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The interactions between residues in a protein tertiary structure can be studied effectively using the approach of protein structure network (PSN). A PSN is a node-edge representation of the structure with nodes representing residues and interactions between residues represented by edges. In this study, we have employed weighted PSNs to understand the influence of disease-causing mutations on proteins of known 3D structures. We have used manually curated information on disease mutations from UniProtKB/Swiss-Prot and their corresponding protein structures of wildtype and disease variant from the protein data bank. The PSNs of the wildtype and disease-causing mutant are compared to analyse variation of global and local dissimilarity in the overall network and at specific sites. We study how a mutation at a given site can affect the structural network at a distant site which may be involved in the function of the protein. We have discussed specific examples of the disease cases where the protein structure undergoes limited structural divergence in their backbone but have large dissimilarity in their all atom networks and vice versa, wherein large conformational alterations are observed while retaining overall network. We analyse the effect of variation of network parameters that characterize alteration of function or stability.

Indexed as

allosterydisease-causing mutationsnetwork variabilityprotein functionprotein structure networks

Identifiers

PMID33778000
PMCPMC7987782
OpenAlexW3133640664

What OpenQuestion holds

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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.