Evidence map›Paper›PMID 27924270›Full record

ArticleBiophysics and physicobiology2016

Structural characterization of single nucleotide variants at ligand binding sites and enzyme active sites of human proteins.

Kazunori D Yamada, Hafumi Nishi, Junichi Nakata, Kengo Kinoshita

Abstract read
In one paragraph

Article in Biophysics and physicobiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Preface of Special Issue "Protein-Ligand Interactions".Biophysics and physicobiology · 2016
    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.

Kazunori D YamadaGraduate School of Information Sciences, Tohoku University, Miyagi 980-8597, Japan.
Hafumi NishiGraduate School of Information Sciences, Tohoku University, Miyagi 980-8597, Japan.
Junichi NakataTohoku Medical Megabank Organization, Tohoku University, Miyagi 980-8573, Japan.
Kengo KinoshitaGraduate School of Information Sciences, Tohoku University, Miyagi 980-8597, Japan; Tohoku Medical Megabank Organization, Tohoku University, Miyagi 980-8573, Japan; Institute of Development, Aging, and Cancer, Tohoku University, Miyagi 980-8575, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Functional sites on proteins play an important role in various molecular interactions and reactions between proteins and other molecules. Thus, mutations in functional sites can severely affect the overall phenotype. Progress of genome sequencing projects has yielded a wealth of information on single nucleotide variants (SNVs), especially those with less than 1% minor allele frequency (rare variants). To understand the functional influence of genetic variants at a protein level, we investigated the relationship between SNVs and protein functional sites in terms of minor allele frequency and the structural position of variants. As a result, we observed that SNVs were less abundant at ligand binding sites, which is consistent with a previous study on SNVs and protein interaction sites. Additionally, we found that non-rare variants tended to be located slightly apart from enzyme active sites. Examination of non-rare variants revealed that most of the mutations resulted in moderate changes of the physico-chemical properties of amino acids, suggesting the existence of functional constraints. In conclusion, this study shows that the mapping of genetic variants on protein structures could be a powerful approach to evaluate the functional impact of rare genetic variations.

Indexed as

3D structurenon-synonymous mutationprotein-ligand interactionrare variant

Identifiers

PMID27924270
PMCPMC5042176

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.