Evidence map›Paper›PMID 29206185›Full record

ReviewInternational journal of molecular sciences2017

Predictive and Experimental Approaches for Elucidating Protein-Protein Interactions and Quaternary Structures.

John Oliver Nealon, Limcy Seby Philomina, Liam James McGuffin

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2017. 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

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

4 citing papers in PubMed.

  1. Regulatory Light Chains in Cardiac Development and Disease.International journal of molecular sciences · 2021
    Review
  2. Evaluation of gene expression and protein structural modeling involved in persister cell formation in Salmonella Typhimurium.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2021
    Article
  3. Article
  4. Functional Prediction and Assignment ofFrontiers in genetics · 2020
    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

3 authors.

John Oliver NealonSchool of Biological Sciences, University of Reading, Reading RG6 6AS, UK. j.o.nealon@pgr.reading.ac.uk.
Limcy Seby PhilominaSchool of Biological Sciences, University of Reading, Reading RG6 6AS, UK. l.s.philomina@pgr.reading.ac.uk.
Liam James McGuffinSchool of Biological Sciences, University of Reading, Reading RG6 6AS, UK. l.j.mcguffin@reading.ac.uk.ORCID 0000-0003-4501-4767

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The elucidation of protein-protein interactions is vital for determining the function and action of quaternary protein structures. Here, we discuss the difficulty and importance of establishing protein quaternary structure and review in vitro and in silico methods for doing so. Determining the interacting partner proteins of predicted protein structures is very time-consuming when using in vitro methods, this can be somewhat alleviated by use of predictive methods. However, developing reliably accurate predictive tools has proved to be difficult. We review the current state of the art in predictive protein interaction software and discuss the problem of scoring and therefore ranking predictions. Current community-based predictive exercises are discussed in relation to the growth of protein interaction prediction as an area within these exercises. We suggest a fusion of experimental and predictive methods that make use of sparse experimental data to determine higher resolution predicted protein interactions as being necessary to drive forward development.

Indexed as

Computational BiologyProtein Interaction MappingProteinsProtein Structure, QuaternaryProteinsdockingexperimentalhomologyinteractionpredictionproteinquality assessment

Identifiers

PMID29206185
PMCPMC5751226

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.