Evidence map›Paper›PMID 34850971›Full record

ArticleProteins2022

Scaling-up a fragment-based protein-protein interaction method using a human reference interaction set.

Stephanie Schaefer-Ramadan, Jovana Aleksic, Nayra M Al-Thani, Yasmin A Mohamoud, David E Hill, Joel A Malek

Open access · hybridAbstract read
In one paragraph

Article in Proteins, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 37% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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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

6 authors at 2 institutions in 2 countries.

Stephanie Schaefer-RamadanDepartment of Genetic Medicine, Weill Cornell Medicine in Qatar, Doha, Qatar.ORCID 0000-0001-9650-1472
Jovana AleksicDepartment of Genetic Medicine, Weill Cornell Medicine in Qatar, Doha, Qatar.
Nayra M Al-ThaniDepartment of Genetic Medicine, Weill Cornell Medicine in Qatar, Doha, Qatar.
Yasmin A MohamoudDepartment of Genetic Medicine, Weill Cornell Medicine in Qatar, Doha, Qatar.
David E HillCenter for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute (DFCI), Boston, Massachusetts, USA.
Joel A MalekDepartment of Genetic Medicine, Weill Cornell Medicine in Qatar, Doha, Qatar.ORCID 0000-0002-1516-8477
Weill Cornell Medical College in Qatar · QAHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein-protein interactions (PPIs) are essential in understanding numerous aspects of protein function. Here, we significantly scaled and modified analyses of the recently developed all-vs-all sequencing (AVA-Seq) approach using a gold-standard human protein interaction set (hsPRS-v2) containing 98 proteins. Binary interaction analyses recovered 20 of 47 (43%) binary PPIs from this positive reference set (PRS), comparing favorably with other methods. However, the increase of 20× in the interaction search space for AVA-Seq analysis in this manuscript resulted in numerous changes to the method required for future use in genome-wide interaction studies. We show that standard sequencing analysis methods must be modified to consider the possible recovery of thousands of positives among millions of tested interactions in a single sequencing run. The PRS data were used to optimize data scaling, auto-activator removal, rank interaction features (such as orientation and unique fragment pairs), and statistical cutoffs. Using these modifications to the method, AVA-Seq recovered >500 known and novel PPIs, including interactions between wild-type fragments of tumor protein p53 and minichromosome maintenance complex proteins 2 and 5 (MCM2 and MCM5) that could be of interest in human disease.

Indexed as

GenomeProteinsHumansProteins

Identifiers

PMID34850971
PMCPMC9299658
OpenAlexW3215708472

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.