Evidence map›Paper›PMID 28771374›Full record

ArticleJournal of computational biology : a journal of computational molecular cell biology2018

Initial Cluster Analysis.

Stephen F Altschul, Andrew F Neuwald

Abstract read
In one paragraph

Article in Journal of computational biology : a journal of computational molecular cell biology, 2018. 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. Identifying Function Determining Residues in Neuroimmune Semaphorin 4A.International journal of molecular sciences · 2022
    Article
  2. SPARC: Structural properties associated with residue constraints.Computational and structural biotechnology journal · 2022
    Article
  3. Article
  4. 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

2 authors.

Stephen F Altschul1 National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health , Bethesda, Maryland.
Andrew F Neuwald2 Department of Biochemistry and Molecular Biology, Institute for Genome Sciences, University of Maryland School of Medicine , Baltimore, Maryland.

Funding

Statistics of Sequence ComparisonZIALM000014 · NLM · NATIONAL LIBRARY OF MEDICINE · PI ALTSCHUL, STEPHEN F · 2009 to 2020
$3.0M
Advanced correlation analyses to infer sequence and structural determinants of protein functionR01GM125878 · NIGMS · UNIVERSITY OF MARYLAND BALTIMORE · PI NEUWALD, ANDREW F · 2018 to 2021
$1.3M
NIGMS NIH HHS R01 GM125878
6 · The paper itself

Abstract

We study a simple abstract problem motivated by a variety of applications in protein sequence analysis. Consider a string of 0s and 1s of length L, and containing D 1s. If we believe that some or all of the 1s may be clustered near the start of the sequence, which subset is the most significantly so clustered, and how significant is this clustering? We approach this question using the minimum description length principle and illustrate its application by analyzing residues that distinguish translational initiation and elongation factor guanosine triphosphatases (GTPases) from other P-loop GTPases. Within a structure of yeast elongation factor 1[Formula: see text], these residues form a significant cluster centered on a region implicated in guanine nucleotide exchange. Various biomedical questions may be cast as the abstract problem considered here.

Indexed as

Cluster AnalysisComputational BiologyGTP Phosphohydrolase-Linked Elongation FactorsSaccharomyces cerevisiae ProteinsSequence Analysis, ProteinGTP Phosphohydrolase-Linked Elongation FactorsSaccharomyces cerevisiae Proteinscluster analysisJeffreys' priorsMinimum Description Length principle

Identifiers

PMID28771374
PMCPMC5806593

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.