Evidence map›Paper›PMID 24203321›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2014

DisMeta: a meta server for construct design and optimization.

Yuanpeng Janet Huang, Thomas B Acton, Gaetano T Montelione

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Deep learning in prediction of intrinsic disorder in proteins.Computational and structural biotechnology journal · 2022
    Review
  11. Article
  12. Review
  13. Review
  14. DISOselect: Disorder predictor selection at the protein level.Protein science : a publication of the Protein Society · 2020
    Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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.

Yuanpeng Janet HuangCenter for Advanced Biotechnology and Medicine, Northeast Structural Genomics Consortium, Rutgers University, Piscataway, NJ, USA.
Thomas B Acton
Gaetano T Montelione

Funding

Sub-project 9U54GM074958 · NIGMS · RUTGERS THE ST UNIV OF NJ NEW BRUNSWICK · PI MONTELIONE, GAETANO T · 2005 to 2009
$56.6M
University of Georgia ProjectU54GM094597 · NIGMS · RUTGERS, THE STATE UNIV OF N.J. · PI MONTELIONE, GAETANO T · 2010 to 2014
$36.9M
NIGMS NIH HHS U54 GM074958NIGMS NIH HHS U54-GM074958NIGMS NIH HHS U54 GM094597
6 · The paper itself

Abstract

Intrinsically disordered or unstructured regions in proteins are both common and biologically important, particularly in regulation, signaling, and modulating intermolecular recognition processes. From a practical point of view, however, such disordered regions often can pose significant challenges for crystallization. Disordered regions are also detrimental to NMR spectral quality, complicating the analysis of resonance assignments and three-dimensional protein structures by NMR methods. The DisMeta Server has been used by Northeastern Structural Genomics (NESG) consortium as a primary tool for construct design and optimization in preparing samples for both NMR and crystallization studies. It is a meta-server that generates a consensus analysis of eight different sequence-based disorder predictors to identify regions that are likely to be disordered. DisMeta also identifies predicted secretion signal peptides, transmembrane segments, and low-complexity regions. Identification of disordered regions, by either experimental or computational methods, is an important step in the NESG structure production pipeline, allowing the rational design of protein constructs that have improved expression and solubility, improved crystallization, and better quality NMR spectra.

Indexed as

SoftwareComputational BiologyConsensus SequenceDatabases, ProteinIntrinsically Disordered ProteinsOnline SystemsProtein ConformationProtein Interaction Domains and MotifsProtein Sorting SignalsIntrinsically Disordered ProteinsProtein Sorting Signals

Identifiers

PMID24203321
PMCPMC4115584

What OpenQuestion holds

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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.