Evidence map›Paper›PMID 26426014›Full record

ReviewInternational journal of molecular sciences2015

An Overview of Predictors for Intrinsically Disordered Proteins over 2010-2014.

Jianzong Li, Yu Feng, Xiaoyun Wang, Jing Li, Wen Liu, Li Rong, Jinku Bao

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

22 citing papers in PubMed, 42 citations in OpenAlex.

  1. Review
  2. Review
  3. Computational prediction of disordered binding regions.Computational and structural biotechnology journal · 2023
    Review
  4. Article
  5. Article
  6. Review
  7. Deep learning in prediction of intrinsic disorder in proteins.Computational and structural biotechnology journal · 2022
    Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
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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

7 authors at 2 institutions in 1 country.

Jianzong LiCollege of Life Sciences & Key Laboratory of Ministry of Education for Bio-Resources and Bio-Environment, Sichuan University, Chengdu 610064, China. lijianzong@hotmail.com.
Yu FengCollege of Life Sciences & Key Laboratory of Ministry of Education for Bio-Resources and Bio-Environment, Sichuan University, Chengdu 610064, China. dorisfeng2@sina.com.
Xiaoyun WangCollege of Life Sciences & Key Laboratory of Ministry of Education for Bio-Resources and Bio-Environment, Sichuan University, Chengdu 610064, China. wxyun08109@163.com.
Jing LiCollege of Life Sciences & Key Laboratory of Ministry of Education for Bio-Resources and Bio-Environment, Sichuan University, Chengdu 610064, China. lijianzong@hotmail.com.
Wen LiuCollege of Life Sciences & Key Laboratory of Ministry of Education for Bio-Resources and Bio-Environment, Sichuan University, Chengdu 610064, China. cindylwen@163.com.
Li RongCollege of Life Sciences & Key Laboratory of Ministry of Education for Bio-Resources and Bio-Environment, Sichuan University, Chengdu 610064, China. rongronglili2014@163.com.
Jinku BaoCollege of Life Sciences & Key Laboratory of Ministry of Education for Bio-Resources and Bio-Environment, Sichuan University, Chengdu 610064, China. baojinku@scu.edu.cn.
Sichuan University · CNState Key Laboratory of Oral Diseases

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The sequence-structure-function paradigm of proteins has been changed by the occurrence of intrinsically disordered proteins (IDPs). Benefiting from the structural disorder, IDPs are of particular importance in biological processes like regulation and signaling. IDPs are associated with human diseases, including cancer, cardiovascular disease, neurodegenerative diseases, amyloidoses, and several other maladies. IDPs attract a high level of interest and a substantial effort has been made to develop experimental and computational methods. So far, more than 70 prediction tools have been developed since 1997, within which 17 predictors were created in the last five years. Here, we presented an overview of IDPs predictors developed during 2010-2014. We analyzed the algorithms used for IDPs prediction by these tools and we also discussed the basic concept of various prediction methods for IDPs. The comparison of prediction performance among these tools is discussed as well.

Indexed as

AnimalsCalcineurinHumansIntrinsically Disordered ProteinsCalcineurinIntrinsically Disordered Proteinscomputational methodsintrinsically disordered proteinspredictor

Identifiers

PMID26426014
PMCPMC4632708
OpenAlexW2120767856

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.