Evidence map›Paper›PMID 30013015›Full record

ArticleInternational journal of molecular sciences2018

RFAmyloid: A Web Server for Predicting Amyloid Proteins.

Mengting Niu, Yanjuan Li, Chunyu Wang, Ke Han

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

20 citing papers in PubMed, 68 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Special Protein or RNA Molecules Computational Identification.International journal of molecular sciences · 2023
    Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Structure and Aggregation Mechanisms in Amyloids.Molecules (Basel, Switzerland) · 2020
    Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. PredAmyl-MLP: Prediction of Amyloid Proteins Using Multilayer Perceptron.Computational and mathematical methods in medicine · 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

4 authors at 3 institutions in 1 country.

Mengting NiuSchool of Information and Computer Engineering, Northeast Forestry University, Harbin 150040, China. yunzeer@gmail.com.
Yanjuan LiSchool of Information and Computer Engineering, Northeast Forestry University, Harbin 150040, China. liyanjuan@nefu.edu.cn.
Chunyu WangSchool of Computer Science and Technology, Harbin Institute of Technology, Harbin 150040, China. chunyu@hit.edu.cn.
Ke HanSchool of Computer and Information Engineering, Harbin University of Commerce, Harbin 150040, China. hanke@hrbcu.edu.cn.
Northeast Forestry University · CNHarbin Institute of Technology · CNHarbin University of Commerce · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amyloid is an insoluble fibrous protein and its mis-aggregation can lead to some diseases, such as Alzheimer's disease and Creutzfeldt⁻Jakob's disease. Therefore, the identification of amyloid is essential for the discovery and understanding of disease. We established a novel predictor called RFAmy based on random forest to identify amyloid, and it employed SVMProt 188-D feature extraction method based on protein composition and physicochemical properties and pse-in-one feature extraction method based on amino acid composition, autocorrelation pseudo acid composition, profile-based features and predicted structures features. In the ten-fold cross-validation test, RFAmy's overall accuracy was 89.19% and F-measure was 0.891. Results were obtained by comparison experiments with other feature, classifiers, and existing methods. This shows the effectiveness of RFAmy in predicting amyloid protein. The RFAmy proposed in this paper can be accessed through the URL http://server.malab.cn/RFAmyloid/.

Indexed as

AlgorithmsSupport Vector MachineAmyloidogenic ProteinsComputational BiologyDatabases, ProteinInternetReproducibility of ResultsSequence Analysis, ProteinAmyloidogenic Proteinsamyloid proteinmachine learningprotein classificationrandom forestRFAmy

Identifiers

PMID30013015
PMCPMC6073578
OpenAlexW2883577455

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.