Evidence map›Paper›PMID 35999491›Full record

ArticleBMC bioinformatics2022

Protein structure prediction based on particle swarm optimization and tabu search strategy.

Yu Shuchun, Li Xianxiang, Tian Xue, Pang Ming

Abstract read
In one paragraph

Article in BMC bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yu ShuchunChina Higher Educational Key Laboratory for Measuring and Control Technology and Instrumentation of Heilongjiang Province, Harbin University of Science and Technology, Harbin, 150080, China.
Li XianxiangChina Higher Educational Key Laboratory for Measuring and Control Technology and Instrumentation of Heilongjiang Province, Harbin University of Science and Technology, Harbin, 150080, China.
Tian XueLogistics School, Beijing Wuzi University, Beijing, 101149, China.
Pang MingCollege of Automation, Harbin Engineering University, Harbin, 150001, Heilongjiang, China. pangm@hrbeu.edu.cn.

Funding

Beijing Social Science Foundation Project 17GLB020Doctor. Scientific and Research Start-up Project of Harbin University of Commerce 2019DS031National Natural Science Foundation of China 71772016
6 · The paper itself

Abstract

backgroundThe stability of protein sequence structure plays an important role in the prevention and treatment of diseases.

resultsIn this paper, particle swarm optimization and tabu search are combined to propose a new method for protein structure prediction. The experimental results show that: for four groups of artificial protein sequences with different lengths, this method obtains the lowest potential energy value and stable structure prediction results, and the effect is obviously better than the other two comparison methods. Taking the first group of protein sequences as an example, our method improves the prediction of minimum potential energy by 127% and 7% respectively.

conclusionsTherefore, the method proposed in this paper is more suitable for the prediction of protein structural stability.

Indexed as

AlgorithmsProteinsAmino Acid SequenceProtein StabilityProteinsFusion algorithmPredictionProteinStable structure

Identifiers

PMID35999491
PMCPMC9396775

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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.