Evidence map›Paper›PMID 38707538›Full record

ReviewComputational and structural biotechnology journal2024

Recent advances and challenges in protein complex model accuracy estimation.

Fang Liang, Meng Sun, Lei Xie, Xuanfeng Zhao, Dong Liu, Kailong Zhao, Guijun Zhang

Abstract readReview
In one paragraph

Review in Computational and structural biotechnology journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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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.

Fang LiangCollege of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China.
Meng SunCollege of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China.
Lei XieCollege of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China.
Xuanfeng ZhaoCollege of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China.
Dong LiuCollege of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China.
Kailong ZhaoCollege of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China.
Guijun ZhangCollege of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Estimation of model accuracy plays a crucial role in protein structure prediction, aiming to evaluate the quality of predicted protein structure models accurately and objectively. This process is not only key to screening candidate models that are close to the real structure, but also provides guidance for further optimization of protein structures. With the significant advancements made by AlphaFold2 in monomer structure, the problem of single-domain protein structure prediction has been widely solved. Correspondingly, the importance of assessing the quality of single-domain protein models decreased, and the research focus has shifted to estimation of model accuracy of protein complexes. In this review, our goal is to provide a comprehensive overview of the reference and statistical metrics, as well as representative methods, and the current challenges within four distinct facets (Topology Global Score, Interface Total Score, Interface Residue-Wise Score, and Tertiary Residue-Wise Score) in the field of complex EMA.

Indexed as

Consensus methodEstimation of model accuracyProtein complex structure predictionSingle model method

Identifiers

PMID38707538
PMCPMC11066466

What OpenQuestion holds

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Registered trials

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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.