Evidence map›Paper›PMID 38555371›Full record

ArticleNature communications2024

PLMSearch: Protein language model powers accurate and fast sequence search for remote homology.

Wei Liu, Ziye Wang, Ronghui You, Chenghan Xie, Hong Wei, Yi Xiong, Jianyi Yang, Shanfeng Zhu

Erratum issuedAbstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing 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

55 citing papers in PubMed.

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  12. Scalable homology detection with ERAST.Nature biotechnology · 2026
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  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
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  19. Exploring the protein universe with distant similarity detection methods.Protein science : a publication of the Protein Society · 2026
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Wei LiuInstitute of Science and Technology for Brain-Inspired Intelligence and MOE Frontiers Center for Brain Science, Fudan University, 200433, Shanghai, China.ORCID http://orcid.org/0009-0000-4375-9760
Ziye WangInstitute of Science and Technology for Brain-Inspired Intelligence and MOE Frontiers Center for Brain Science, Fudan University, 200433, Shanghai, China.ORCID http://orcid.org/0000-0001-5850-0049
Ronghui YouInstitute of Science and Technology for Brain-Inspired Intelligence and MOE Frontiers Center for Brain Science, Fudan University, 200433, Shanghai, China.
Chenghan XieSchool of Mathematical Sciences, Fudan University, 200433, Shanghai, China.
Hong WeiSchool of Mathematical Sciences, Nankai University, 300071, Tianjin, China.
Yi XiongDepartment of Bioinformatics and Biostatistics, Shanghai Jiao Tong University, 200240, Shanghai, China.ORCID http://orcid.org/0000-0003-2910-6725
Jianyi YangMinistry of Education Frontiers Science Center for Nonlinear Expectations, Research Center for Mathematics and Interdisciplinary Science, Shandong University, 266237, Qingdao, China. yangjy@sdu.edu.cn.ORCID http://orcid.org/0000-0003-2912-7737
Shanfeng ZhuInstitute of Science and Technology for Brain-Inspired Intelligence and MOE Frontiers Center for Brain Science, Fudan University, 200433, Shanghai, China. zhusf@fudan.edu.cn.ORCID http://orcid.org/0000-0002-6067-5312

Funding

National Natural Science Foundation of China (National Science Foundation of China) 62272105Science and Technology Commission of Shanghai Municipality (Shanghai Municipal Science and Technology Commission) 2018SHZDZX01
6 · The paper itself

Abstract

Homologous protein search is one of the most commonly used methods for protein annotation and analysis. Compared to structure search, detecting distant evolutionary relationships from sequences alone remains challenging. Here we propose PLMSearch (Protein Language Model), a homologous protein search method with only sequences as input. PLMSearch uses deep representations from a pre-trained protein language model and trains the similarity prediction model with a large number of real structure similarity. This enables PLMSearch to capture the remote homology information concealed behind the sequences. Extensive experimental results show that PLMSearch can search millions of query-target protein pairs in seconds like MMseqs2 while increasing the sensitivity by more than threefold, and is comparable to state-of-the-art structure search methods. In particular, unlike traditional sequence search methods, PLMSearch can recall most remote homology pairs with dissimilar sequences but similar structures. PLMSearch is freely available at https://dmiip.sjtu.edu.cn/PLMSearch .

Indexed as

Biological EvolutionProteinsAlgorithmsMolecular Sequence AnnotationSequence Analysis, ProteinProteins

Identifiers

PMID38555371
PMCPMC10981738

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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.