Evidence map›Paper›PMID 41295879›Full record

ArticleToxins2025

Identification of Unknown Biological Toxin Proteins Using Mass Spectrometry: A Case Study on De Novo Sequencing of Ricin.

Yubo Song, Hao Wang, Junjie Wen, Jiale Xu, Siyu Zhu, Fuli Wang, Yongqian Zhang

Abstract read
In one paragraph

Article in Toxins, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Yubo SongState Key Laboratory of Chemistry for NBC Hazards Protection, Beijing 102205, China.
Hao WangSchool of Medical Technology, Beijing Institute of Technology, Beijing 100081, China.
Junjie WenSchool of Medical Technology, Beijing Institute of Technology, Beijing 100081, China.
Jiale XuSchool of Medical Technology, Beijing Institute of Technology, Beijing 100081, China.
Siyu ZhuSchool of Medical Technology, Beijing Institute of Technology, Beijing 100081, China.ORCID 0009-0008-4919-0462
Fuli WangState Key Laboratory of Chemistry for NBC Hazards Protection, Beijing 102205, China.
Yongqian ZhangSchool of Medical Technology, Beijing Institute of Technology, Beijing 100081, China.ORCID 0000-0003-1047-3701

Funding

State Key Laboratory of Chemistry for NBC Hazards Protection SKLNBC2023-09
6 · The paper itself

Abstract

backgroundThe rapid and reliable identification of unknown or highly variable biological toxin proteins, such as the potent Ricin toxin, remains a critical challenge in biodefense and public security.

methodsTo address this, we developed a Heuristic De Novo Sequencing (HDPS) strategy, which combines multiple enzymatic and microwave-assisted acid hydrolysis to generate diverse peptides, followed by a two-stage assembly process integrating de novo sequencing with homology-based database searching for robust error correction.

resultsWhen applied to Ricin, this approach achieved 100% sequence coverage for both its A and B chains, with amino acid-level accuracies of 98.13% and 98.47%, respectively, and successfully corrected potential sequencing ambiguities.

conclusionsThese results demonstrate that HDPS is a highly accurate and effective method for the de novo sequencing of full-length proteins, making it particularly valuable for characterizing unknown or mutated toxins in the absence of comprehensive reference databases.

Indexed as

RicinToxins, BiologicalAmino Acid SequenceMass SpectrometrySequence Analysis, ProteinRicinToxins, Biologicalbiological toxin protein identificationheuristic de novo sequencingmass spectrometryricin

Identifiers

PMID41295879
PMCPMC12656286

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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.