Evidence map›Paper›PMID 40344384›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Facilitating crRNA Design by Integrating DNA Interaction Features of CRISPR-Cas12a System.

Zhihao Yao, Wanglu Li, Kaiyu He, Hongmei Wang, Yan Xu, Qun Wu, Liu Wang, Yao Nie

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Facilitating crRNA Design by Integrating DNA Interaction Features of CRISPR-Cas12a System.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    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

8 authors.

Zhihao YaoThe Key Laboratory of Industrial Biotechnology, Ministry of Education, State Key Laboratory of Food Science and Resources, School of Biotechnology, Jiangnan University, Wuxi, Jiangsu, 214122, China.
Wanglu LiState Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Institute of Agro-product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China.
Kaiyu HeState Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Institute of Agro-product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China.
Hongmei WangState Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Institute of Agro-product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China.
Yan XuThe Key Laboratory of Industrial Biotechnology, Ministry of Education, State Key Laboratory of Food Science and Resources, School of Biotechnology, Jiangnan University, Wuxi, Jiangsu, 214122, China.
Qun WuThe Key Laboratory of Industrial Biotechnology, Ministry of Education, State Key Laboratory of Food Science and Resources, School of Biotechnology, Jiangnan University, Wuxi, Jiangsu, 214122, China.ORCID https://orcid.org/0000-0001-6756-196X
Liu WangState Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Institute of Agro-product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China.
Yao NieThe Key Laboratory of Industrial Biotechnology, Ministry of Education, State Key Laboratory of Food Science and Resources, School of Biotechnology, Jiangnan University, Wuxi, Jiangsu, 214122, China.

Funding

Key R&D Program of Zhejiang 2023C02006National Natural Science Foundation of China 32172175National Natural Science Foundation of China 32172307NIEHS NIH HHS 27306C2006Postgraduate Research & Practice Innovation Program of Jiangsu Province KYCX24_2592Priority Academic Program Development of Jiangsu Higher Education Institutions, the 111 Project NO.111-2-06
6 · The paper itself

Abstract

The CRISPR-Cas12a system has gained significant attention as a rapid nucleic acid diagnostic tool due to its crRNA-guided trans-cleavage activity. Accurately predicting the activity of different targets is significant to facilitate the crRNA availability but remains challenging. In this study, a novel approach is presented that combines molecular dynamics simulations and neural network modeling to predict the trans-cleavage activity. Unlike conventional tools that rely solely on the base sequences, our method integrated sequence features and molecular interaction features of DNA in the CRISPR-Cas12a system, significantly improving prediction accuracy. Through feature importance analysis, key sequence features that influence Cas12a trans-cleavage activity are identified. Additionally, a crRNA-DNA library with over 23 456 feature sequences from representative viruses and bacteria is established, and validated the high predictive accuracy of the model (Pearson's r = 0.9328) by screening crRNAs from reference targets. This study offers new insights into the molecular interactions of Cas12a/crRNA-DNA and provides a reliable framework for optimizing crRNA design, facilitating the application of the CRISPR-Cas12a in rapid nucleic acid diagnostics.

Indexed as

CRISPR-Associated ProteinsCRISPR-Cas SystemsDNABacterial ProteinsEndodeoxyribonucleasesMolecular Dynamics SimulationRNA, Guide, CRISPR-Cas SystemsBacterial ProteinsCas12a proteinCRISPR-Associated ProteinsDNAEndodeoxyribonucleasesRNA, Guide, CRISPR-Cas Systemsactivity predictionCRISPR‐Cas12adeep learningmolecular dynamics simulationtrans‐cleavage

Identifiers

PMID40344384
PMCPMC12224974

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.