Evidence map›Paper›PMID 39135699›Full record

ArticleiMeta2024

Deep learning enhancing guide RNA design for CRISPR/Cas12a-based diagnostics.

Baicheng Huang, Ling Guo, Hang Yin, Yue Wu, Zihan Zeng, Sujie Xu, Yufeng Lou, Zhimin Ai, Weiqiang Zhang, Xingchi Kan and 7 more

Abstract read
In one paragraph

Article in iMeta, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Review
  3. Machine Learning for CRISPR-Based Diagnostics.International journal of molecular sciences · 2026
    Review
  4. Review
  5. A novel typing method forFrontiers in microbiology · 2026
    Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Facilitating crRNA Design by Integrating DNA Interaction Features of CRISPR-Cas12a System.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  15. Article
  16. Article
  17. Review
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

17 authors.

Baicheng HuangZhejiang Lab Hangzhou China.
Ling GuoZhejiang Lab Hangzhou China.
Hang YinZhejiang Lab Hangzhou China.
Yue WuZhejiang Lab Hangzhou China.
Zihan ZengZhejiang Lab Hangzhou China.
Sujie XuZhejiang Lab Hangzhou China.
Yufeng LouDepartment of Laboratory Medicine, The First Affiliated Hospital Zhejiang University School of Medicine Hangzhou China.
Zhimin AiZhejiang Lab Hangzhou China.
Weiqiang ZhangZhejiang Lab Hangzhou China.
Xingchi KanZhejiang Lab Hangzhou China.
Qian YuZhejiang Lab Hangzhou China.
Shimin DuZhejiang Lab Hangzhou China.
Chao LiDepartment of Applied Mathematics and Theoretical Physics University of Cambridge Cambridge UK.
Lina WuSchool of Food Science and Pharmaceutical Engineering Nanjing Normal University Nanjing China.
Xingxu HuangZhejiang Lab Hangzhou China.
Shengqi WangBioinformatics Center of AMMS Beijing China.
Xinjie WangShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen Chinese Academy of Agricultural Sciences Shenzhen China.ORCID 0000-0002-1882-7845

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid and accurate diagnostic tests are fundamental for improving patient outcomes and combating infectious diseases. The Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) Cas12a-based detection system has emerged as a promising solution for on-site nucleic acid testing. Nonetheless, the effective design of CRISPR RNA (crRNA) for Cas12a-based detection remains challenging and time-consuming. In this study, we propose an enhanced crRNA design system with deep learning for Cas12a-mediated diagnostics, referred to as EasyDesign. This system employs an optimized convolutional neural network (CNN) prediction model, trained on a comprehensive data set comprising 11,496 experimentally validated Cas12a-based detection cases, encompassing a wide spectrum of prevalent pathogens, achieving Spearman's

Indexed as

Cas12aconvolutional neural networkCRISPRcrRNA designdeep learningdiagnostic

Identifiers

PMID39135699
PMCPMC11316927

What Socratic 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 Socratic graph.