Evidence map›Paper›PMID 37047235›Full record

ArticleInternational journal of molecular sciences2023

Current Bioinformatics Tools to Optimize CRISPR/Cas9 Experiments to Reduce Off-Target Effects.

Muhammad Naeem, Omer S Alkhnbashi

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
10.3field-weighted citation impact, top 1% of its field
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

32 citing papers in PubMed, 67 citations in OpenAlex.

  1. Genome Editing Approaches in Flax (International journal of molecular sciences · 2026
    Review
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  10. Recent advances in therapeutic gene-editing technologies.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    Review
  11. Article
  12. Structural Characterisation of TetR/AcrR Regulators inInternational journal of molecular sciences · 2025
    Article
  13. Article
  14. D-CAPS: an efficient CRISPR-Cas9-based phage defense system forActa biochimica et biophysica Sinica · 2025
    Article
  15. CRISPR-Cas9 and Its Bioinformatics Tools: A Systematic Review.Current issues in molecular biology · 2025
    Review
  16. Review
  17. Artificial Intelligence-Based Genome Editing in CRISPR/Cas9.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
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  20. 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

2 authors at 1 institution in 1 country.

Muhammad NaeemDepartment of Bioengineering, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran 31261, Saudi Arabia.
Omer S AlkhnbashiInformation and Computer Science Department, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran 31261, Saudi Arabia.ORCID 0000-0001-8088-590X
King Fahd University of Petroleum and Minerals · SA

Funding

King Fahd University of Petroleum and Minerals EC221001, ECR212-ICS-236,RC14
6 · The paper itself

Abstract

The CRISPR-Cas system has evolved into a cutting-edge technology that has transformed the field of biological sciences through precise genetic manipulation. CRISPR/Cas9 nuclease is evolving into a revolutionizing method to edit any gene of any species with desirable outcomes. The swift advancement of CRISPR-Cas technology is reflected in an ever-expanding ecosystem of bioinformatics tools designed to make CRISPR/Cas9 experiments easier. To assist researchers with efficient guide RNA designs with fewer off-target effects, nuclease target site selection, and experimental validation, bioinformaticians have built and developed a comprehensive set of tools. In this article, we will review the various computational tools available for the assessment of off-target effects, as well as the quantification of nuclease activity and specificity, including web-based search tools and experimental methods, and we will describe how these tools can be optimized for gene knock-out (KO) and gene knock-in (KI) for model organisms. We also discuss future directions in precision genome editing and its applications, as well as challenges in target selection, particularly in predicting off-target effects.

Indexed as

CRISPR-Cas SystemsGene EditingComputational BiologyRNA, Guide, CRISPR-Cas SystemsRNA, Guide, CRISPR-Cas Systemsbase editorsbioinformaticsCRISPR/Cas9deep learningmachine learningoff-target effectsprime editingsgRNAtools

Identifiers

PMID37047235
PMCPMC10094584
OpenAlexW4361006995

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.