AIMC Topic: CRISPR-Cas Systems
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Past, Present and Future Perspectives of Forensic Genetics.
Biomolecules
May 13, 2025
Forensic genetics has experienced remarkable advancements over the past decades, evolving from the analysis of a limited number of DNA segments to comprehensive genome-wide investigations. This progression has significantly improved the ability to es...
[Artificial intelligence-assisted design, mining, and modification of CRISPR-Cas systems].
Sheng wu gong cheng xue bao = Chinese journal of biotechnology
Mar 25, 2025
With the rapid advancement of synthetic biology, CRISPR-Cas systems have emerged as a powerful tool for gene editing, demonstrating significant potential in various fields, including medicine, agriculture, and industrial biotechnology. This review co...
DeepMEns: an ensemble model for predicting sgRNA on-target activity based on multiple features.
Briefings in functional genomics
Jan 15, 2025
The CRISPR/Cas9 system developed from Streptococcus pyogenes (SpCas9) has high potential in gene editing. However, its successful application is hindered by the considerable variability in target efficiencies across different single guide RNAs (sgRNA...
High throughput variant libraries and machine learning yield design rules for retron gene editors.
Nucleic acids research
Jan 11, 2025
The bacterial retron reverse transcriptase system has served as an intracellular factory for single-stranded DNA in many biotechnological applications. In these technologies, a natural retron non-coding RNA (ncRNA) is modified to encode a template fo...
Understanding TCR T cell knockout behavior using interpretable machine learning.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
Jan 1, 2025
Genetic perturbation of T cell receptor (TCR) T cells is a promising method to unlock better TCR T cell performance to create more powerful cancer immunotherapies, but understanding the changes to T cell behavior induced by genetic perturbations rema...
The Evolution of Nucleic Acid-Based Diagnosis Methods from the (pre-)CRISPR to CRISPR era and the Associated Machine/Deep Learning Approaches in Relevant RNA Design.
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2025
Nucleic acid tests (NATs) are considered as gold standard in molecular diagnosis. To meet the demand for onsite, point-of-care, specific and sensitive, trace and genotype detection of pathogens and pathogenic variants, various types of NATs have been...
DeepCRISTL: deep transfer learning to predict CRISPR/Cas9 on-target editing efficiency in specific cellular contexts.
Bioinformatics (Oxford, England)
Aug 2, 2024
MOTIVATION: CRISPR/Cas9 technology has been revolutionizing the field of gene editing. Guide RNAs (gRNAs) enable Cas9 proteins to target specific genomic loci for editing. However, editing efficiency varies between gRNAs and so computational methods ...
Generating, modeling and evaluating a large-scale set of CRISPR/Cas9 off-target sites with bulges.
Nucleic acids research
Jul 8, 2024
The CRISPR/Cas9 system is a highly accurate gene-editing technique, but it can also lead to unintended off-target sites (OTS). Consequently, many high-throughput assays have been developed to measure OTS in a genome-wide manner, and their data was us...
CRISPR-DIPOFF: an interpretable deep learning approach for CRISPR Cas-9 off-target prediction.
Briefings in bioinformatics
Jan 22, 2024
CRISPR Cas-9 is a groundbreaking genome-editing tool that harnesses bacterial defense systems to alter DNA sequences accurately. This innovative technology holds vast promise in multiple domains like biotechnology, agriculture and medicine. However, ...
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