AIMC Topic: Gene Editing
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Predictable and precise template-free CRISPR editing of pathogenic variants.
Nature
Nov 7, 2018
Following Cas9 cleavage, DNA repair without a donor template is generally considered stochastic, heterogeneous and impractical beyond gene disruption. Here, we show that template-free Cas9 editing is predictable and capable of precise repair to a pre...
Identification of synthetic lethality based on a functional network by using machine learning algorithms.
Journal of cellular biochemistry
Aug 20, 2018
Synthetic lethality is the synthesis of mutations leading to cell death. Tumor-specific synthetic lethality has been targeted in research to improve cancer therapy. With the advances of techniques in molecular biology, such as RNAi and CRISPR/Cas9 ge...
A machine learning approach for predicting CRISPR-Cas9 cleavage efficiencies and patterns underlying its mechanism of action.
PLoS computational biology
Oct 16, 2017
The adaptation of the CRISPR-Cas9 system as a genome editing technique has generated much excitement in recent years owing to its ability to manipulate targeted genes and genomic regions that are complementary to a programmed single guide RNA (sgRNA)...
High-throughput robotic isolation of human iPS cell clones reveals frequent homozygous induction of identical genetic manipulations by CRISPR-Cas9.
Stem cell research & therapy
Jun 7, 2025
BACKGROUND: Genome editing in human iPS cells is a powerful approach in regenerative medicine. CRISPR-Cas9 is the most common genome editing tool, but it often induces byproduct insertions and deletions in addition to the desired edits. Therefore, ge...
Advancements in Organoid-Based Drug Discovery: Revolutionizing Precision Medicine and Pharmacology.
Drug development research
Jun 1, 2025
Organoids, 3D cellular models derived from stem cells, have revolutionized drug testing by providing human-relevant systems for modeling diseases and testing drug efficacy. Unlike traditional 2D cell cultures or animal models, organoids closely resem...
Learning to utilize internal protein 3D nanoenvironment descriptors in predicting CRISPR-Cas9 off-target activity.
NAR genomics and bioinformatics
Jun 1, 2025
Despite advances in determining the factors influencing cleavage activity of a CRISPR-Cas9 single guide RNA (sgRNA) at an (off-)target DNA sequence, a comprehensive assessment of pertinent physico-chemical/structural descriptors is missing. In partic...
Precise genome editing process and its applications in plants driven by AI.
Functional & integrative genomics
May 24, 2025
Genome editing technologies have emerged as the keystone of biotechnological research, enabling precise gene modification. The field has evolved rapidly through revolutionary advancements, transitioning from early explorations to the breakthrough of ...
Deep Learning-Based Classification of CRISPR Loci Using Repeat Sequences.
ACS synthetic biology
May 16, 2025
With the widespread application of the CRISPR-Cas system in gene editing and related fields, along with the increasing availability of metagenomic data, the demand for detecting and classifying CRISPR-Cas systems in metagenomic data sets has grown si...
Predicting adenine base editing efficiencies in different cellular contexts by deep learning.
Genome biology
May 8, 2025
BACKGROUND: Adenine base editors (ABEs) enable the conversion of A•T to G•C base pairs. Since the sequence of the target locus influences base editing efficiency, efforts have been made to develop computational models that can predict base editing ou...
[Intelligent design of nucleic acid elements in biomanufacturing].
Sheng wu gong cheng xue bao = Chinese journal of biotechnology
Mar 25, 2025
Nucleic acid elements are essential functional sequences that play critical roles in regulating gene expression, optimizing pathways, and enabling gene editing to enhance the production of target products in biomanufacturing. Therefore, the design an...
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