AIMC Topic: Gene Editing
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Prime editor with rational design and AI-driven optimization for reverse editing window and enhanced fidelity.
Nature communications
Jun 3, 2025
Prime editing (PE) is a precise tool for introducing genetic mutations in eukaryotes. Extending the efficient editing scope and mitigating undesired byproducts are possible. We introduce reverse PE (rPE), a SpCas9-directed variant that enabled DNA ed...
CRISPR-MFH: A Lightweight Hybrid Deep Learning Framework with Multi-Feature Encoding for Improved CRISPR-Cas9 Off-Target Prediction.
Genes
Mar 28, 2025
BACKGROUND: The CRISPR-Cas9 system has emerged as one of the most promising gene-editing technologies in biology. However, off-target effects remain a significant challenge. While recent advances in deep learning have led to the development of models...
Engineering a New Generation of Gene Editors: Integrating Synthetic Biology and AI Innovations.
ACS synthetic biology
Feb 25, 2025
CRISPR-Cas technology has revolutionized biology by enabling precise DNA and RNA edits with ease. However, significant challenges remain for translating this technology into clinical applications. Traditional protein engineering methods, such as rati...
Transitioning from wet lab to artificial intelligence: a systematic review of AI predictors in CRISPR.
Journal of translational medicine
Feb 4, 2025
The revolutionary CRISPR-Cas9 system leverages a programmable guide RNA (gRNA) and Cas9 proteins to precisely cleave problematic regions within DNA sequences. This groundbreaking technology holds immense potential for the development of targeted ther...
Protocol for functional screening of CFTR-targeted genetic therapies in patient-derived organoids using DETECTOR deep-learning-based analysis.
STAR protocols
Jan 31, 2025
Here, we present a protocol for the rapid functional screening of gene editing and addition strategies in patient-derived organoids using the deep-learning-based tool DETECTOR (detection of targeted editing of cystic fibrosis transmembrane conductanc...
Synthetic biology and artificial intelligence in crop improvement.
Plant communications
Dec 12, 2024
Synthetic biology plays a pivotal role in improving crop traits and increasing bioproduction through the use of engineering principles that purposefully modify plants through "design, build, test, and learn" cycles, ultimately resulting in improved b...
Balanced Training Sets Improve Deep Learning-Based Prediction of CRISPR sgRNA Activity.
ACS synthetic biology
Nov 4, 2024
CRISPR-Cas systems have transformed the field of synthetic biology by providing a versatile method for genome editing. The efficiency of CRISPR systems is largely dependent on the sequence of the constituent sgRNA, necessitating the development of co...
Effective genome editing with an enhanced ISDra2 TnpB system and deep learning-predicted ωRNAs.
Nature methods
Sep 23, 2024
Transposon (IS200/IS605)-encoded TnpB proteins are predecessors of class 2 type V CRISPR effectors and have emerged as one of the most compact genome editors identified thus far. Here, we optimized the design of Deinococcus radiodurans (ISDra2) TnpB ...
The transformative potential of AI-driven CRISPR-Cas9 genome editing to enhance CAR T-cell therapy.
Computers in biology and medicine
Sep 10, 2024
This narrative review examines the promising potential of integrating artificial intelligence (AI) with CRISPR-Cas9 genome editing to advance CAR T-cell therapy. AI algorithms offer unparalleled precision in identifying genetic targets, essential for...
Artificial intelligence in plant breeding.
Trends in genetics : TIG
Aug 7, 2024
Harnessing cutting-edge technologies to enhance crop productivity is a pivotal goal in modern plant breeding. Artificial intelligence (AI) is renowned for its prowess in big data analysis and pattern recognition, and is revolutionizing numerous scien...
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