CRISPR–Cas9 gRNA efficiency prediction: an overview of predictive tools and the role of deep learning

V Konstantakos, A Nentidis, A Krithara… - Nucleic Acids …, 2022 - academic.oup.com
The clustered regularly interspaced short palindromic repeat (CRISPR)/CRISPR-associated
protein 9 (Cas9) system has become a successful and promising technology for gene …

[HTML][HTML] Computational approaches for effective CRISPR guide RNA design and evaluation

G Liu, Y Zhang, T Zhang - Computational and structural biotechnology …, 2020 - Elsevier
Abstract The Clustered Regularly Interspaced Short Palindromic Repeat (CRISPR)/CRISPR-
associated (Cas) system has emerged as the main technology for gene editing. Successful …

[HTML][HTML] Optimized libraries for CRISPR-Cas9 genetic screens with multiple modalities

KR Sanson, RE Hanna, M Hegde, KF Donovan… - Nature …, 2018 - nature.com
The creation of genome-wide libraries for CRISPR knockout (CRISPRko), interference
(CRISPRi), and activation (CRISPRa) has enabled the systematic interrogation of gene …

SpCas9 activity prediction by DeepSpCas9, a deep learning–based model with high generalization performance

HK Kim, Y Kim, S Lee, S Min, JY Bae, JW Choi… - Science …, 2019 - science.org
We evaluated SpCas9 activities at 12,832 target sequences using a high-throughput
approach based on a human cell library containing single-guide RNA–encoding and target …

Recent advances in machine learning applications in metabolic engineering

P Patra, BR Disha, P Kundu, M Das, A Ghosh - Biotechnology Advances, 2023 - Elsevier
Metabolic engineering encompasses several widely-used strategies, which currently hold a
high seat in the field of biotechnology when its potential is manifesting through a plethora of …

Sequence-specific prediction of the efficiencies of adenine and cytosine base editors

M Song, HK Kim, S Lee, Y Kim, SY Seo, J Park… - Nature …, 2020 - nature.com
Base editors, including adenine base editors (ABEs) and cytosine base editors (CBEs),, are
widely used to induce point mutations. However, determining whether a specific nucleotide …

[HTML][HTML] Integration of CRISPR/Cas9 with artificial intelligence for improved cancer therapeutics

AA Bhat, S Nisar, S Mukherjee, N Saha… - Journal of translational …, 2022 - Springer
Gene editing has great potential in treating diseases caused by well-characterized
molecular alterations. The introduction of clustered regularly interspaced short palindromic …

[HTML][HTML] The current state and future of CRISPR-Cas9 gRNA design tools

LOW Wilson, AR O'Brien, DC Bauer - Frontiers in pharmacology, 2018 - frontiersin.org
Recent years have seen the development of computational tools to assist researchers in
performing CRISPR-Cas9 experiment optimally. More specifically, these tools aim to …

An overview and metanalysis of machine and deep learning-based CRISPR gRNA design tools

J Wang, X Zhang, L Cheng, Y Luo - RNA biology, 2020 - Taylor & Francis
The CRISPR-Cas9 system has become the most promising and versatile tool for genetic
manipulation applications. Albeit the technology has been broadly adopted by both …

Benchmarking deep learning methods for predicting CRISPR/Cas9 sgRNA on-and off-target activities

G Zhang, Y Luo, X Dai, Z Dai - Briefings in Bioinformatics, 2023 - academic.oup.com
In silico design of single guide RNA (sgRNA) plays a critical role in clustered regularly
interspaced, short palindromic repeats/CRISPR-associated protein 9 (CRISPR/Cas9) …