Associate Professor Kaan Yılancıoğlu, Head of the Department of Biosecurity at Üsküdar Üniversitesi’s Institute of Addiction and Forensic Sciences, provided information on how artificial intelligence is integrated with CRISPR (a gene-editing method) technology.
The Relationship Between Artificial Intelligence and CRISPR Technology
“Artificial intelligence (AI) and CRISPR technology are two significant innovations that are revolutionizing the fields of biotechnology and genetic engineering,” said Assoc. Prof. Kaan Yılancıoğlu, adding that AI plays an important role in processes such as identifying target genes, designing guide RNA (gRNA) used for gene targeting, and data analysis and interpretation to increase the effectiveness of CRISPR technology.
AI-Based Tools Minimize Unwanted Side Effects…
Assoc. Prof. Kaan Yılancıoğlu stated that artificial intelligence algorithms can analyze large biological data to identify genes and mutations associated with diseases, thereby enabling CRISPR to target more specific aims. He added, “Furthermore, AI-based tools can design more precise guide gRNAs by minimizing unwanted side effects and rapidly and accurately analyze the results of gene-editing experiments performed with CRISPR.”
Also Used in Planning CRISPR Experiments…
Emphasizing that artificial intelligence is also used in the planning and optimization of CRISPR experiments, Assoc. Prof. Kaan Yılancıoğlu said, “Machine learning algorithms learn from previous experiments to suggest the most effective experimental protocols and conditions, which accelerates the experimental process and reduces costs. AI also makes a significant contribution to developing personalized treatments based on individuals' genetic profiles. For example, AI-based tools like DeepCRISPR use deep learning techniques to predict the effectiveness and specificity of CRISPR guide RNAs. This integration contributes to accelerating genetic research, reducing costs, and expanding treatment opportunities.”
Effects of AI-Based Tools on the Development of CRISPR Systems...
Noting that AI-based tools can provide significant innovations and improvements in the development of CRISPR systems, Assoc. Prof. Kaan Yılancıoğlu used the following expressions: “Artificial intelligence algorithms help CRISPR systems define and target genes more precisely, reducing off-target gene targeting and preventing unwanted mutations. By designing the most effective guide RNA (gRNA) sequences, it can increase CRISPR activity and minimize potential off-target effects. Additionally, artificial intelligence can quickly and effectively analyze large and complex datasets to predict the success rate of edits and interpret the results. This helps researchers optimize experiments and achieve better outcomes.”
Can Identify More Effective CRISPR Enzymes
“Artificial intelligence can be used in the discovery of new CRISPR systems, identifying more effective CRISPR enzymes by scanning existing genetic databases,” said Assoc. Prof. Kaan Yılancıoğlu, adding, “It can develop combinatorial gene-editing strategies by simultaneously targeting multiple genes and improve experimental design and optimization processes. While assisting CRISPR technology in developing personalized gene therapies, it also provides high-throughput gene-editing processes through automated systems.”
Can Be Used in the Treatment of Genetic Diseases
“AI-supported CRISPR technology has great potential in the treatment of various diseases in the medical field. The integration of artificial intelligence with CRISPR technology ensures that gene-editing processes are more precise and effective,” said Yılancıoğlu, explaining which diseases can be treated as follows:
“The application areas of this technology include the treatment of genetic diseases (sickle cell anemia, cystic fibrosis, Duchenne muscular dystrophy), cancer treatment (T-cell modification and oncolytic viruses), infectious diseases (viral infections such as HIV and hepatitis B), neurological diseases (Huntington's disease and ALS), and cardiovascular diseases (hypercholesterolemia and atherosclerosis). For example, CRISPR can be used in the treatment of diseases such as beta-thalassemia, retinitis pigmentosa, and spinal muscular atrophy (SMA).
Can Open New Avenues in the Treatment of Rare Genetic Diseases!
Underlining that AI-supported CRISPR technology can provide advantages such as precision and specificity, speed and efficiency, and personalized medicine, Yılancıoğlu stated, “Artificial intelligence algorithms analyze large datasets to suggest the most effective gene-editing strategies and develop personalized treatments. In the future, it can open new avenues in the treatment of rare genetic diseases and prevent age-related diseases through genetic modifications, and the combination of CRISPR technology can revolutionize the treatment of a wide range of diseases in the medical field and enable the emergence of more precise, effective treatment methods.”
Also Accelerates Genetic Research Processes…
Yılancıoğlu also emphasized that the combined use of artificial intelligence and CRISPR technology offers the potential for many innovations and advancements that will profoundly shape the future of genetic research. He stated, “AI-supported CRISPR increases the precision of gene-editing operations, reduces problems like off-target effects, and enhances CRISPR's effectiveness by designing the most suitable guide RNAs. Artificial intelligence plays a significant role in analyzing large genomic datasets to identify genetic variants associated with diseases and in discovering new genetic targets. This enables the development of new approaches in the treatment of genetic diseases. Furthermore, artificial intelligence and CRISPR technologies develop personalized treatment strategies based on individuals' genetic profiles, accelerate genetic research processes, and increase efficiency.”
Also Aids in Previously Unimaginable Discoveries in Genetic Science…
Assoc. Prof. Kaan Yılancıoğlu concluded his remarks by stating that artificial intelligence can also be used to simulate and model the effects of genetic modifications, and to assess the potential risks and ethical issues of genetic modifications:
“This ensures that genetic research is conducted more safely and in accordance with ethical standards. The combined use of artificial intelligence and CRISPR can help to better understand the genetic basis of complex diseases and to develop previously unimaginable discoveries and treatment methods in genetic science. These technologies bring revolutionary innovations to the treatment of genetic diseases, while also increasing the scope and depth of genetic research.”
