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Ihr Team von Sack Fachmedien
Buch, Englisch, 550 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 450 g
The Convergence of AI and CRISPR
Buch, Englisch, 550 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 450 g
ISBN: 978-0-443-44079-3
Verlag: Elsevier Science Publishing Co Inc
Intelligent Gene Editing in Plants analyzes how AI-enabled design and CRISPR-based genome engineering are reshaping plant genetics, with a clear functional focus on delivering durable gains in crop productivity, stress tolerance, and nutritional quality.
The work unfolds in three parts: [i] a foundational survey of genome-editing technologies and the evolving role of AI in precise trait modifications and outcome prediction; [ii] a thorough exploration of applications and synergies, including AI-assisted gRNA optimization, off-target mitigation, regulatory-network analysis, and trait enhancement for disease resistance and climate resilience; and [iii] an emerging-horizons section on cis-regulatory edits, omics integration, synthetic biology, and next-generation editing.
Throughout, the volume interweaves practical experiences, cutting-edge methodologies, and case studies, alongside discussions of biosafety, ethical concerns, governance, and public perception, providing a holistic, decision-ready resource for students, researchers, practitioners, and regulatory authorities to navigate the opportunities and responsibilities of plant gene editing, with significant implications for sustainable agriculture and global food security.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Part I. An introduction to gene editing technologies
1. Gene editing technologies: A comprehensive overview
2. Revolution of CRISPR–Cas: Advancements in genome editing for agriculture
3. The CRISPR–Cas toolkit for gene editing in plants
4. CRISPR cargo delivery systems for intelligent plant genome engineering
5. Evolution of CRISPR technology, progress, and its future implications for crop improvement
6. Gene editing beyond food crops
7. Convergence of gene editing and AI: The future of gene editing in plants
8. From data to discovery: The role of AI in advancing gene editing
9. Machine learning approaches in gene editing
Part II. Applications and synergies of CRISPR and AI for plant gene editing
10. Practical design of gRNA: AI combined with CRISPR
11. AI for accurate prediction of on-target efficiency and minimization of off-targets in plants
12. AI for improved prediction of CRISPR repair outcomes
13. AI and CRISPR: studying gene functions and regulatory networks in plants
14. AI-driven gene editing for disease resistance in plants
15. Artificial intelligence tools for predicting off-targets in plant genome editing
16. AI and multiplex gene editing: The future of gene editing in plants
17. Artificial intelligence and CRISPR technologies for enhancing food security
18. Intelligent gene editing for stress tolerance in plants
19. AI-guided CRISPR in crop yield enhancement
20. AI-assisted regulation of gene-edited plants: Opportunities and challenges
21. AI and CRISPR: Biosafety, governance, and public perception of gene-edited organisms
22. CRISPR meets AI: New frontiers in developing insect-resistant crops
Part III. Emerging horizons of CRISPR
23. Editing cis-regulatory elements to enhance desired traits in plants
24. AI integration with omics and CRISPR to decipher complex traits in plants
25. AI and next-generation gene editing tools
26. Future landscape of CRISPR and AI in plant gene editing




