人工智能在计算生物学和生物信息学方面的进步:综合性审查
Viswanathan Nalina1, Dhamodharan Prabhu2, Jesudass Joseph Sahayarayan1
1Department of Bioinformatics, Science Campus, Alagappa University, Karaikudi, Tamil Nadu, India.
Methods in molecular biology (Clifton, N.J.)
|June 24, 2025
概括
人工智能 (AI) 正在通过增强药物发现和精准医学的数据分析来彻底改变计算生物学和生物信息学. 这篇评论探讨了人工智能.
科学领域:
- 计算生物学和生物信息学
- 生命科学中的人工智能 (AI)
背景情况:
- 由于人工智能,计算生物学和生物信息学已经取得了重大进展.
- 人工智能方法对于应对复杂的生物挑战至关重要.
- 处理庞大的生物数据集需要与大数据分析和高性能计算集成.
研究的目的:
- 综合人工智能方法的最新发展,用于计算生物学和生物信息学.
- 探索AI应用在序列分析,蛋白质结构预测和药物发现方面.
- 突出AI在精准医学,个性化基因组学和系统生物学中的作用.
主要方法:
- 审查基本的AI概念,包括机器学习算法 (神经网络,支持矢量机器,决策树).
- 对特定生物信息学任务的AI算法进行调整和优化.
- 人工智能与大数据分析,云计算和高性能计算的整合.
主要成果:
- 人工智能算法正在有效地处理和解释各种生物数据 (基因组序列,蛋白相互作用,基因表达).
- 人工智能正在推动精准医学,个性化基因组学和系统生物学方面的突破.
- 人工智能正在彻底改变对复杂生物系统的理解,并推动医疗保健和生物技术的发展.
结论:
- 人工智能对计算生物学和生物信息学具有变革性的潜力.
- 新出现的挑战包括道德影响,模型验证和跨学科合作.
- 本综述为人工智能驱动的生物科学未来的研究和开发提供了路线图.
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