生物信息学中的高性能计算和人工智能

IF 6.2 2区计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS

Future Generation Computer Systems-The International Journal of Escience Pub Date : 2025-07-16 DOI:10.1016/j.future.2025.108019

Yanjie Wei, Weiguo Liu, Bertil Schmidt, Quan Zou, Limin Jiang

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引用次数: 0

摘要

前所未有的生物数据和现代生物医学研究的计算强度需要变革性的解决方案。高性能计算（HPC）和人工智能（AI）已经成为推动生物信息学创新的关键技术。人工智能和高性能计算的结合彻底改变了基因组学、药物发现和精准医疗。本期特刊邀请了关于高性能计算和人工智能技术用于生物医学和生物学研究的最新趋势的评论和研究文章。本刊共收录论文8篇，涉及虚拟药物筛选、生物序列分析、药物-靶点相互作用/药物-疾病关联、宏基因组学等广泛的研究领域。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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HPC and AI in bioinformatics

The unprecedented generation of biological data and the computational intensity of modern biomedical research demand transformative solutions. High-Performance Computing (HPC) and Artificial Intelligence (AI) have emerged as pivotal technologies driving innovation in bioinformatics. The combination of AI and HPC has revolutionized genomics, drug discovery, and precision medicine. This special issue invited review and research articles on the latest trends in HPC and AI technologies for biomedical and biological research. Overall 8 papers were accepted in this issue covering a wide range of research areas, including virtual drug screening, biological sequence analysis, drug-target interaction/drug-disease association, metagenomics etc.

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来源期刊

Future Generation Computer Systems-The International Journal of Escience 工程技术-计算机：理论方法

CiteScore

19.90

自引率

2.70%

发文量

376

审稿时长

10.6 months

期刊介绍： Computing infrastructures and systems are constantly evolving, resulting in increasingly complex and collaborative scientific applications. To cope with these advancements, there is a growing need for collaborative tools that can effectively map, control, and execute these applications. Furthermore, with the explosion of Big Data, there is a requirement for innovative methods and infrastructures to collect, analyze, and derive meaningful insights from the vast amount of data generated. This necessitates the integration of computational and storage capabilities, databases, sensors, and human collaboration. Future Generation Computer Systems aims to pioneer advancements in distributed systems, collaborative environments, high-performance computing, and Big Data analytics. It strives to stay at the forefront of developments in grids, clouds, and the Internet of Things (IoT) to effectively address the challenges posed by these wide-area, fully distributed sensing and computing systems.