Yanjie Wei, Weiguo Liu, Bertil Schmidt, Quan Zou, Limin Jiang
{"title":"HPC and AI in bioinformatics","authors":"Yanjie Wei, Weiguo Liu, Bertil Schmidt, Quan Zou, Limin Jiang","doi":"10.1016/j.future.2025.108019","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":55132,"journal":{"name":"Future Generation Computer Systems-The International Journal of Escience","volume":"24 1","pages":""},"PeriodicalIF":6.2000,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Future Generation Computer Systems-The International Journal of Escience","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1016/j.future.2025.108019","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
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.
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.