Harnessing the Convergence of HPC and AI in Bioinformatics: Challenges and Opportunities
摘要截稿:
全文截稿: 2024-06-30
影响因子: 6.125
期刊难度:
CCF分类: C类
中科院JCR分区:
• 大类 : 计算机科学 - 2区
• 小类 : 计算机:理论方法 - 1区
Overview
High-performance computing (HPC) is of utmost importance in the field of bioinformatics due to the vast amount of data generated and the complex computational tasks involved. HPC offers parallel processing capabilities, large memory resources, and high-speed interconnects, enabling researchers to execute complex algorithms and simulations efficiently. In bioinformatics, HPC plays a crucial role in various applications. For instance, it facilitates genome sequencing and assembly, where massive amounts of DNA sequences need to be aligned, compared, and reconstructed. HPC also aids in protein structure prediction, molecular dynamics simulations, and drug discovery, where complex calculations and simulations are performed to understand protein-ligand interactions and predict drug efficacy.
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For the last decade, the development of AI models in bioinformatics is rapidly evolving. For example, the development of AlphaFold2 for proteins structure prediction and large language models (LLMs) such as BioBert for bio-medical research. The success of AI in bioinformatics heavily relies on the availability of computing power and development of efficient training algorithms. These enable the efficient training and execution of AI models. The combination of AI and HPC has opened up new possibilities in genomics, drug discovery, and precision medicine, leading to ground breaking advancements in the understanding and treatment of diseases.
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In this special issue, we invite research articles and review articles aiming at presenting the most recent development and trend of HPC and AI algorithms/technologies for biomedical and biological research.
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Topics of interest include, but are not limited to algorithm and system development in the following areas:
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Guest Editors
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Yanjie WeiShenzhen Institute of Advanced Technology, Chinese Academy of Sciences, P.R. Chinayj.wei@siat.ac.cn
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Weiguo LiuSchool of Software, Shandong University, P.R. Chinaweiguo.liu@sdu.edu.cn
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Bertil SchmidtInstitute of Computer Science, Johannes Gutenberg-Universität Mainz, Germanybertil.schmidt@uni-mainz.de
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Quan ZouInstitute of Fundamental and Frontier Sciences, University of Electronic Science and Technology, P.R. Chinazouquan@nclab.net
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Limin JiangDepartment of Public Health Sciences, University of Miami, United Stateslxj423@med.miami.edu