Emerging Artificial Intelligence Methodologies in Computational Biology
摘要截稿:
全文截稿: 2024-07-15
影响因子: 4.76
期刊难度:
CCF分类: 无
中科院JCR分区:
• 大类 : 生物学 - 2区
• 小类 : 生化与分子生物学 - 3区
Overview
Nguyen Quoc Khanh Le (Taipei Medical University, Taiwan) and Binh P. Nguyen (Victoria University of Wellington, New Zealand) together with Journal of Molecular Biology are organizing a special issue focused on the “Emerging Artificial Intelligence Methodologies in Computational Biology”.
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Recent advancements in Artificial Intelligence (AI) have significantly impacted various domains, and computational biology stands at the forefront of this transformative wave. The integration of AI methodologies with computational biology has opened new avenues for research, leading to breakthroughs in understanding biological processes, disease mechanisms, and drug discovery. This special issue aims to bring together cutting-edge research in the intersection of AI and computational biology, highlighting emerging methodologies and their applications.
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The primary objectives of this special issue are:
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The issue will include articles on a wide range of topics related to the integration of AI methodologies in computational biology, including but not limited to:
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The editors would like to invite researchers working in this field to submit Research Articles to join this special collection. The submission date is 15 July 2024.
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The research article should be in line with JMB’s scope: a molecular mechanistic study having a biological or disease relevance and contributing to the understanding of a significant biological or biochemical mechanism. The work should be of interest to a broad biologically oriented readership of JMB.
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Please let us know if you think you might have a suitable paper.
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Jasmin Bakker
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Senior Managing Editor Journal of Molecular Biology
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SUBMISSION INSTRUCTIONS:
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To make sure that your planned article is in line with the special issue, please send a pre-submission e-mail to the attention of Jasmin Bakker (Ja.Bakker@elsevier.com) and include:
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Deadline for submissions of full article: 15 July 2024